Transcript for:
Overview of Microsoft Azure Concepts

Hello everyone, Welcome to this session on Microsoft Azure. Today in this session, I'll be teaching you guys what is Microsoft Azure end-to-end. So let's get started. Now before starting off with the video guys, I would request you all to like, share and subscribe to our channel so that you don't miss out on any new updates from Intellipaat. So now let's get started. So the first topic that we'll be talking about is what is cloud computing and then move on to discuss the various cloud models on which the companies operate. Once we're done with that we'll talk about the top three cloud providers which exist in the market among which Microsoft Azure is also present. Once we're done with that we'll move on and get introduced to what is Microsoft Azure exactly and then move on to discuss the core Azure architecture on which Azure operates. Once we're done with that, we'll move on and talk about what are subscriptions and what are resources which are a very important part of the azure operation. Once we're done with that we'll move on and talk about the core Azure services that you should know off when you're working as an azure professional and towards the end I'll show you guys how to architect an Azure application end to end so that you don't have any doubts and you can actually implement all the concepts that you're learning in the video. Towards the end, we have also planned a quiz for you guys which you have to attempt and the answers you have to give in the YouTube comments and we'll verify it for you and tell whether you're right or wrong. Alright guys, so let's get started with the first topic which is, what is cloud computing? All right guys, let's now start this session by first discussing what is cloud computing? right. So let's go ahead and understand first cloud computing by its definition. So guys by definition, cloud computing is nothing but the use of remote servers on the Internet to do your tasks. It could be basically hosting an application, it could be hosting your database server, it could be anything right. When you use servers on the internet or when you use somebody else's servers on the Internet rather than using your own servers or computers, when you use somebody else's computer on the internet that is called cloud computing right and the person or the company who provides you with that kind of server is called a cloud provider. this is a gist of what cloud computing is now obviously cloud computing has more things to it and we will discuss that as we move along right. Now to give you an example as to how you can imagine how cloud works is like this. Let's say you are a developer okay and what do you want to do is you want to host an application. So you basically start up a company and you have an idea which is similar to let's say Instagram and that idea is a billion dollar idea right and what you want to do is you want to start off by just creating the application by yourself, you don't want to hire any people right because you wanted to keep the cost minimum. So you develop the code by yourself and now the application is ready but you have to make this application available to the world, so how do you do that. So the first thing that you will have to do is you have to buy some servers and you'll have to put that application on those servers. So once your application is on those servers, the next top task would be to basically make that application available on the internet right and how to make it available on the Internet. You basically connect Internet to these servers and you assign a public IP to these servers and now your application is basically available on an IP address. next step ypu would do is you would buy a domain and the next thing that you know is now the domain is ready and now your application anybody on the Internet who goes to your particular domain would be able to access your application ok. So there is this is the normal life cycle of how applications were launched before cloud computing. Now the problem over here guys is that you invested some money on the servers and guys servers are not cheap. They are very very expensive right and as a guy who is starting up with their company, you might think that this idea is worth billion dollars but if you actually think about it, there's a lot of risk and there's a lot of I mean there's a 50% probability because you are just starting off now that you might fail. Although, there's a probability of a 50%probability that you might succeed as well but there are a lot of risks that are involved and there's a lot at stake over here because you're investing a lot of money on these servers right. So this is the general way of starting up a business before cloud computing emerged. Now after cloud computing, it has become very simple now. Let's say you come up with an idea and now you want to deploy your application, all you have to do is you will go on cloud and you would say hey I need some servers for deploying my application. So you would get those servers which would already be connecting to the internet or everything would be set up by the cloud provider you just have to use them right and the only thing the cloud provider would expect from you is he would say like hey you know what you just have to pay me for the time that you're using the server's for and that's about it. I don't need anything else from you right. Now, that's an awesome thing. Now the kind of pricing that cloud computing gives you is a pay-as-you-go price and that basically means you just pay for the amount of time that you're using servers for. In case of azure, it counts in terms of minutes right. So the number of minutes that you would be using the servers for, it will charge you according to that right. Now if you again think about what all changes came about over here when I was not using cloud and when I'm using cloud now. The first change that would come about here is if let's say you know you were not using cloud computing and you bought these servers, now obviously somebody has to manage these servers for you as well right and now when somebody has to manage them for you, there's always a chance of downtime as well. So you always have in your back of your mind will always thinking of whether my servers are up and running or not. Do I need more people to handle these kind of service? When your application becomes big, you would also have to scale these servers. So all these problems would be at the back of your mind and at the same time you also have to develop code for it right. So that's a lot on your plate. Now what cloud does for you is, it says you know you just pay me for the amount of time you're using the service for, I on the other hand will hire the workforce that is required to manage these servers. I own the other hand as a cloud provider, will also scale you servers as and when required, when the demand increases on the application. You just sit back, relax and you code your application that's all you have right. And guys this is the biggest advantage that you get with cloud computing right. You can focus on the work that you have to do. Everything logistical or everything operational with respect to managing servers is handled by your cloud provider and what is better than paying less for that right. You're paying less, you're hiring less workforce and at the same time you're getting a better quality of internet hosting available. Basically, like you imagine and now if you have to secure an application, you'll have to buy, you'll have to hire a security engineer who will basically secure your application, you will also have to hire people who will ensure that all that your application is up and running, how by basically scaling them up and down, that your number of servers so you would need deployment engineers, you would also have to keep some servers in your stack so that whenever new servers are required, whenever the demand goes up those can be plugged and played as and when required right. So these are all the things that you have to do but now with cloud computing you don't have to do that because everything is managed by the cloud provider, you just have to code your application. So summarizing the advantages that you get with cloud computing is that while you starting up, you don't have to invest a lot right that is the number one advantage. Number two. you can focus on your app development, you don't have to focus on you know what is happening on my server? Are my servers running or fine or not? Are the security patches updated or not? Everything will be managed by your cloud provider and the third thing is that it requires like workforce because obviously you are not hiring anyone to manage your servers, everything is being done by the cloud provider. If you wanna hire people who can actually hire more developers, so that your coding work is distributed among them right. So these are the advantages guys that you get with cloud computing. Now cloud computing is offered in various types of services and that we will discover as we move along but those types of services leads to different kind of applications or different kind of products on the cloud. For example, you might have heard about this you might have heard about Google Drive, you might have heard about Netflix, Airbnb. All these applications are basically hosted on cloud and you might not even realize it right. Now if we talk about Google Drive, Google Drive is nothing but it's a kind of service, its software as a service that is given to you by cloud provider. What is software as a service, we discuss that as we move along but just understand that Google Drive is a cloud product. It is basically hosted on Google's infrastructure right. You don't care about where if you are uploading a file on Google now, you don't care about where on which server is it being stored right. You don't care about which operating system is that server running. You don't care about you know whether the hardware on that server is good enough to basically handle the speed with which you want to work. You don't care about anything right. You just care about your file being there on Google Drive and you know it's gonna be there. Why? Because you trust Google with your things, you trust Google that it will manage everything on the infrastructure side and that is exactly what cloud computing is all about. Similarly, when you talk about Netflix. Netflix is a very popular video streaming surface I'm sure all of you must have used it that is itself also who should you want to cloud right. So Netflix will rely on Netflix to be always up and running and Netflix itself relies on the cloud provider on which it is hosted that you know they will ensure that I am up and running always right. So that is how cool, you know the concept of cloud is that a popular service such as Netflix is also not caring about how this servers are managed, all of that is managed by your cloud provider. Similarly, you must have also heard about Airbnb, you must have also heard about the e-commerce come a company in the Giant which is Amazon then there is also Prime video, all of these products they are basically hosted on cloud right. So if you have them in there, you would also recognize Flipkart. FlipKart is again an e-commerce giant which was recently taken over by Walmart right. Flipkart also is completely hosted on a cloud provider. In Flipkart's case, it's basically hosted on Microsoft Azure right. So, we will be talking more about azure as we move along but guys these are some of the products that you might be using in your everyday life which are based basically hosted on the cloud right. Alright guys, so before moving ahead just a quick update guys, this is not the complete Azure course. If you want to complete Azure training, you can actually head on to our website. We have a course called Azure master certification training which will not only get you certified in one Azure certification which is admin or architect or developer but all the three right. So if you're interested, the course link is in the description box. Please go ahead and click on that here and you will get the course details. So without wasting any time guys, let's go ahead and continue with the session. Now moving forward guys, we were talking about cloud computing services. There are various kind of services that cloud computing has to offer us. They are basically the cloud computing business is based on two kind of model and we'll discuss those models in this section which is cloud computing models. Alright guys, now let's discuss the various cloud models on which basically cloud companies are working and are earning right. So basically, cloud computing gives us two models. The first model is the deployment model and the next model are the service models. Now what are these? Let's ask us them one by one. So guys, deployment models are basically the way you can deploy your application on cloud right. The various ways you can deploy your application on cloud are basically called deployment models right. So that's a thing that you choose how do you want your application to be deployed. How are they deployed? We'll discuss that in a few moment. But first, let's discuss how is it different from service model? So guys, service models are different like service models are how do you want your service to be or how do you want the cloud provider to give you a particular service? Do you want an infrastructure from the cloud provider? Do you want a platform from cloud provider or do you want a software from a cloud provider, right. Now, what does these three things mean. So, when you talk about infrastructure as a service, you basically expect that you would be given a machine to work on from the cloud provider that basically means you will get access to the operating system. In case of platform as a service product, you get is a basically a dashboard anything where you will not get access to the operating system but you know you get access to a dashboard on which you can upload your application and basically see whether your application is up and running right. So a software installation everything is handled by the cloud provider and the next thing is software as-a-service where in you do not get access to the operating system. You do not get access to a dashboard where you can upload your code but what we do get is a software that has made by the cloud provider which you can use to cater to your needs. For example, there are various CRM software out there which are hosted on cloud. For example, Zoho CRM, it's a cloud product right. Google Drive on which we used to basically use for solving your storage needs is again a software-as-a-service. Similarly you can think of a lot of things which are basically software that you use in your day-to-day life on which you cannot upload your code but you can actually use that software. For example Facebook is also a software and it's hosted on cloud so that also falls into software service. Instagram is a software that you use that also is hosted on cloud that also falls in the software service. Platform as a service is a little different basically because you will be uploading code on it and that will be deployed on a server that you would not be aware of right. So that's why it's a platform, it gives you a platform to code and that's why it's a platform as a service and on the other hand when you talk about infrastructure as a service like I said you get the access to the operating system. Similarly, when we talk about deployment models, public cloud is nothing but when you share your code or when you share your machine with other people on the network as well right. More about that I'll talk as you move along right. But let me first tell you the differences between private, public and hybrid cloud. So private cloud is nothing but when you are, when you do not want to share your machine with anybody else right. You just want, you all go to exist on the machine and then you have something called a hybrid cloud which is basically a mixture of both of them right. So let's go ahead and discuss each of them in detail as we move along right. So let's first talk about the deployment models. So the Diployment models like I said there are public, private and hybrid.The first one is public cloud. So what basically happens is that when you deploy a machine on cloud, when you deploy virtual machine on cloud, it is not a separate machine which gets deployed on cloud. So what basically happens is that each cloud provider, they buy machines which are humongous in size right. It could have around 30 petabytes of storage and it can have around let's say 200 GB of RAM or 300 GB of RAM or even more than that right. So each machine has this kind of specification. Now what they do is, they install hypervisors on these machines and what do hypervisors or virtualization software is do is that they launch multiple machines on this very same system right. So, let's say you launch five machines on Microsoft Azure. So that could mean that all your five machines which are launched may be hosted on one particular server as well that's a possibility right. So this is how cloud provides you with different kind of specification machines. They basically buy one kind of machine, they buy all their servers with one kind of specification. But according to your needs, according to what kind of specification you want, they virtualize the machine from that very server and obviously they launch more virtual machines also from that very server if the resources are free right. This is how cloud works. Now what happens in case of public cloud is that let's say you are launching a virtual machine right and you have launched it let's say on Microsoft Azure, so if there is one more company let's say you are Amazon okay and there's one more company let's say it's a Flipkart or let's say it's Walmart. So if they come up to Microsoft Azure and they say that you know what I also want to launch my website on your cloud platform it could be that both of your websites are actually being hosted from the same server right. Now this might sound okay to you because you believe in your cloud provider and you know they guarantee you security to your applications, they guarantee you that no data of yours will be hacked from the other people who are also sharing the same hardware as you. But some companies, they basically say or they have some confidential data which they do not want to share with anyone right. So we will come to that but if you are okay with this kind of first setup where and you know your application could be on the same hardware on which other applications are also there or other people also using it, then you term it as public cloud because you are on the cloud which where all the public can basically come up and they can launch their own servers and it could be that you are existing on the same server as well but you don't care about that that is public cloud. Next type of cloud is private cloud, so private cloud is for those companies that I was talking about which basically want confidentiality and they want security in the utmost manner that they can right. So let's talk about some government agencies right. So because if some government agency have to host their data on cloud and let's say they turn on to Microsoft Azure for that matter, so they would say okay so we don't care about the money that if you have to pay you right but we want security in the most highest regards possible. So what Microsoft Azure tells them is you know what although we have this system in place which is unhackable, it's technically unhackable, no other person who is hosted on the same server as you would be able to get into your website but if you are still concerned because you know in technology actually there is nothing called as unhackable. Everything can be hacked right. It's just Hardware right. If earlier people can like if you would have heard about people jail-breaking iPhones and Apple every time it comes up with a new phone it says it's the most secure device on the planet and still people managed to hack it right. So same is the situation here as well. Even though your cloud provider is guaranteeing you that you know your hardware that you own and if there are other companies also on that hardware, they will not be able to hack into your data still you know the companies they do not want to take any chance so they offer private cloud. So I was taking the example of government agencies which have very you know would volatile data with them data which is very very confidential. So they don't take any risk, they also opt for a private cloud. A private cloud basically means is that they would give you one unit of their server for your use right. You use that server as you own it, no other company will be hosted on that particular server that the cloud provider guarantees you right. So that is termed as a private cloud one other way that you can create the private cloud is then you can buy your own servers right and you can set up set them up in our datacenter and what I can do is you can install the hypervisor, the virtualization software on top of it and you can use those servers as if you are using any other cloud provider for that matter. Like if you use Microsoft Azure you can deploy machines with various specifications similarly we'll be able to do that in your data center as well but the scene is over there you have bought your own servers right on the other side of the second type of private cloud that I discussed with you is when your cloud provider that is a company like Microsoft Azure they would say ok you know what I can provide you a server on which I will not be putting any other company and you can use that server as your own and is also termed as private cloud okay so these are the two prong bodies first we discussed private cloud also a public cloud and then we discussed private cloud the third type of cloud which exists in terms of deployment in terms of how you can deploy your application and cloud is called hybrid cloud now what is hybrid cloud as the name suggests it's basically a mixture of public and private cloud now why would you use a deployment model like this so one use case that can I can tell you guys is let's say you know because I told you private clouds are expensive let's say you have a distributed kind of an application on which storage is done on one server the website hosting a let's say done on the other server so what do you do is because your website is already facing the internet what you do is on the private cloud you basically just store your files all right and you know all the confidential data is stored on the private server on the other hand the website is actually hosted on the public server because anyways it has to be exposed on to the Internet you create a private connection between your server that is your website server and your back-end storage which is basically on private cloud and then they interact so it basically gives you an advantage of saving some money because now your website exists on the public cloud so if there's anything related to website anything related scaling the ADA to website or anything for that matter everything you will happen on the public cloud and if there is any extra space or extra resources required on the private cloud you will actually have to set up a new server which will be storing the extra data for you you do not have the option of choosing the cheaper option which is public cloud in this case because now private cloud is very expensive and only that in beforehand then if I if you put your application on private floor I'll give you one cool server for your own use and nobody else will be deployed on it right so if Kaling and actions has to happen but only your data will be stored on it and you do not or you cannot have a control on how much specification do you need on that computer because obviously you will be buying that own buying that computer also for yourself right on the other hand if you deploy it on a using a cloud provider that is you buy a private cloud or you host or you ask your cloud provider to basically give you a private cloud on their own premises so they might give you a server which is configurable but again that is more expensive than what is there on your public cloud so that is how a hybrid implementation guys works moving forward guys now we have discussed about the various deployment points the various ways you can deploy your application on cloud now let's discuss the various service models which exist on cloud right so we already because there are three kind of services that can be offered to you on cloud you might get an infrastructure service platform as a service or a software service nowadays infrastructure and service like you already know I have already explained the ways when you get access to the operating system right of an application or off your server that is you can configure or you can install anything on that server I have fill joints you can install a database you can install web applications you can install any back-end application whatever you want in soil you can install and it's you also do whatever you want with it right that is called infrastructure as a service on the other hand when you come as to platform as a service in that case we do not give you an access to the operating system in fact they do not give you the access to the machine as well they just say we'll give you a dashboard you upload your code over there and I will voice your application for you let me handle all the operations let me install the required software needed for your code let me do everything able to scaling let me do everything for you right so in that kind of a scenario that kind of a service is called platform-as-a-service okay and the third type of software in the service where we have already discussed that when you get access to software rather than a platform or the whole machine as a service you call it a software service and the examples were Google drive's the examples were Facebook Instagram Gmail anything of that sort origin you do not have the option of uploading your code to host your application you basically can just use that application that's termed as software as a service now moving on four legs let's talk about who provides these kind of services right now this was cloud in general right but today's session is about Microsoft Azure so how does Microsoft Azure fit into this kind of a story if let us explore that so that is the top three cloud providers in the whole world are basically AWS and then you have Microsoft Azure and then you have Google cloud so all these three companies they provide the cloud business model on their own infrastructure right so every concept that we studied is provided by these three cloud providers and let's let's put it out there that AWS is the most used cloud provider in the world right it's the top cloud rider with the largest market share but that does not mean that Microsoft Azure and Google cloud a little nests operational or are not that great as AWS it's just that AWS was launched way back in 2006 and that's why most of the companies who got you here didn't you know okay so the undershoot cloud and they said okay so it's actually going to save a lot of costs for us they moved on to AWS and because there was no other cloud provider at that particular time they are now still on AWS because now of course those companies it's shifted at that time they are now completely dependent on the cloud provider and if they'd like to migrate that will actually cost them a lot right and that is right AWS has the largest market share reason being it came here first and hence there are more and more people who are actually hosting their applications from a The Bluest the second-largest cloud provider is Microsoft Azure right so their Microsoft reserve was recently lost I guess it was launched in 2012 right and since then it has grown a lot right so it has thirteen or fourteen percent of the whole market share right off of the whole cloud paradigm and it is growing exponentially every year right while is turning about Microsoft Azure I will give you a lot of facts you know the upcoming slides but what I want to point out over here is the growth of Microsoft Azure is more then the growth of AWS right so at the growth rate at which AWS is growing Microsoft Azure is growing at a triple speed then the growth of AWS so that just shows that people have started adopting Microsoft Azure people have started using Microsoft Azure and that but that there is no points that you know people have stopped using AWS that basically means no this shift that I see in the ministry right now is everyone wants their application up and running they do not want any discontinuation in processes which are running 24/7 in their organization so for having that kind of availability so basically Essen is when you deal with SAS SAS are basically service and agreements so when companies they get in partnership with cloud providers and they say you know you lose our cloud service for us they also sign service level agreements where they cloud why this is you know this is the amount of guarantee that I can give you that you don't have service would be up and running so the this SFA's are usually 97 98 99 % it basically means your cloud provider is guaranteeing 99% of your uptime throughout the lifecycle that you will be on that cloud provider but you know companies they still do not like the number 99 they feel you know why should I take a risk for that one percent so what the do is they actually rely on other cloud providers as well right so if let's say our application is hosted on Microsoft Azure and what you want to do is here your Microsoft is always saying you know your application is going to be up 99% of the times so what you do is you replicate your architecture and you deploy it on a secondary cloud provider as well because whenever your cloud provider will be down let's say your Microsoft Azure cloud computing service goes down right so if that goes down you at least have a backup which will serve as your main website again or your main application again which is hosted on some other cloud provider and hence you know even if Microsoft Azure is down your other cloud provider does not get affected right and hence your business still continues so this is a shift that I'm seeing in industry that people are not only on cloud but they are now on multiple cloud providers as well so that you know the application never go down so guys like I said the three top top riders are AWS Microsoft Azure and Google cloud but now let's go ahead and talk about why are we learning or Microsoft Azure today when I mentioned that you know AWS is the largest role player in the market why am I not showing about either blue is why am i showing about Microsoft Azure so if we go ahead and tell you guys why right so the reason for that is that Microsoft Azure in terms of Microsoft products like you have both know that at some point of your life in IT or at home you would have used a Microsoft product that's how where they have integrated oil or that's how well they've designed their product that each and every person on this planet if they are into IT they must have used Microsoft products at one point in their life right and Microsoft if the gives you a benefit in in terms of using Microsoft products that it see is that if you are on cloud and if you want to use any Microsoft product like Windows or SQL for that matter AWS whatever price you the place gives as your can give you a price which is five times cheaper than that price the reason for that is very simple that Microsoft owns the licenses and ends a license which is basically being bought by Amazon would be you know cost you to them and when they give you that license on a shared basis that is on a timely basis obviously they'll charge you more but when it comes to Microsoft they have those charges in hand because it's a old license right so what they tell you is that dude you know what whatever AWS is charging you for that particular instance or a product for a software which is by Microsoft which is running on that server I'm going to give you that same server in one fifth of the price so this is the first advantage that you get with Microsoft together if you are into Microsoft products if your application is using any kind of Microsoft product you will find it one fifth of the price when compared to AWS the second thing is that if you have Microsoft licenses obviously if you are let's say in a business and you are using some Microsoft software you obviously would have bought some licenses and when you want to go onto cloud you know you do not want to pay for the licenses as well you just won't pay for let's say the server that you are using why should you pay for the operating system when you have actually paid for that operating system before when you purchase it for your office laptop or your office server right so what you can do is or what option Microsoft Azure gives you is the bring your own license option so you bring your own license you get the license key to them and they will not charge you anything for their licensing even the 1/5 cost that they were charging we will not charge you that if you have your own license if you have your own Microsoft license and you bring that to the Microsoft Azure cloud ok so that is that is second advantage that you get with Microsoft Azure and the third advantage alligator's that more than 95 percent of Fortune 500 companies are actually using Microsoft Azure now that could be either in the case of a primary cloud provider or could be using Microsoft as well as secondly cloud provider or it could be using some products of Microsoft Azure but if we talk about the companies the fortune 500 companies 95% of them are using Microsoft Azure right so if you get yourself certified in Microsoft Azure you have a 95 percent probability of hitting a company if you go 200 companies you have a 95 percent chance that you will be actually landing up in a company which will be using some kind of a Microsoft Azure service right so that's a pretty huge number and that actually gives you a higher probability of getting a job as well in these fortune 500 companies so these are the three main advantages as to why Microsoft Azure is being preferred by businesses for their work right and that's what companies have now started to shift to Microsoft Azure as well and that is why it is seeing such a expert shoot exponential growth rate when compared to AWS now now that you know that you know why are we learning Microsoft Azure the reason for that is obviously the chances of getting yourself a job in Microsoft Visio is not right now let's move on and talk about what exactly Microsoft is journalist right alright guys so before moving ahead just a quick update guys this is not the complete SEO course if you want to complete as your training you can actually head on to our website we have a course called as your master certification training which will not only get you be certified in one as your certification which is admin or architect or developer but all the three right so if you're interested the post link is in the description box please go ahead and click on that here and you will get the course details so without wasting any time guys let's go ahead and continue with the session so guys Microsoft Visio is basically a cloud service which is developed by Microsoft right it is owned and managed by Microsoft and it offers you its services in a pay-as-you-go model and it is a second-largest cloud provider in the world right so this is what Microsoft is your s so whatever I've taught you with regards to the concepts of cloud all of them are given to you by Microsoft Azure right and all the advantages that will do all that you get with Microsoft Azure and all you pay for that particular service is based on the number of minutes that you're using its services for right that's how amazing cloud is and that's how amazing even Microsoft Azure is right now let's move forward and talk about how Microsoft Azure basically works right so we have discussed enough about what cloud computing is what is Microsoft is you're we are we all clear with that why we using it why we learning it today we are all clear with that now let's get into the technical aspects of Microsoft Azure and understand how does basically Microsoft Azure is structured in terms of its architecture alright guys now let's go ahead and understand the as your core architecture so Kay this is the core architecture for Azure as you can see there are four ways of accessing your right these four components are basically nothing but four different ways of accessing the azure resources right so the as your resource manager is basically a mediator between the as your resources and the external agents which can interact with the azure resources now to interact with the azure resource manager you need these four ways now what are these four ways the first way is the azure portal now what is here's your portal the azure portal is nothing but the GUI website that you get provided with right for example if you go to portal dot as you're calm once you have signed up on a jar you can basically go to that portal and you can deploy any kind of resource that you want right so you can control and manage the resources from that interface so that interface is called the as your put right the next thing is Azure PowerShell now what is the zero power shell so there is a thing called Microsoft Publisher also that exists in a Windows system so if we're using a Windows system you can just type in a start by PowerShell and you would be able to see what PowerShell is so it is some native Microsoft product now what Azure or what Microsoft's provide you with is it also gives you an extension for making your PowerShell interact with Microsoft Azure right and once you install that extension once its installed on your system your PowerShell would be able to connect to Microsoft Azure which will basically give you the ability of controlling or deploying resources on Microsoft Azure using the command line so that's Azure PowerShell similarly you have something called as as your CLI now PowerShell is like I said is a product from Microsoft Azure CLI is basically done on the DOS prompt all right so dos is all together a difference of fear which has been there since ages on Windows right so if you want if you are more inclined towards using the DOS prompt you can actually install the necessary software for Azure and then you can use the DOS commands to use or manage or deploy as your resources so this is a third way of accessing your reservation sources and then you have something called as rest lines now what a rest lines rest lines are nothing but they are api's which you can include in your web applications right for example you can create our own web application through which you can create or use your as your account for example let's say you create a website wherein you know you take the user input you take an integer number from the user and then you have created a button which is called deploy and what that does is whatever number you have mentioned it basically deploys that many number of servers on Microsoft Azure right but you are not basically doing that directly it's from the azure portal oh you're not doing it that so the PowerShell or you're not doing that through as your CLI what you have done is you have created your own application and you have linked your application to your Azure account and you're making or you're making that website or you're allowing that website basically to control your as your resources and this is possible using ApS which are also called rest lines right now these resources in case of Azure PowerShell an azure CLI they would interact with the help of SDKs to connect to as your resource manager your Azure portal any red screens can directly interact with the azure resource manager and what is it as the resource manager like I previously stated it's nothing but a mediator so basically what happens is all the resources which are deployed on Azure they're they are not directly accessible by the user even if he is using the website or using the PowerShell or using the CLI or using the rest lines every request has to go to the resource manager and what the azure resource manager does is it basically authenticates your request it will check whether you as a user of a Microsoft Azure account have the necessary permissions to do a certain tasks which are trying to do with your application for example when you create a Microsoft Azure account you will have the option of creating multiple users in that same account so that multiple people can work on your own account for example let's say you start a startup or you open a startup right and now you have higher detecting now what do you want to do is you want your CTO or the person who's going to be managing your tech team the admin access of here's your account and on the other hand the developers who probably let's say if one of the developers is going to work on the Azure storage right so you won't just want him to access Azure storage you don't want them to access as your VMs or any other kind of as your service so what you can do is you can create a user and you can give definite permissions as to what he can access and what he cannot exist okay now how will this be helpful now let's say your technical manager he signs in as a user right and he signs in let's say through the azure portal and then he tries to deploy a VM resource or was a machine or he tries to use his toilet good you would be able to do so why because he has the administrator access you have given him and he'd be able to do everything that you can do on the other hand let's say now your developer comes in he also logs in through the azure portal he also sees everything which is there right but the moment he tries to deploy a virtual machine because he has to go through all his requests would be going through the azure resource manager when the azure resource manager authenticates this guy and sees whether he has the permissions to launch over the machine or not the basically the authentication fields so the Authenticator will basically say no this guy does not have that permission so as your resource manager will not take a request for word it will basically revert you back with the error message saying you do not have the sufficient permissions to carry out this task right and this is the sole reason we need a mediator between our as your resources and the and the various ways through which we can use as your now this would be in the same case with Azure PowerShell this would be the same case with the zero CLI when he uses your PowerShell with your as your account you obviously have to enter your credentials in case of a developer he will be entering his credentials that you have given to him right and those basically just have the access to the storage and again you would also get the same kind of message in Azure PowerShell similarly you will get the same kind of messaging as a CLI and even in the rest lines right so when you connect your website through your Azure account again you will get a key and a secret access key right or in other case or what you will have to do is you'll have to include some metadata on your our server on which you are hosting that website and that metadata would basically authenticate you to the user account so for every user you get a different kind of credentials for your metadata in case of a developer you will get a different set of credentials and those credentials would basically when they'll be authenticated they would get or they will inherit the same properties or the same permissions that the developer account has and accordingly your as your resource manager will authenticate and check whether you do you do you have the required permissions or not right and accordingly you would be able to do the operations so that is summing up or just revisiting what we just studied so there are basically four ways to access as your you have as your portal as your partial as a CLI and you have less lines right all of these they interact through the user resource manager and there is your resource manager based on what kind of permissions you have it basically routes your request to the necessary service and carries out the tasks for you right so this is a gist of how as your works in the backend now let's move forward and talk about the front-end the middleware and the services right so the front-end as we discussed there were four ways of accessing as your services which were this is the azure portal this is your PowerShell this is your zero CLI and then you have the rest lines the middleware was nothing but it was you as your resource manager it be discussing that and then you have the services that we'll be discussing in a few moments right so let's start off with the front-end part of the front-end components so what is your portal so guys the azure portal looks something like this right it's a GUI component that you get on your web browser and on your web browser you can basically you can see the on the left hand side you have things as all resources you have web apps you have SQL databases you can just select the service that you want and you can subsequently launched it will be discussing more on this as you move along I'd be showing you guys a portal I'd be showing you guys how you can use it to deploy resources for now is the Sun designing what the other portal looks like and this is what it looks like right on the right hand side you get all kind of widgets so these are visits these are called widgets which show different enough information right so you have the option of including these visits on a dashboard more on this we will talk as we move along in the session so as this was the azure portal this is the Azure PowerShell so I told you guys Microsoft has launched its own command line which it now comes with Windows integrated which is called PowerShell if you want to use that PowerShell with your Azure account what is after ways you'll have to download some libraries which will help your PowerShell to basically connect to ensure and once you do that you would basically see something like this Windows Azure PowerShell and now you can enter the post PowerShell commands which would basically help you to connect to your account and carry out whatever you want in a command line fashion right similarly if you are into DOS you can actually go ahead and use as your CLI so dos commands are different from PowerShell and there could be a scenario wherein you're better at DOS commands than your PowerShell commands and if that is the case you can actually go ahead and just install the libraries for us your CLI and then you can actually use it in the DOS environment right in this case also if you want to manage resources like you were managing it through Power Cells through command-line statements you can do a similar kind of way in as your CLI as well but the commands that you would be entering over here they'd be more in line with DOS commands on the other hand when we talk about PowerShell we would be using PowerShell commands to control as you're in that case okay so this was a saucy Li guys in the nest and the last topic is rest clients so rest lines as I already told these are nothing but API is that you use on your website so you'll have to authenticate them using the metadata or credentials and these credentials would be available for all the accounts that are created under root Microsoft Azure account so each credential would be different from each other based on if there are more users for example in our case we created a user for our IT manager and then we created a user for a software developer for a software developer we just giving to storage access for our IT manager we basically gave him the administrator access so when they put their credentials down the code of their web application and they try to connect to azad based on the permissions at their they would be able to access the resources in case they do not have the permission you will get a corresponding error to that thing this particular user does not have the necessary permissions to access that particular racial or against so these were the front-end components of the azure core architecture now let's talk about the middleware the component which basically acts as a mediator between your touch points that is your front-end components and the core components which is the azure resources so it's acts as a mediator the as your resource manager so as your resource manager it basically helps you to deploy and manage the azure resources right it also helps you to organize resources in a cell for example it will help you in grouping resources together let's say I'm launching a web application okay and I'm also at the same time launching some other applications let's say I'm also launching my android app back-end service so what I can do is let's say if I'm launching a web application I would need a certain components I would need let's say I need a separate storage from a web application right so I can create a storage account I would create a web app and then I would create a database so now if I create it just like that in Azure and you try to see all the resources you would not be able to make out as to which resources are there for my Android application and which resources are there for my web application what you can do is probably you can define nomenclature and then you can say probably you can name your instances like let's say for Android database you can say Android underscore database for your web application you can save web app and the score database so that's one way of sorting it out but as your resource manager makes it easy for you how does it make it easy it basically gives you the ability to create groups right so if you are creating one kind of an application what you can do is you can create a group and inside that group you can basically just map the resources or launch the resources that are specifically there for that particular application for example for a web application I can launch all the resources that I want and I can group them together in the web application group right I can name the group anything it's just like a folder guys if you were to understand it more simply understand it's just for sorting out resources let's say you have a deck store full of files and those files the PDF txt and Doc documents so what you can do is you can just create three folders and inside those three folders you can put your dog folders in the inside the PDF folder you can put PDF files and set the text files you can put the text files right so this is the way of sorting on a desktop similarly if you want to sort your resources in Azure you can use the ability of creating resource groups using the as your resource manager right and at the same time the third point or the third feature of as a resource manager is it or ten decades it checks what all permissions you have and based on that it gives you the ability to control your resources right so it also authenticates your calls to the azure resources and only through the as your resource manager would your calls go and if they are accepted by the user resource manager only then they will be forwarded otherwise they would be rejected and you would get an appropriate message for that all right so there this was all about the azure resource manager so I was talking to you about what are the source Krupa's so as you can see let's say this is a resource group of mine and what I want to do is I want to group all these three resources so my VM instance that I launched that is termed as a resource if I launch a web app that is also termed as the resource don't worry if you don't understand what is the virtual machine what is the web app I will talk more about this as we move along in the session but for now understand that any service in Azure any instance that you launch in Israel that is basically a resource right and when you group one or more resources together or I should say two or more resources together for a particular thing whichever so I give you the null energy of folders if you group them together and that symbolizes something that basically can be done using resource groups and that is exactly what is specified in the figure as well right so you have some virtual machines you have app servers and you have SQL database and you have all grouped them together in a resource group and probably you can call it let's say the production environment you can create a test environment call the resource group a test environment and deploy the necessary resources inside that as well all right guys so before moving ahead just a quick update guys this is not the complete as your course if you want to complete as your training you can actually head on to our website we have a course called as your master certification training which will not only get you be certified in one as your certification which is admin or architect or developer but all the three right so if you're interested the post link is in the description box please go ahead and click on that here and you will get the course details so without wasting any time guys let's go ahead and continue with the session so guys with this we come to an end of because your core architecture so by now you understand the nitty gritties of how Azure works in the backend right how things are structured insiders are moving forward guys now we will be talking about the azure services right so we'll be talking about the resources that we just saw the resources that we were grouping inside the resource flow or the resources which basically there's your resource manager was managing we're going to talk about those and those are nothing but services in a zero right so it will become more clear as we move along so let's just start off now with core is your services okay so for starting of the services guys there's again simpler way to understand all the services in is your what does your has done is let's there are around 300 plus services in us all right now it is difficult to actually remember all those services or to basically know how one service is different from the other so what does your has done is it has actually divided its services based on what the services does or what the services do right so the major sections that it has divided its services in are DS right so these are not all the sex that Azure gives us the services in but these are all the important sections or the important domains in which as your provide you services and as a cloud engineer or as a as your engineer when you'll be working in companies mostly you would be working on services which are included in these domains right we'd be covering these guys there is no much your engineer out there who would be knowing each and every service in a job right but what do we as learners can do is we can learn all the important services which are basically used in your everyday life when you become a cloud engineer right and as and when you apply to companies probably you can tell them you know all the basic services all the important services on Azure and if there is any special requirement for a particular service that they use it is obviously going to be an easier task for you since you understand how is your works so understanding one more service in Azure would not be a great deal but most of the times I would say 90% of the things that you'd be doing as a cloud engineer or 90% of the services that you would be using or working on as a cloud engineer would be covered under these terms so now let's go ahead and start off with the first domain which is compute but before that let me give you a brief about all of these domains right so the first domain is compute so in compute you have compute intensive resources wherein you get the raw processing part more on this we will talk about as we move along then the second kind of domain is networking so this particular domain would include all the services which provide you with networking capabilities right then you have the storage domain which basically gives you all the services in Azure which can basically give you the capability of storing some files right and obviously there are a lot of services and stories and each service is targeted at a different kind of use case so we're going to discuss some of the storage services in Azure which are very prominent then you have services related to database and analytics right so if you want to store actual data which also you want to analyze using graphs or using flowcharts right you can do that energy or in the domain data please plus analytics then our next domain comes out to be AI and machine learning now this is a very important to being honest and I've seen actually people who are data scientists people who are researching on data science so basically when you're working on designs or when you're working with AI you need a lot of computing power right now the good thing about cloud is that it offers you a pay-as-you-go model which basically means you only pay for the time you use the resources for right and nobody can afford you know a high spec machine if you need an i7 and octa-core processor an hour 32gb ram it's very difficult for a layman to get hold of such kind of a machine so what researchers and what data scientists can do is they can actually launch a machine on a jar with a similar spec that they want for their use case use it for the time they want and shut it off and you'll be charged as low as around 0.05 or 0-6 dollars I guess for if you use it for half an hour or so right so I guess half an hour of qualifying minutes should be enough if you want to do a POC or if you even do resourcing or if you're into testing I guess this would be the cheapest option for you rather than getting a full-blown server or full-blown laptop with high specs and all that'll be more expensive for use it's better if you use services from cloud for your compute intensive needs but that is not it what you get in a and machine learning domain is you get a you know you get a pre-built dashboard kind of a thing so you don't have to feed in algorithms everything is pre-built in Azure you basically get a drag-and-drop kind of a push functionality when you are particularly using Azure ml because I've used that I am telling you it's pretty drag-and-drop if you compare it with its counterparts let's say if you want to do a regression test in our you would actually have to write a long script to do a particular thing but the the kind of services that azure has launched for example like I mentioned as your ml all you have to do is drag and drop and you can get your right so that's how convenient it is and that's why people I'm more and more to save their time to save on their costs they're actually using the AI and machine learning capabilities of the cloud and particular we are talking about a gorge so as your also has a and machine learning services which also we will be discussing as we move along in the session right then the next domain is identity so identity to me domain would basically include services which will help you in authenticating users it will help you to basically get the metadata credentials that we discussed earlier for your website so all the authentication part the authorization part whenever you want to give specific permissions to particular users all of that can be managed with the identity services and lastly we would be discussing the domain which is management which would basically include services such as monitoring it would include services such as infrastructure as code right don't worry about these big words guys as we move along everything will be clear but without wasting time let's jump on to our first domain which is compute and let us understand what are the different services that were gonna understanding that right so in computers you basically have four prominent services you have virtual machines you have function apps you have app service and then you have as your cube innately service so the first service that we're gonna discuss about is the Azure virtual machine service now what is that nobody's as your virtual machines and nothing but it's it's basically a server or I can say the most layman terms possible let's just say it's a computer just like a laptop which has just installed windows on it and nothing else is there right for example let's say you buy a laptop what is the first thing that you see you see your windows there or you see a Mac OS there or you see your Linux operating system there and basically no no no software is all it's just a bare minimum operating system which is given to you and whatever you want to do on your laptop you install it and then you work all right so similarly virtual machines are their virtual machines are nothing but the machines that are launched by your cloud provider which in our case is your and they launched it for you so you don't have to worry about very allocating it from they launch it for you and what they do is they give you the remote access to it right so it's basically like working on your own laptop but working on it from a remote location so similarly you get your own machine on Azure which is freshly made right you have a fresh operating system on it there are no software is installed and whatever you want you can install on this particular server so we call it server because basically you'd be using it for deploying applications which would be basically be available to the user so that's why require a server right so basically your server all computers that are launched by us your for your own personal use but you would be accessing it remotely if it's a Windows machine in a GUI case you can basically do an RDP and use it if it's a Linux machine you can do basically do an SSH and you can work on the command line for it but remember there are no software installer and there are no extra software installed on it so anything that you want this over to do for example let's say you want to create a database server you can ingest install database on it and we'll be ready right and it will be ready for accepting requests for the database service if you want it to be a web server you can basically install Apache PHP etc and then you can put your website on it it'll become a web so anything and everything that you want or that you can do on your laptop you can do on virtual machines so this is what as your virtual machines is guys now the next kind of service is similar to virtual machines but it's actually an advanced version of virtual machine so what our function apps so those function apps is like I said it's an advanced version of virtual machine in which you do not get the access of the operating system okay so I let me give you an example for example let's say you are let's say doing some work on a website and that website basically let's say it does processing for you for example let's say you are on Facebook and what you do is you upload a profile picture and once you upload a profile picture let's say you want to drop that profile picture to a particular size and then you want to upload it as a image on your Facebook so what will happen so you will upload your image on the Facebook app you will do the cropping part let's say you want to add a filter as well you add that filter and then you click on save and then you want it to be uploaded as a profile picture on your Facebook right so there is a minimum amount of processing that would have to be done on your image some processing has to be done on your image right and basically how that works is that processing is actually not done on your phone or on your computer on which you're accessing Facebook that is actually done on the Facebook servers but the way we handle it is they basically would have a web server in place they would separately have a database server in place which would be interacting with your web server and for the processing they have a separate server ok and that separate server is basically called up back in server and what is that back-end server do all the requests which comes in it basically processes it and gives out the result that's the sole job of a back-end so and why is it separate why is it not integrated with the web server the simple reason for that is let's say there are a hundred users who are using your website right and they are constantly exploring a website going through the UI doing uploading images doing processing and everything now your back-end component is doing the image processing and the front-end component of yours which is the website component of yours is basically serving the website to the users right so there are two tasks happening over there and let's say any one of them they get overloaded with some work right that would hamper the performance of the second component let's say if there are more users on the website right so obviously your web component or the website component of your server would require more processing power so let's say it takes up 60% of the processing and let's see what happens is all these people who came in they upload their profile pictures and they put some filter on and they now want to process it so one is your server is already busy serving these hundred people your website and the CPU mark is at 60% now because of the processing load which is coming on to your back-end component that also requires around 80% CPU to work efficiently but now because 60% has already been taken by your website server there is only 40% left so what will happen in this case your server will inadvertently become slow right it'll become slow and it it might even crash in case a deadlock situation happens right and this was usually the case when we even not aware of distributed computing but nowadays what happens is we are dealing in a world where we cannot afford downtime and that is the reason everything has been distributed right so if there is more load on my back end server my back-end server is going to handle it it will not hamper the performance of my website server or my database server so every software component is now distributed and why are we discussing this we are discussing this because we are talking about function app now what is the function app function app is nothing but a back-end service on which you do not have to deal with the operating system like you do in virtual machines you do not get an access to the operating system you cannot install any kind of software on it whatever you choose let's say you have an option of choosing what kind of back-end code you want to run on the function app let's see your image processing whatever code you have written for the image processing app lets you have written it in Python so when you will be deploying a function app what will be choosing is what kind of code would I be uploading on the function app let's say you choose Python the next thing that you would be doing is you'll be clicking on next and then it will make your function app ready and then it'll ask you for the code for the image processing you given the code you click on save and now you're back in server is ready to accept requests that's it so now all your website server has to do is bring the back-end server with the required information with the image it will basically take the image it will run through the code see what it has to be done do the processing on the image and give the image back the websites over or to the Facebook servers which basically upload the profile picture right so energy status function app a function app is basically a service which will not give you access to the operating system it will basically give you one dashboard on which you can upload code and it can do any task you all you have to do is give it to work it will do for you and that's about it you don't have mess around with anything else you don't have to worry about what machine says I should give to my function app you don't have to worry about how many machine should I run so that my function app never gets overloaded everything is managed by us you're all you have to do is given the code and see your application working so these kind of applications are basically called platform as a service and the earlier service as we discussed was virtual machine is basically called infrastructure as a service why infrastructure as a service because in that case you got access to the operating system right you can do anything on that server you can stall anything you can actually delete everything also and you can make that server hang or you can make that server not working you can actually uninstall the installation files or the operating system as well that is something that you can do with your server but what will happen is it will not cause any harm to us you're basically you would not be able to use this over in in the far end time you'll basically have to delete it because it won't be usable that's the most extreme thing which could happen but the case with function app is because it's a platform as of which it's giving you a dashboard on which you can upload code and hence it's a platform right it is not giving you access to the operating system it is not giving you access to what software you can install you just choose the environment in which your poor can run and that's it that's what a function app is all about it's a back-end server without choosing or worrying about the underlying infrastructure moving forward the next service that we have is app service app service is yet another platform as a service kind of resource that we have in Azure and what you can do with app services you can basically launch or deploy websites now you would be wondering that in function app also I can just give my code and probably I can give my website code and deploy the website for me know your function I can only give outputs based on the inputs it cannot deploy a web application for you if you want to deploy a web application you'd have to use app service in app service you would find a resource called web app we'll have to deploy that and on that you will basically get again a dashwood since it's a platform SSO which you will again get a dashboard where you will be able to upload your website files and once you do that once the process is finished you will basically get a link and if you click on that link you can see your website right so again we did not get access to the operating system we do not have control on what softwares are installed the basic way the app service works is or in our case with since we are discussing board websites our web app works is it will ask you what kind of code is your website written in let's say my website is written in node.js so I'll just say I'll just select no js' and I'll click on next and the next question will ask is do you want to auto scale when the CPU increases or when the memory is low do you wanna also Oracle you will say yes I'm gonna scale you click on next and it does everything for you and that what at the end what it get is again a web UI on which you will have a button called upload on which you just have to upload your website and everything would be set for you right there is also an option to just directly mention the github link it will pull the code from github and deploy whatever code was there on github but the key word here is it deploys application for you in function app so this is a very tricky thing that what is the difference between function app and a web app so function app only does the backend tasks for you you give it code it had taken input it will give you the output that's it it is not used to deploy an application app service on the other hand it is only used to deploy an application okay so this is the main difference between a function app and an app service a next service is probably the very important service when you're working in a containerization environment so I'm sure most of you know outward talker is if you don't know just type on YouTube docker tutorial by Intel apart go through that video and you would be able to understand you know what docker is so docker is nothing but a containerization platform on which you can deploy application so we were talking about distributed computing right so containers are nothing but they act as separate virtual entities which are isolated from each other so I can launch an ubuntu container I can launch a center waste container I can launch different flavor of Linux container as well right in them I can install any software I want then exactly whatever code files I want I can put on those containers and these containers can then interact and may make a distributed application kind of a scenario right now what Kuban it is is it manages these containers for you it's an automatic service which manages these containers what what does it manage let's say you know I deploy three containers one is my website container one is my back in container and one is that database container now for some reason my back in container is not working okay it stops working now what will happen what should ideally happen ideally my if my back-end server stops working I need to get an alert I will go there I will see what the problem is I will fix it and then my back in container or back in server will again be ready and my application would serve normal but what happens is you cannot monitor application 24 by 7 so what Kuban ities does for you is it does all the manual tasks for you so it automatically detects that a fault has occurred in a particular container and what it does is it deletes that container and launches a new copy of it automatically right and this is just one of the tasks that Kuban ities does automatically for you you can also configure communities to scale your containers for you or descale your containers for you and it can do a host of other things and we would disperse it probably when we move along and we just when we just are focusing on Azure communities for servers we can actually talk more about it because there are loads of feature in it but this is a a very important service so most of the startup companies not not MNCs but most of the startup companies have now adopted the container architecture or have now made their code in to fit into containers and now they are using the community service if I were to give you a little background of the humility service the Kuban ID service was actually developed by the Google company later they made it open-source and now it's available to the world anybody can use it or download for free and can actually install it on their system right but when you install it on your system you actually have to manage Kuban it all by yourself so what does your does is it has created platform as a service again and it says I will handle the Cuban ities installation I will handle the Cuban IDs configuration you just tell me what you want and I will deploy that in a Cuban ities cluster for you right so all the advantages of Cuban ities you get and you also don't have to deal with Cuban at ease so this is the power of cloud this is what Azure is giving you as a service right and this is what as your Cuban 80 service was all about all right guys so now let's get down to the interesting part let's now start off with a hands-on where you will get an taste of how as basically as your portal looks like and also how things work out how you deploy resources on Azure and basically in the most essence we learned about what a VM is so we're going to see how we can actually launch a VM inside Microsoft Azure alright so just give me a minute I'll just switch on to my portal and then we will start on with the demo now before moving over there guys these are the three things that we're gonna do so when we were learning the architecture I told you guys that basically all the resources that are deployed on an azure can be managed or they can be grouped together using resource groups so the first thing that we're gonna do is we're gonna create a resource group which will have the name demo environment okay then what we're gonna do is in this demo environment basically we are going to launch a virtual machine which will have a Linux operating system on it now once it is deployed we will to connect to this virtual machine using the putty tool that is available for doing SSH on Linux so basically when you whenever you're installing or whenever you're launching a Linux Linux instance a way to connect to a Linux instance is using SSH right because it's a command line operating system and all everything in anything that you want to do on this operating system you can do it on the command line on the contrary if you deployed a Windows machine in that case you have to use the remote desktop protocol so it's basically called RDP and there's a software for that which can basically connect using RDP so that is in built-in Windows so if you are on a Windows machine just type on type remote desktop right and you'll get that application the only thing it'll ask is the IP address click on connect and then we'll ask for the password all right guys so without wasting any more time let's go ahead switch to my Azure portal and let's see how it looks like right so guys this is my zero portal so let me just go to home and let me show you how it actually looks like so this is how your portal looks like guys this is the web's UI that we were talking about now there are some resources that are already launched in my Microsoft Azure right so as you can see I have named my resources something like this but let's say I am going to deploy a Linux VM run right that latex VM is only for demo purposes now this will actually give you a take as to how you can or how these source groups basically can help you guys now if I go to all resources right now you can see these are all the resources which are deployed on Azure right now but I do not know which resource is doing what or which resources contributing to what application on the contrary if I go to resource groups you can see that there is a group which is called Intel apart which exists on my Microsoft Azure portal and if I go inside this resource group I would be able to see all the resources which have been deployed so now what I'm going to do is because what I am doing right now is just for demo purpose so what I'm going to do I'm gonna add a resource group so let me just click on add and let us create a resource group by the name demo environment so I will type in demo - env right and let's say the region that we have to choose always choose a region guys which is nearer to you so what do you mean by region so region basically means now Microsoft Azure is so huge that it has deployed or it has set up its data centers in different countries the reason they have done so is because let's say you have your application and you have a start-up and you have actually started it up in let's say India right and your application is actually only accessed by the Indian audience right so that's whom you cater to so what you can do is rather than deploying so it makes more sense to deploy your application or your website on in a region which is nearer to your audience because in that case it's the internet route it'll be far lesser when you compare it with launching your application in some other country for example let's say we launched this resource of a create this resource group in let's say us right but my target audience is basically in India now what is gonna happen now when my target orders audience is in India and let's say I'm going to the Intel epic on website that is my application every time the data is being fetched from the US and it is being transferred to the Indian servers and then from your ISP you are getting the data on your system now if we were to make or if you were to deploy our application in India itself what will happen is that the distance that the data has to be covered eatable covered will be less and that will significantly increase your response time of the website right so that is why choosing a region is very important you can choose any region you want but I would suggest you choose a region which is more nearer to you right so in our case let's scroll down and see if we have any region which are nearer to me so I can see that we have a region in India is called South India so let us select that right all right so now the that my resource is getting deployed is in South India right so that's what I have selected the name that I have given is demo environment and now let's go ahead and click on review plus right so this is what is gonna happen the subscription is going to be pay-as-you-go if you are on the free tier you will see if retail the resource group this is the name that I have given and the region on which this is being deployed is South India let's click on create so now my resource group is being created right and if I do a little refresh over here I can see that my demo environment resource group is present here now what I want to do the next step that I have to do let me just go back to my slides is to deploy a Linux VM in this demo environment resource group so let's do that let us come back to our job portal and now what we want to do is we want to deploy a virtual machine so you will see on the left hand side that there is a service called watch of machines let's select that and now what I have to do is I have to click on add right so because I want to create a virtual machine so I click on and now it will ask you which resource group do you want to make this server available in so I want to basically make it available in demo environment so this is what I have selected what do I want my virtual machine machine name to be let's say I wanna know what's a machine name to be new VM - Linux okay this is what the name is the region I wanted to be nearer to me so I select South in there right availability ions options if you go ahead and choose it you will have an option between availability set or no infrastructure redundancy required so what is redundancy redundancy basically means do you want a copy of your server somewhere else as well so that let's say in the data center where this server is going to be deployed that datacenter goes down right or something happens in the data gets corrupted so if you choose that you know you want to replicate your server what will happen is even if there is a downtime in a particular data center in which your VM was deployed your redundant server will come to power and that is from where you will get your data so basically it increases the availability of your application and even if there is a problem from the other side your application will not go down but since we are doing a demo what we will select is no infrastructure redundancy required what is the image that you want so by image we mean the operating system which was what kind of operating system do you want to connect to right so you have all these operating systems over here I can actually launch the windows 10 pro I can launch a Windows Server I can draw on Ubuntu 69 launch the Bay 9 Santo is Susie Linux RedHat Ubuntu server right so for our sake let's consider over to server is what we want to deploy and now it will ask me what is the size of the machine that I wanna give right so what I can do is you can actually change the size so by default it will say you should deploy a to CPU and ia GB machine you can just click on change size and you will have all these options available to you right so you can see that because what we are doing going to do is a demo so what you can see over here is 0.5 GB RAM and a 1 CPU will basically cost me around 383 to Pease per month right so let us go ahead and try to deploy this machine right so this makes more sense because we are only doing a time and probably deleted after this session right so I've selected this and I click on select now so you can see it's 1 V CPU and point 5 GB memory great next thing it is asking me is what is the authentication type that you want to give on this particular machine you can either choose the SSH public key or what you can choose is password right so if you want to choose SSH public key what you'll have to do is you'll have to generate SSH public key right if you choose password what it will ask us the username and the password if you and this is basically the most standard way of doing it but if you want to give security to your instance the suggested method would be to create a public key now how can you create a pub there is a software called put ijen right and the way you can download it is just type on Google put the download right and then you will get a link from put T dot org just click on that and you can say you will see this link which says download putty just click over here right now you will get all the versions on which you can basic using which you can basically installed putty now what we're basically looking for is put each n right so you will find it over here based on your CPU architecture you can basically select put each n and then you can download once put each n is downloaded it will look something like this so as you can see it's putting each and the later what I want to do is I want to generate a public private key so let's click on generate now what will Alaska is you'll have to hover your mouse here for some randomness and it will create a key based on that so let's hover our mouse in this region and now it has created the key for me now it says the public key for pasting into OpenSSH authorized if I so this is the public key basically right and you will have to copy this let's copy it right so this is my public key now let's come back to my portal so I can just choose SSS public key and I can paste the public key over here and this is how it works now if your key is verified what you will get is a tick mark over here which basically means that a key has been verified and now you can go ahead right so my key is now verified what that is the next step that I'll have to do the next step that I have to do is I'll have to save the private key okay so this is the public key which has been generated what I have to do is I have to save the private key which I'll be using to connect to my instance so in this case you basically do not have to use you know any password if you have this particular file which will basically be saved once I click on yes let's say I save it on the desktop or let me actually save it somewhere else let me save it in the C Drive and let me actually create let's say in the app folder I'm just creating this private key file in its name it has as your - key okay and now I'll click on save so my PPK has now been saved if I want go there I can just go to C I'll go to app and I can see that as your - key PPK is now present over here great so this is done now I have to specify the username so let's specify the username as Azure you can specify any username that you want right so we are specified it has sure now the next thing that it is asking is do you want any inbound ports to be enabled on this particular instance now we will be connecting to this instance from our machine right and the protocol that we'll be using is sss so we'll have to open the SSH port so we'll have to click on allow selected ports and what port do I want to allow I want to allow SSH port okay let's select HTTP also why I'll tell you that in a few moments once you have the Linux machine up and running right in case this was a Windows machine I will also have to enable the RDP port which you can just take over here in my case I don't need the RDP port I just need SSH and I need HTTP do they use for it I'll tell you as we move along all right so I won't SSH an HTTP to be enabled and what I can now do is I can just click on review plus create and now it should basically just show me all the configuration for my VM which is going by default try it I can just review it and that will be it right now I will show you where is something very interesting over here let's um once this loading is complete so as you know cloud computing it doesn't charge you per month but basically the pricing model is a per our kind of a thing right so as you can see the machine that I'm launching right now is right now 50 paise upper this is the rate or this is basically the pricing of my machine that I'm gonna launch so that's awesome right the next thing is the OS which is being launched as Ubuntu server 18.04 that is also great and if you want you can actually look at the username which is a bun to the soy as your what are the public inbound puts it's SSH and HTTP though this type is SSD is it a managed this yes the network it's basically creating a new network for me which is which goes by the same resource group name which is demo - env so what is what happen is guys when I launched this particular VM a lot of things will be created it will create disks it will create networks and everything related to it will actually go inside that particular resource group right so I will show you how to do that just click on create once you feel everything is right and now my machine is basically getting created ok so let's wait for a few while if it will take like a minute or so to deploy a machine so let's wait for that time and let's hope this deploys soon so as you can see it says your deployment is underway once it's complete you will see a different message over here so let's wait for that message to appear alright guys so my deployment is completely as you can see the message is being told over here so the next thing that I'm gonna do is I'm gonna go to resource groups and now I can see that I have something called as demo - env I'll go inside that and over here I have all the related resources to my VM ok so guys as you can see my virtual machine is this particular resource so let me go inside that and now what I have to do is I'll have to select this IP address this is the IP address on which the instance is available so let's copy this IP address and now let's open the put T tool now what is the potato we used put ijen before to create the key now for connecting to the instance you will have to use the putty tool now how do you download the putty tool again back to your tab where you opened the download web page now over here you will have to select put T dot exe it says the SSH and telnet client itself you'll have to download this according to your architecture and then you will have a tool which looks something like this now what I want to do is I want to connect to this IP address which I've just copied from the azure portal and I will have to go inside SSH and I'll have to coincide auth and now I will have to select the PPK which will basically be used to connect to my machine which is as your - key let's click on open and now everything is ready guys so I have selected the PPK I have inserted the IP address and now let's click on open so it will ask so whenever you connect to a new IP address it will give you this morning don't worry about it just click on yes and now it is asking what do you want to login and so remember the username that we gave was assured so let's select that and hit enter and that's it that's about it guys so now you're inside your Linux machine which is the Ubuntu machine and now you can do anything with it as you feel necessary right now you will ask me one thing that you know we deployed we allowed HTTP connection why did I do that just to show you show you one very awesome thing now since this is a bun to the commands that I'll be entering now is basically for Ubuntu and if you want to copy these commands you will also have to install or you will have to launch Ubuntu OS right so what I'm going to do is I'm gonna make this server as a web server so in order to do that I'll pass on the commands sudo apt-get so let's update this machine first sudo apt-get update and this will now update the machine all right so my machine is now updated now let's go ahead and install Apache so sudo apt-get install Apache to so guys what is the pachi Apache is basically a software for web server and what is right now happening is it is being installed on my open two machine once it gets installed on I want to machine all I have to go do is I'll have to go to the IP address of my VM instance and then I will be able to see a web page over there right so it's almost complete guys so let's wait for this to complete and then we move forward all right so my apaches has now been successfully installed and now if I go back to my machine or my portal manager pool I just copy this IP address and now let's paste it in a new tab and hit enter can you see you this is basically a website which has been created by Apache 2 it's basically a default page but you see when you have installed a patch a - but nevertheless guys if you guys go to this IP address given that I would not shut off this machine you will be also able to see this particular page which is basically the Apache a to Ubuntu default page now what I can do is I can also go ahead and edit this web page right so let's go ahead and go to the location where this web page is basically stored so it's stored inside where www.h tml and this is the index dot HTML file which is being shown over here so what I'll do is I'll just change the name of this index.html file to let's say 1 dot HTML file and I'll have to give sudo in order to do that and now let's create one more index dot HTML and let's say this is the HTML page whose title would be demo website right and the body of this would basically have a heading which would go like welcome to intelidox as your okay so this is what I specified I closed the headers and I closed the body and I closed the HTML as well okay so I've closed the HTML I've closed the body I've given the h1 I've given the title as demo website let's save it and if anyone LS now I can see that there is an index.html present now if I do a refresh you can see I'm getting this welcome to and telepaths as your training and the title of my page is demo website right now you would have also noticed I made the Apache page as one dot HTML so if I go to one dot HTML this is the Ubuntu default page and if I simply go on the IP address it will open in extra HTML which is basically this so guys we have successfully deployed our Linux VM on Azure and you're successfully hosted a website also on this particular so now guys remember that this is infrastructure-as-a-service now what I've done is I had the access to the operating system I basically installed Apache 2 and then I put a website over there in that particular folder which is Val www.h tml and then I caught the website right so this is infrastructure as a service you're getting the whole operating system and you can do anything with it I can also install MySQL on it and I can configure my website to basically talk to the MySQL server right I can do anything with this so now when you compare it with app services which we saw earlier that app services are basically platform as a service or function as its functions app is also a platform as a service now how is it different from the hands-on point of view you will basically not be using putty you will basically just deploy that app that is the web app and you will get a URL instead of an IP address you will get a URL and if you go to that URL you will see a default page so let's let's say you saw a default page when we install apache2 you will see a default page from Azure when you go to that link that this is a default page for the web app that deployed right and you if you find the dashboard you will see a button called upload and what you can do is like I created this index or an HTML file you can also create yours and you just have to upload it now as your will take care where that file has to go inside the file system right and it will take care that on the link when you go now you will see your website it will take care whether what software is it has to install whether it wants to install apache2 which is basically the web server or there are several other web servers as well you have nginx you have you know Tomcat so anything that you want or anything which is configured in result would be automatically installed and all you will get is a button which is ask you to upload the website so you would not get direct access to the operating system and hence it is called platform-as-a-service similarly with functions are in app services basically if in deploy applications in function up you cannot deploy application it is simply a place very quick just put your code and that code will be done right so if if in short I'll have to tell you what functions happens it basically does processing ok guys so guys this was our demo this was the first demo as to how the you can launch virtual machines on Azure now let's go ahead to our next topic alright guys so next in our list are the networking services of azure so let's go ahead and start with them so guys basically there are five core services in networking that you should know of the first one being the very important one which is virtual networks now what a virtual networks what your networks are basically isolated environments or isolated networks on the azure infrastructure for whatever machines or whatever the VM steady launch in Azure and if you want them to talk to each other for example I deployed an application where probably able to have a database I would have a back-end server I would have a front-end server now all these servers have to interact with each other so that the whole application can basically function now how can they interact with each other they can interact with each other only when they are on one network right so that is very important otherwise they will have to interact with each other other over the internet but that is not a secure thing to do right it is a cure thing to do is when instances or when servers interact on their own private network which is basically not accessible to the outside world it is only accessible to the administrator who has probably launched those instances so in those cases we need virtual networks and also one more thing that many are using virtual networks or if you are using private networks in a jar you basically get a bandwidth of around 1 GB per second right that is the kind of bandwidth that you get when you are dealing with instances which are in the same network that is in the same virtual network but if instances have to interact over the Internet obviously the bandwidth will go down and at the same time it is not secure right so whenever you want to launch any resource in Azure which basically can be launched inside a network they are launched inside a virtual network and you do not have the option of launching a instance or a server without a virtual network you have to launch it inside a virtual network now that if you don't want to use it and want to have instances talk over the internet that is your choice but as your does not give you an option of deploying an instance without it being a part of a virtual networks alright so this this is a virtual network moving forward now let's talk about load balancers now what are load balancers now this is a very important service reason being when you deploy your application on cloud one of the most popular reasons of deploying applications on Azure is because you can get high availability which basically means you can launch your application on multiple servers so that even if one server fails the other server can basically be their replica and they can serve the application right so this results in a high availability of your application now what is a load balancer a load balancer basically sits in front of multiple virtual machines which has the same application running on them right and it sits in front of it now obviously if you are a customer you do not realize whether a application has been made redundant on multiple servers right facebook.com/ but if you go to Intel about comm you wouldn't realize how many servers are actually working in the backend so how is it possible right you have to know basically servers they have IP addresses right so you as a customer should know which IP address you should ping but all you do is you go to a particular domain let's say Intel about comm and you get the website so how is it actually working so basically the way it works is that load balancer has its own IP address or domain name and what the load balancer does is it basically randomly spreads the request out to the n number of servers it has let's say my intellibid website resides on five servers wherein one is the primary server and for other redundant servers but all these five servers are basically serving my website now when a customer comes on to Intel upon his request is processed in this fashion the bet that whenever he comes in telepods com basically he is routed to the load balancers domain name or IP address and once a request reaches the load balancer the load balancer sees what which server basically has less load right and the server which has less load it sends the request to it all right now your parents will is also an important concept you must have heard about auto scaling right or if we talk it in terms of Azure it's basically called VM scale sets so what happens in that particular scenario is we specify a threshold limit we specify that whenever the CPU usage goes beyond 80% of the aggregate number of server let's say there are four servers and the average CPU load on all these four servers has gone beyond 80 percent right so what happens in that case it will basically launch a new instance now when it launches a new server with the same application your load balancer should also trout traffic to it and that is when load balancer plays a key role it plays a key role when you are doing auto scaling and at the same time it plays a key role when you have multiple servers which are basically serving the same application and you want to equally divide the coming onto your servers or basically coming onto your balancer on your servers right so this is what a load balancer is as the name suggests right but the load balancer in its most basic sense it it basically does it randomly right it would randomly equally distributes the traffic among all the servers it does not find follow any protocol a rule as in how it has to basically divide the traffic right so this kind of process or this kind of procedure when it is followed it is basically called a round robin fashion of distributing traffic right the next kind of load balancer is the application gateway load balancer now what does the application gateway load balancer the application gateway load balancer basically works a little different from the normal load balancer that we discussed earlier so in the application gateway load balancer basically the load is distributed based on rules now what are those rules those rules are basically paths now for example if I go to in telepods comm slash blog right what will happen I get to see the blogging website and if I go to in telepods comm slash all courses I basically see all the courses which are there on the website now how does that work now you if you are from an IT background and if you understand how servers work you might say that there must be two folders inside the root document of the web of the server wherein inside the all course folder you have the code for displaying all the courses and inside the blog folder you have the code for showing all the blocks but that is not actually how it works right so basically if you if I were to talk about our infrastructure the intel parts infrastructure we have a separate server for blogs and we have a separate server for all the courses that we have right now the load balancer that we use is an application gateway load balancer it's kind of like that so basically what happens is whenever it sees that in the URL is a path which says slash blog it basically routes the traffic onto the blogging server and whenever it sees that the path is slash all forces it routes the traffic to my courses server so this is how look this is what path based routing and basically it works on the layer seven so if you guys are aware of the OSI model right so according to the OSI model the application gets a load balancer works on layer seven right now if you are not from CS power and I think and if you didn't understand what what I just said it is okay so in the most basic sense what the applications say the layer seven that it works on in the most basic sense what that means is that application get with load balancer does path based routing right whatever path is there in the request based on that path it basically routes the request to a particular server you can also define a default rule in case anything which is there except slash blog and slash all courses if there is a default server that you want to send your request to that is also possible like for example you would have seen that some websites if the link is not found on that website they basically route to a 4:04 page right now how does the typical 4:05 for page look like right if you look a 404 page it basically says error for zero for content not found right but some websites like if you if you would have visit flipkart.com or amazon.com or even in telepods dot-com in that case if you try to search for something which is not there on the blog for example let me just switch to my browser right and let us go to let's say and telepods calm and let's say slash as your right now what will happen it'll basically give me a 404 page and let's see how that looks like okay so there is a slash is your thing let me do one thing let me type in some gibberish content then let me just search for that so this should give me a 404 all right so you can see I've got an oops page which says we were unable to find the page you are looking for and if I change the content also over your like let's say we enter some random text again I will again see this page can you see it says page not found and similarly the way it happens for other website Israel for example if I go to amazon.com thing gibberish let's see what happens it says four zero four document not found and this is a basically a custom page right and if I again go to anything other any other gibberish UI I again get this page the heart is how's that working so that is working because they also have using an application load balancer which basically says anything other than the rules that we have specified if someone goes or tries to go to a particular URL like the one that we have specified route them to the four zero four page which is this right and that's how the application load balancer is bringing you to this particular 404 page right so guys this is the application gateway the next service that we have in networking is called the DNS rooms now what is DNS zone now any website that we go to guys you do not enter the IP address for that website right you basically enter a domain name and that domain name basically gets you to the website right you never enter the IP address so similar is the case with DNS zones as well so what DNS zones helps you in is basically it helps you to route your domain to the azure resource where your application basically resides for example you go to any domain website and you buy a domain let's say you buy a domain which is a personal website dot XY said let's say you buy this domain now you want to route what whoever is going to this domain you want to route their traffic to one of the virtual machines that you have launched near as your portal now how would you do that for doing that you will have to go inside the DNS zones service officer and you basically will get some name servers right those name servers are basically DNS servers that as your owns and those DNS servers you would have to specify in your domain so very bought your domain you would basically add a dashboard wherein you can put theirs DNS servers which the domain that you have bought will ping on right for example whoever will be going to person web site dot XY said would basically be routed to those DNS servers that you will be mentioning over there right and those DNS servers you get from DNS zones the next thing that you do is you specify in the DNS zones that whatever traffic is coming from the domain that are that that basically has specified route them to this particular VM instance I'll have to specify that in DNS own service and that is how it will work so whenever you need use or whenever you have a use case like you have the domain with you or even if you want to buy a domain you can actually buy the domain at the is your dashboard as well but let's say you have the domain itself right and you want to point it to any as your resource which is existing in your dashboard so the way to do that is going inside DNS one write a next service guys is again a very important service which is called CDN now what a CDN CDN basically means content delivery network now how does that work what is a content delivery network a content delivery network basically it basically improves the time taken to basically serve you a website for example if you go to amazon.com or if you go to facebook.com let's say do you happen to see the speed with which the website loads if you have a good internet connection it grows very fast right now where do you think the way Facebook website is actually hosted right now what happens is now Facebook is a multinational corporation right it's a it's a big website which is athletes being used by the whole world right so they have different data centers I cross the globe from where the requests are basically served but let's talk about a smaller scale website let's let's talk about in Telecom right we don't serve the whole world we basically might have around 400 to 500 people at a particular time on our website right now what happens is we get traffic from across the globe right we want everyone to have a speedy experience when it comes to them using our website right now what is what are the ways that I can ensure that let's say my traffic is coming from us right the traffic that comes from us is like let's say 60% of my overall traffic so what I can do is I can set up my data center in the US so that the US people will actually get the website fast right but let's say someone is accessing the website from Japan so in that case what you will have to do is whenever you goes through in telecom the request will basically be sent to the US servers and from the US servers the request will come back and that's when his website will start to load right so this basically increases latency latency is basically response time of a particular application in our case it's a website in telecom now if you want to reduce latency what are the different ways to do that the different ways to do that is the first way that you can do it you can basically open the data center in Japan as well and load all your scale up the number of servers that you have and then also put your website over there and whenever people from Japan will basically be accessing your website they should be seeing the Japanese version of the website and the people in the US they should be seeing the US version of the website the people in India using the Indian version of the website right that's how it works when you use an e-commerce website like Amazon so you have Amazon or ten you have amazon.com if for Australian people it's Amazon dot type so for different people countries it has the different extension which basically means that that particular website is being served from their home countries data center right but there is another way to basically serve your website faster and that way is basically called CDN now what I see the end Sirian basically caches all your state a static data right for example what kind of static data are we talking about let's talk about videos let's say my intellibid website also plays videos in the self-paced courses now if you are a person who is in Japan and let's say my servers are there in the US so what will happen is the moment you try to play a video on my website then video will get downloaded to the nearest location often as your data center right so while you watching that video that video has been downloaded on the data center of the Azad premises in Japan and what happens in later is basically whenever any other person in Japan would try to exit that website he will get access to it through the Japan server rather than the USO so what I have done is you have set up your servers in u.s. you have not set up your servers in Japan but what I have done is you have basically enabled CDN on your website and what happens in that case is all the static content is basically loaded on to edge servers of azure so whatever servers are used to cache data cache static data in the CDN services are called the edge servers right so whoever is accessing my website from whatever part of the world if they have as your datacenter near them my content will basically automatically get downloaded over there and whenever there is a next person who is trying to access it that already downloaded data will be served to him directly and that's how I reduce the latency of my application without setting up servers in different locations for different kind of traffic that I get right so this is how it drastically reduces costs because I'm not launching new servers and at the same time it serves the purpose of reducing your latency of your application so this is what CDM profiles is gied so then these were the core services in networking of jihad right now let's move forward and talk about a next set of services which are basically the storage services all right so guys next in a list we have the storage services of azure so let's go ahead and have a look at them so guys essentially there are six services that you should know of while you are using Azure in terms of storage the six services are blog file storage tables queues derelict storage and data box so let's discuss them one by one the first one being blog now what is blog blobbs it basically means binary large objects right so if you have binary files and you want to store them on as your blob storage is the answer for you right so it can store anything from music files or it can store video files it can also store text documents any kind of file that you want to store on Azure can be stored on blog now blob also can be used with your in conjunction with your websites and it can basically act as a storage server for you right it also enables you to host content which is publicly accessible over a link it can also host static websites on its storage so that is what blob is guys right so most of the time you would see that companies if they have a website all its static content is actually picked up from the blog right so this was about the blob guys our next service is file storage now what is file storage file storage is basically a shared file storage that can be used with multiple computers that basically means if I have five servers right and let's say they need a particular file for their working and all these five servers basically need the same file so what I can do is I can basically create a drive or I can create a storage point on file storage and all all these file servers can be used or can be used to basically mount the file storage drive on them right and any change that is done from one server on the central repository of file storage would all those changes would be reflected on all the next four servers the use that I can think of for file storage is let's say you have an application which writes data onto a particular file right and basically this application of yours is spread across multiple servers to ensure it is highly available right let's say you have an application which basically writes data right and this application is cos Phi servers now what happens is you we've already discussed the role of a load balancer you hit the load balancer and you're randomly assigned a server and you work on it let's say you work on server one as a customer you would not know bit server you're working on correct let's say you work on server one right you saved your changes and now those files are now saved on server one but the next time you hit the URL now you are unser three if you are on server three you would not realize it but your work you would expect it to be there on server three as well now here comes a problem if there is no central storage for all these files servers they will be asynchronous in nature in the sense that they will not sync data with each other whatever changes are done on the first server the third server the fourth server and the fifth server will be unaware of it right and that is when the arise the need of a central storage and that is what file storage is for right you can it basically uses the SMB protocol SMB so basically SMB 2.1 and 3.0 is compatible with file storage and recently even Linux platforms like Ubuntu sent to us in even Mac OS have started supporting SMB right so it essentially would recommend you to use SMB 3.0 but there are some OS versions which could have a SMB 2.1 for example if you are using ubuntu 16 or a12 14 point o4 they are basically using SME 2.1 right so it has the backward compatibility as well for older OS like 1 to 14 0.04 so if you wanna mount drive on Ubuntu which basically is hosted on as your file storage you can do that using the SMB protocol there are lists of software that have to be installed more on that we can discuss when we study file storage in detail but for now because we are in a tutorial session we are basically I just told you what file so it is useful so if you want to ask or if you want to think of a use case where you need a central storage kind of a thing now you know that you have to use as your file storage moving on guys our next service is as your table now as your table is basically a no sequel data store right and it can help you to store structured data aright it it basically can store structured data it has table tabular columns and table rows in which you can save data but it is no sequel in nature which means the data does not have to be in symmetry right your next data could have eight columns the third the third row could have two columns the fourth row could have just five columns it could take any kind of data but the only condition is that the data should be structured among columns right so if there is any kind of need for story the data of this kind you can use as your table and next a storage is as your queues which basically is used with stateless systems right systems which do not know of what all jobs are executing on the counter part or on the replicated servers of their application for example let's say there is an image processing website and what it does is the moment you upload an image you can process the website or sorry process the image according to your need right so what happens in this case let's say there are 200 people on the website and they have all pressed the process image button together and what will happen there are 200 images that have to be processed and obviously not all 200 images can be processed at the same time so what happens is the images are processed one by one and let's say the in the backend server where the processing is done there are five servers who are doing the processing okay now all these five servers they pick up your image at random from the queue so let's say the queue is first in first out whichever image comes first goes out first as well so whenever the job of the first server is done let's say it was doing the processing on an image and the image processing is done it picks up another image from the queue the second server will also do the same the third shovel would also do the same right so what happens is let's say the first server it processed image more now the second third fourth and fifth server would not know whether the first image has been processed or not and they can process it again so for those kind of scenarios and for solving those kind of situations we had cues which basically streamline all the content which has to be processed and whichever content is taken up by a particular server it deletes it from the stack and then puts the second image or the second object which basically has to be processed right so for these kind of scenarios you use as your cues an external service is data like storage now data like storage is similar to that of a blob not a blog but tables as your tables so data like storage can store data but it basically used to store data for big data analytics it specializes in that particular cool segment so if you have a big data analytic use case and you want to store data for that data like storage is should be the choice for you right so this is about the lake storage lies the next service that we have is as your data box now what does your data box now you might think of your company let's say let's say you're working for a company and you have all the servers on from ice right you have been working since 15 20 years in the sector that you are I'm in your company and you did not have cloud at that time and what I have done is your body our own servers you have hosted your own applications but now the cost incurred for those servers is too high when you compare it with the cost which is there in cloud computing when you opt for cloud computing so now what what I have decided is basically that you want to migrate all your applications to Azure data box ok or sorry to Azure so let's say there are five Pete there's five petabytes or let's say thousand terabytes of data that you have to transfer on Azure now in businesses time is very important guys time is money basically you must have heard of that phrase so everything is required at a fast pace and if you want transfer a thousand terabytes of data imagine the data transfer which would incur to you and also it would take a lot of time to upload thousand terabytes of data wire Internet to Azure right you would agree on that now to solve problems of this scale when you have a large amount of data that you want to transfer onto as your cloud what has ever does is it basically gives you a physical device on which you can load your data right so as already the box is a service in which you can you can basically request a box kind of a system from Azure which basically ships through your company you can load all your data onto it and then that box is again shipped back to Azure cloud and all your data is again uploaded to Azure cloud from their data center directly right so this not only reduces the time taken to transfer data but it also hugely reduces the cost that you would incur in the internet charges because thousand terabytes is not less data is now thousands otherwise is very less when I talk about a company which is existing since 15 years and when you talk about multi national corporations the data can be in petabytes right and if you have a petabyte scale data that you want to transfer to Azure it would take weeks if not months to transfer that kind of data so then that is where data box comes in then data backs a data box as your data box can basically support around five petabytes of data at one time right now if five petabytes of data is less for you you can make request multiple boxes from Azure to and multiple boxes will reach your location you store your data onto it I mean you copy your data onto it and then request your back that you can take over your data boxes and they will take the data boxes back to their data centers and transfer their data directly right this will then use your time to around one week of time so your data of petabyte scale can be transferred to Azure in less than a week and at the same time you would also save on huge internet costs right so this is what the data box service of azure is alright guys so now let's go and do this hands-on on Azure blob storage so let me quickly switch onto my Microsoft Azure portal which is this alright guys so this is my Microsoft Azure portal what I want to do is I want to show you guys how the blob storage works in Azure right so the first thing that I'm gonna do is I'm going to go into storage accounts and over here you will find that there is a storage account called demo environment why is it here because I created virtual machine with the name demo environment right and obviously the virtual machine requires some storage if you go inside this you will see that you have the four options that we discuss that a blob files tables and queues what we are interested in is blob so we'll just click on that and you can see that this has boot Diagnostics for the new VM Linux that we launched earlier right so all the logs for that VM are basically going inside this container so basically if I go inside this container you can find that these are the two text files which are present we'll basically we'll have the log data of that VM that we launched right so but we're not here for that what we basically want to do is I'm gonna show you that is how you can use blog now no matter what you are working on if you want to create a blob so it's for yourself you will have to create a storage account right in our case this was the VM storage account if you are starting afresh on Azure you will not have any storage accounts over here right so let's create a so account first LAN let's try to name it something relevant which might go with the demo that we are doing so the resource group that we want to add it in his demo environment and the storage account name that we more give is let's say in telepath - Chris your let's say this is the one that we want to give okay where is the location that we want this toy is account to be in as discussed earlier we'll choose a nearest location to us so in that case the nearest location would be asia-pacific South India let's try to choose this location right now how do you want the Poppins it could be just under the premium we can discuss this later probably when we'll discuss this service in detail now for the sessions but for now let's let it be head standard right put everything a default and now let's click on review plus create when you do that it will ask you all the basically show you all the information with respect to the storage account that we are creating if everything looks good just click on create once you have clicked on create guys your store account will take some time and then it will become ready for use and like earlier I specified all you have to do is go to resource groups let's say this is the demo environment that we created earlier I'll go inside this and now I can see all the things that I had launched a present over here even these stories account that I'm creating that is that is basically being launched right now I can see that also over here as you can see it's in telepods as your this is so is the con that I created and now it is visible inside demo environment resource group on the other hand if I go to all resources I'd be able to see all the resources that are there as your account but this looks a little messy and that's why resource group Cyprian focus because I know that my resource that I've deployed is sits inside a specific resource group and that is also basically I can name on the basis of what tasks that particular particular resource is going to do since hours of the demo session what we have done is all the resources that we are basically deploying are inside the demo environment resource group right and right now we just deploy this tools account which is in telepods azure and as you can see it has been successfully deployed now let's go inside the storage account and like we saw earlier you see a similar user interface over here you have four options either to go inside blob or to go inside files or tables or queues let me demonstrate to you how plops works so we'll go inside blob skies and as you can see there are no containers over here water jános containers are nothing but root folders right for example on Windows you have the dekstop folder so dextra folder becomes the root folder or to give you a better example let's say I go to the C Drive of your computer write whatever is inside the C Drive is the root of the drive if you create a folder inside that drive and it then put files inside that folder that is no longer the root directory right so in whenever you are uploading files on blobs the first thing that you need is a root directory and that prove directory is nothing but containers right so let's go ahead and create a container so I click on a new container and let's name this continue let's say as Intel apart ok and now let's click on OK alright so my new container is now ready now you would have noticed that there is something called as access level and right now the access level is private more on this I'll explain to you as we move along so right now we have not changed it to anything it's private and I will be at private now what I'll do is I'll go inside this container and it says no blobs formed right so what I can do is I can upload some files onto this container and for doing that I'll have to click on upload and now I'll have to select the file so let's so these are some images that I have on this system so what I'll do is I will just select a random image and now let's upload this image onto my flow alright so this image is now uploaded on the blob and what I can do is I can just click on this image and I can see all the information with respect to it it's in it's 88 KB in size this is the last modified time this is the creation time now here is something interesting guys I have the URL to the file that I uploaded right now this URL can be embedded anywhere it can be embedded on a website it can be embedded on a post 30 making to social media this basically is a file which is now hosted on the and anywhere anyone who has access to this particular link would be able to see the image that you have just upload awesome isn't it right so what I'm gonna do is let me copy this link and let me open it in a new tab right and I'll hit enter so right now it says resource not found this specified resource does not exist now why do you think this happened this happened because we did not give access to the container for general public use right what do what does that mean if I click on the container and I click on change access level it's right now private which means I can only access this blob through the azure portal all through you know CLI or through some other way but only that way would be working now if I want everyone and anywhere who wants to access this file I'll have to go ahead and choose anonymous read access for blobs only right so when I do that I just select a blob over here and I click on ok now the permissions for the files inside this container has changed and what does that mean that basically means if i refresh this now I would be able to see this image over here right similarly if this link is copied by you and pasted on a browser you also would be able to see this particular image right so guys this is what a blob storage is you can use blob storage to dump data such as logs such as images such as videos that could be either private if your application does not want to use it and you just want to keep there keep it there for you know just keeping it there or what you can do is you can provide it a public read access on the blob level that is for all the files will have public read access and those files will then be able to use by just going to their link let me upload one more file free ways so that you are clear the concept of defining permissions so I define the permissions on the container so I don't have to do anything now I'll just upload the images and this is a new image which has been uploaded and now if I go inside the image and I copy the link and if I paste link over here you can see I am able to see the screenshot even here right the moment I go out and I change the access level to private and I click on OK now if i refresh ok so it did not change the permissions of the files not visible ok so that basically took some time for the permission to get allocated on the container which basically means like if I go out and if I change the access level again to plob and if i refresh this files yes i am able to see them right and again if I go out and if I change the access level to let's say private again and if i refresh the first refresh it is there the second refresh it is there but if you wait for some time like a minute or so this access will basically be gone as you can see it now says resource not fund right so with a click of a button you can basically control all the files permissions which is there inside a container and grant them public or private relaxes right guys so guys this was a brief demo about blob storage on a job let us come back to our slides right so the guys I hope now you clear with what blob storage is now let's move forward and talk about our next set of services which are the database and the analytical service in Microsoft Azure all right so basically there are five core services that you should know off when you're dealing with Azure in terms of databases and analytics so the first service is the SQL database service which basically is a database as a service right you do not get an access to the operating system on Lister's database is installed you basically get access to only the database and basically if you remember what we have studied earlier for a service which does not gives you access to the operating system but in turn gives you access to a platform kind of thing where you can interact with the service and probably upload something onto the software being used is called platform as a service so as your SQL database is basically a platform as a service which not only gives you the independence from the infrastructure side but at the same time it is highly scalable and it can provide you up to 212 percent of return on investment that means that whatever money you are going to spend on Azure SQL database the benefits that it is going to provide you is going to give you back two hundred and twelve percent of the money that you would be investing in using Azure SQL database isn't that interesting right so this was the first service among the database and let analytic services in Azure a next service is cosmos dB now where is cosmos DB is basically a fully managed database service again just like SQL Server but in this case what happens is your database is extremely highly available which means it is distributed throughout the world using Azure regions and it is highly available right so basically what happens is when you launch a cosmos DB cluster it distributes or it creates a replica of the database and multiple regions as you specified right and the cool thing about cosmos DB is whatever region you want to close or want to stop and probably you do not want your database to be replicated in a particular region you can do that with the click of a button if you want it again in some other region you can again do that with a click of so everything is fast everything is at one the whole control is at one central place and you can replicate your database accordingly with that one platform or with one that one cosmos DB dashboard that you get right now again you have multiple models that you can implement in cosmos DB for example you can implement multi master replication or you can implement multi write regions replication which basically means usually when you have a distributed database which is highly available you have one region where all the lights take place but the read can actually be done from any of the regions where the database has been distributed but in case of cosmos DB you also have the option of configuring multi region region multi write regions which basically means that let's say I want to Emile India and my and I am a user who's using your application right now if I am using your application probably the website is being served from the nearest edge location of my location for example you must have enabled content delivery network on your website if you want to increase also it decrease the latency on your application right now to decrease the latency of your application you have implemented CDN so I am being served the website from the nearest location of my home from where am i accessing your application and at the same time the application itself is also accessing the database right now imagine the website is fast but the processing that it does that is is the data that has a it has to fetch from particular database it exists and altogether a different region which is on the other part of the world right on the or on the other side of the world right that'll again increase the latency of your application so it so you don't only need your front-end component to be highly distributed you also need your back-end and your database to be highly distributed and highly available right and that is the sole reason when you are dealing with the audience which is spread across globe you also have to take care that the processing that these that each of these guys are doing would also be available to them in the lowest time possible and for that what you have to do is the backend processors or the backend servers and the database servers also have to be near them so that whenever they're writing any information that also information can be written faster now if you have a right one and read anywhere kind of a distribution in that case you will have to write at a central location let's say the center location is the US and your databases which are basically the read replicas are actually distributed throughout the blue what are the replicas real replicas are basically the copy of the central database from which you can read the data and these read replicas basically get synced or basically are synced with a central database with the so whatever you write on the database is automatically and quickly replicated on the read replicas as well so it's very fast right so in terms of reading the data you can get a very low latency but in terms of writing the data if you want low latency as well then you need to have multi write regions and that is exactly what this feature is falling so in a nutshell cosmos TB is basically a fully managed database service which provides you with a large-scale deployment of databases throughout the globe and it also gives you the option of deleting or replicating your database on a new region entirely with a single click of a button right so that is what cosmos TB is for you guys right the next set of or the next service that we have is the data factory service now what is the data factory service it is basically an ETL service which is an extract transform and load service which basically can take data from multiple sources and then transform the data according to what has been coded in the application using regular service which can be used in conjunction with data factory and then load the resultant data into a bi service which can be used to analyze the data right so usually when you are doing this kind of an infra setup you need a lot of planning you need a lot of mediators between the technologies which are being integrated for example the data can be coming from multiple sources such as social media websites it can be coming from emails it can be coming from chats it can be coming from reviews it could be coming from anything right so all these data sources are basically first of all aggregated and the data is first put in the raw form in one particular place then what happens is according to the logic that you have specified for the transformation of this data for example you probably want to see the data in a particular view so that basically means you would have to first transform this raw data that you have got from multiple sources into a structured format so that is what transformation is so once you have the resultant data that you feel is the correct way of getting the data or representing the data the next step that you need is obviously if there are a million rows in your data set you won't be able to find what you are actually looking for or basically it might take a lot of time for you to analyze a million rows of data that you have just created so what you can do is or what what the industry came up to this particular problem was that they created a business intelligence application what is the business intelligence application it takes in the data set and it quickly creates patterns it creates quickly creates graphs which can actually help you to better understand the data right so data factory also happens to have the integration capabilities with a lot of BI tools the most prominent one is Microsoft's own power bi tool but it also can integrate with tableau and other BI systems all right similarly it can be integrated with multiple data injection systems as well so it's a total ETL system that you can deploy on Azure and connect your various sources and outputs and get the resultant output okay so this is what data Factory is our next service is event hubs now what is the event UPS event hubs is basically a place where you can again take in a lot of data just like data factory you can extract data from multiple sources but in this case you're not actually extracting data but the multiple sources from where the data is being generated the data is being pushed on to event hubs okay so the data is pushed on to event hubs and the event hubs job is to process this data and see where the stage data has to go next right for example let's say the data is coming from a social media website right so you analyze okay so this data came from a social media website it has to go to this particular service this data is coming from this particular website it has to go to X or Y particular service similarly you have millions and millions of data coming every second or data packets coming every second and the sole job of event hub is to basically analyze each packet and directed to the corresponding consumer of that packet right so this is what event Apps is for you so this is done very fast so the speeds claimed by azure is around 1 Gbps that that is it can process 1 GB of data per second so the message is coming to end event ups can be processed that faster and it also does parallel computing of each data packet right so this is how what this is whatever event hubs is for guys you know obviously event ups cannot be just used alone right you have to use it with in conjunction with a host of applications for example the producers that is the data producing resources have to first combined with innovator and then you have to define the rules in event hub as to what data goes where our what data goes to which consumer right and then your consumers are defined on and they are basically connected to event hub right so basically event ups in the most basic sense is a single point of data ingestion so you don't have to worry about where should I send my data send all your data to event hubs and event hubs will decide very Oh data packet has to go based on what rule you are defined inside that system okay so guys this is what event hubs is our next service is data link analytics right so we already saw what data leak is so data link is basically a storage for big data analytics right so data lead analytics is basically a distributed cloud based data processing infrastructure right so it is basically architected to perform data processing on the big data I mean the data that is stored on data Lake is has to be processed by something right and that processing can actually be done by data Lake analytics so it is basically the architecture is based on yarn so yarn is basically a component of the Hadoop ecosystem and it can all and basically pairs with Azure data Lake store or where basically we have stored all our data and can perform the analysis on the scale of bitted analysis that big data is huge amount of data with variety of data in it right so all the data has mixed and matched fears right the data is in the rawest form possible and the processing can be done only by using selected tools which can actually make that happen if you use simple tools or if you use traditional tools the time taken by those tools to process this model data will be huge right and that is why you need loop tools to basically make this process faster and as your have used the same technology that loop uses and has made it even faster whew right so data link analytics is used in big data analytics it will basically use for processing data and what data the data which you store on zero data like store right so this is what data link and I'll take guys moving forward guys now let's move on to a next domain which is the AI and machine learning domain in Azure alright guys so in Azure you basically have three core services in the AI and machine learning domain the three core sources are cognitive sources then you have bought services and then you have the awesome machine learning studio so let us understand the each of these services one by one the first service is the cognitive services now what are cognitive services cognitive services in a server are basically API is or SDKs you know which have been developed for a developer which can be integrated in his application and these API is and SDKs basically interact with the machine learning models which have been created in Azure right so cognitive services would include services like vision which basically gives you image processing capabilities it also has text analytics services which can basically do natural language processing for you so all these services all these services in Azure are ready to use and to use them you will have to integrate them with your applications and those integration can happen with the help of api's can happen with the help of SDKs and once your application is integrated with these services you're charged on the basis of the number of requests that you make to these particular service for example the vision service and the cognitive sources office your it's pretty awesome any image that you upload it will tell you each and everything in the image whatever is present and how is that possible basically as your has processed thousands and millions and even billions of images already right and they have trained their image processing machine learning model in a way that now it gives accurate results right so instead of creating your own machine learning model for image processing you can actually use the azores machine learning model and you can get your work done so it might have used deep learning it might the only machine learning we do not know but the results are very accurate and if you want to use AI and machine learning capabilities office your so the models which are trained by Azure if you want to use them directly you can actually use the cognitive services of azure and to integrate them with your applications you have seven lay PS and SDKs available to you so this was about cognitive services guys now there's a derivative of the cognitive services that roger has launched which is basically called the bot service now what if the bot throw is guys the baud service is basically a chat bot which has been developed by Azure which is totally based on AI and it basically makes uses of the natural language processing service or the capabilities which are basically there in the cognitive services of a Searle it makes use of that right and it is very to the point and you don't have to train the model to become expert in the conversation that you're having but it can actually learn from every conversation that you have with the AI chat board of Israel and you can actually tweak its setting so that it becomes custom design for you so that your customers get the right answer every time they ask a question from the bot service officer right so in a nutshell as your bot service is nothing but a chat bot service it's a pre-built chat pod service which you can integrate in your application and this chat bot service has already been trained by Azure and it gives accurate answers to questions and but obviously you're you will have to tweak it according to your applications you'll have to do some settings so that it answers the correct way of answering the answers would be according to you and according to your domain of application okay so there's this was the bot services and next set of service is the machine learning studio now what is the machine learning studio guys it's basically a very simplified version of using machine learning for example the most simple language that I think for starting off in data science is our right so as a beginner if you start using our or start learning you will have to spend some time to first of all understand the syntax how it works etc and then you'll get a hang of how to create mortals how to train them how to test em etcetera right what machine learning studio says is you do not have to learn any programming language it has drag-and-drop interfaces so all you have to know is their science AI or machine learning conceptually and if you understand or you feel have the principles of the data science concepts understood play well what you can do is you can start off by creating your own machine learning model by just doing drag and drop from the UI of the O's your machine learning studio and you'll be up and ready with the first model in under five minutes of course for a specific set of data set obviously you will not be taking millions of billions lines as a result otherwise that will take a little more time but yes you can create your own machine learning model with Azure machine learning studio without knowing any programming language right so that is the power of synchronous video and most coolest feature of it is it has a drag-and-drop user interface so everything is drag-and-drop you just drag and drop whatever you need whatever data set you need whatever recorded them you want to implement whatever thresholds you want to implement you just I can drop everything and it will work like a charm okay so guys this was the machine learning studio application for you the next set of services that we are going to discuss guys are the identity services in Azure alright guys so now let's go ahead and understand the code of your services in the identity domain right so that is the probably the most important service when you are dealing with identity in Azure is as your Active Directory now what do you mean by identity identity basically means when you want to give a particular person some access to a particular resource that care is being used on Azure cloud right so as your Active Directory is basically a fully managed multi tenant service from Microsoft that basically offers identity and access to particular users in your organization now if you are acquainted with how Microsoft Windows server works you would there is a server active directory as well right there's a Microsoft server active directory as well in which you can specify for your on-premise applications which users have access to what extent right for example some people can just have read access or some people can have read and write access or some people can even have admin and access to a particular application right and most important part about as your active directory is that it can integrate it with your on-premise server Active Directory and can also authenticate people who are there on the on-premise infrastructure and want to use the compromised resources like or on-premise software can also be authenticated using Azure Active Directory and if those optimized users then you want to use resources on Azure that also will be authenticated using Azure Active Directory right now how does all this works so it's a very simple concept guys what you can do you can actually add users in Azure Active Directory right now you can add individual users and you can assign individual roles to each users for example if there is a SAS application which you are deployed on Microsoft Azure giving access to that particular SAS application to a particular user would be possible by just adding a user and giving him the access of thus that SAS application right and you can also do a mass a location of a particular permission for example let's say you want to give administrator privileges to a set of people now how would you give that so one way is whenever there is a person who comes into a company whom you think can be given admin access we will add as user and provide them the admin access for what you can do is you can actually define a group on which you have specified admin resources also admin privileges and whoever users will be added to this particular group they'll get those permissions or will get those privileges automatically right so in this case what you will be doing is whoever is coming into the organization you are just adding him to the group and the permissions inheritance takes place automatically because that group has been assigned the admin privileges similarly if you want to create some other group for example you want to create a group for some SAS application you can also do that right and this concept is a part of Azure Active Directory and again in a nutshell Azure Active Directory is nothing but it's basically a directory in which you can add users and specify what these users can do on Azure or on on to my software right and these users can be managed in two ways either either you can manage them individually by creating a user time and again all whatting in two ways you can add these users to already existing groups that you have created with the respective permissions and they'll inherit all the properties which have been specified to that group okay so there's this wiz the azure active directory in this will about the identity domain in Microsoft Azure moving forward guys now let's talk about the management tools in Microsoft Azure that are very important for you to know while you're working as an azure professional all right so let's go ahead and understand the management services of azure so the first service is log in analytics guys now what is log in analytics so basically the full name of this services login analytics workspace now what you can do with login analytics workspace is you can dump all the logs for with respect to what is happening on a particular as your resource on to this workspace now how do you do that the first thing that you do is you basically go to your management console and you go to log in analytics workspace over there you will have to create a login analytics workspace and specify the name anything right it's please straightforward once you specify that the next step would be to add a data source so if I will show you quickly I can just jump on from a management console I can go to log narratives workspace now here is the sample log analytics workspace that I've created I'll just go inside it and as you can see it says connect a data source so you can create or you can basically connect as your virtual machines over here or you can specify some other sources you want to and you can also specify as your activity log so stream over here alright so this will start accumulating logs in this workspace once that is done we will have to specify monitoring solutions as to how you want to read the logs and what do you want to do with respect to a particular level of logs for example you have info level you have critical level in logs right this basically tells you that a particular command failed or a particular command passed so if the level or the level field of a log effect let's say info that means it's fine it can go in but let's say the level should in the log so what do we mean by level field a little filled with nothing but you can specify in your log notation that whenever there is an error I would specify a term such as level okay and I would specify that is equal to critical but if things are okay it's just for know-how as to which command has been executed and that command executed successfully in that case I can specify the level as info okay and then I can specify in my monitoring solution that whatever log comes in check the level field in that log and if the level field is critical you can flag that log basically so all that can be configured inside the monitoring solution so if I were to click on view solutions you can actually check out what all monitoring components you can actually add on your log in a textbook space so as you can see you can add as your security sensor you can add optimize catalog so there are a lot of things that you can basically add on to monitor logs right you can choose according to your will it is available in Azure marketplace so once you specify the monitoring solution god log starts to flow in and in your monitoring solution is after specify which log so flag and that's how it's gonna work right so this is the log analytics service energy-wise in and it helps you to manage your Ezio resources effectively pinpoint where the problem is go over there and see the logs see on which command problem occurred fix a problem and then go ahead with your daily routine so this is one log analytics is guys the next service is cost management and billing so this is basically a native application of a service which helps you to manage your bills in a journal right so for a few things which I can tell you on the top of my head which comes in is that he can manage a budget you can specify that might as your budget or my as your bill should not go over a particular limit you can specify that or you can so when you when you say it could not go over a particular limit that means if it goes beyond that all your services will be stopped but when you are in a business you actually don't want that so what so this particular limit is called a hard limit that is you want to limit it it to that particular cost there is another kind of limit which is called the soft limit which basically means it will alert you that your budget has been crossed and you can actually make forecasts also in this particular service based on your uses lets you have used as you're heavily four five days so it gives you a forecast that if you happen to use as you're in this similar fashion this is what your bill is going to be at the end of the month right and then you can actually see what kind of tweaks you can make in your services so that your bill comes down so all of this is possible in cost management and billing service officer now this also is under the management domain reason being it helps you in managing your resources in a better fashion the next service guys is a very important service which is an automation account now what is an automation account is it is nothing but it's it's a way of deploying as your resources so how do you reply as your resources so we have seen few of the resources in this session today therein we deployed a virtual machine we deployed a storage account so all of that was possible one by one I mean I had to go manually into that service I had to click on add I had to specify a name and that's how you know my resources were deployed but in automation account what happens is you can create run books now what are the on books you basically specify a code where and you specify all the resources and their names and their configurations that you want to deploy and then you upload that run book onto the automation account and then you run that run book then what it does is it automatically creates the resources for you you don't have to do anything just put that run look over there click on play button it will create all the resources for you with the exact same configurations that you have specified in the code it is particularly helpful when you're setting up a large infrastructure wherein you'll have to deploy thousands of to thousands of a scene where each where the two thousand machines are basically divided into multiple sets it could be back in Somerset it would be database services it could be front-end server side all of which will have different kind of configurations and if these this is the kind of a scenario then run books would be of great help and that's where automation account also comes in which basically helps you to play those mangos okay a next service is matrix guys no matrix is a service which helps you to visualize what all is happening on your as your resource for example what is the network throughput what is the CPU usage right what are the memory usage all of that you can see inside matrix now you can actually check a 24-hour log as well in matrix and see at what point of time does your resource or your or the particular metric that is checking who BCP usage will be memory using is actually rising and then you can plan accordingly as to how to plan your or how to scale your infrastructure at that particular time right so this is what metrics are useful for it basically gives you an overview of how things are going so if you think about it it is nothing but metrics sorry it is nothing but logs which is basically basically getting visualized in from of graphs but nonetheless it's very helpful and that is a service which is being provided to you by a sir by the name metrics all right guys so these were all the services in management domain guys are next up we'll be discussing a hands-on so enough of theory I guess we have discussed probably most of the important services which are there in the azure portal now what we'll be doing is I will be showing you an application which basically exists on my local host and what we try to do is we will try to migrate that to Azure and we'll choose the services based on the knowledge that we have gained today we'll choose the services accordingly then we will set up the infrastructure and then we'll see how it works on the cloud so there is let's go ahead and do that alright guys so let's go ahead and let me show you what all we are going to do so the first thing that we're going to do is basically I have a website that I've already created on a local host which basically can upload data to Azure blue blob storage through the website so I'm going to show you guys how I have configured it and how can it basically upload data to us your blog right so the second point is create a new container and upload files to this container from the website right so we will be creating a container and our website we're going to configure to upload files to this particular container third thing is we have to create a MySQL database on as yours right now what is happening is my website is basically storing data on the localhost MySQL engine what the hands-on expects us to do is we will have to deploy MySQL database on a jar and the website should basically push the data on to the MySQL database which will be there on the portal right so this is the third step and the force F finally we want our final website to be uploaded on as your web app and basically we have to deploy it using the local git method what it is don't worry about it as you move along you get it right so let's start off at the first point right now which is demonstrate the website on the localhost so let me switch on to my browser so guys this is my azure portal and if I have to demonstrate to you my website it basically exists as your one right so this is my website guys and what it does is it basically can upload data onto Microsoft Azure but right now what we are not basically considered to connect to my Microsoft Azure storage account I will show you how we can configure it right so once a file is uploaded on the blob it also makes an entry of it in the database right now whereas database the database exists on my local host so what I'm going to do is I'm going to just open the mash in the console right and my MySQL console basically has a database called images so if I do a show databases you can see that there is an images database so this is the database that my website will be interacting to so let me just use images and in this database what I have is a table so if I do a short tables command you can see that I have a table called names right but right now there is no data inside so if I do a select star from games as you can see it is empty set right so when the data when this website will be uploading file when it will be successfully uploaded next step would be to basically put the data inside the database as to what is the name of the file okay so let me show you the code guys let me show you how the code looks like this is my index of PHP let me just open it alright guys so guys this is this is how my code looks like so the first thing that I'll have to do is basically I will have to enter a deployment key over here which will basically be my connection string and the second thing that I'll have to do is I have to enter the container name which I'm going to create in a little while right so let's first jump onto our job portal and what we want to do is go inside a storage account so guys this is my storage account and what I want is the deployment key so in the storage account you will have two to access keys just go inside that and here you will find two keys you can take any of these two keys so what I'll do is I let's say I take t1 and this is the connection string so I'll have to copy this and I'd have to come back to my code and I'll have to replace it over here so let's replace the deployment key and now I will have to remove this part out of the planning this is not required right but this we will remove and this is my deployment Keeler's all right next step is to basically enter the container name now the hands-on basically expects us to create a new container so let us do that so let's go inside overview and let's go to globes so I have a container in telepods over here let's create one more container and let's call it new right and let's give the exercise globe and let's click on ok all right so my container is now ready and it's called new let's name the container over here so my container name is new ok everything else looks good so right now this is this is basically the connection information for my MySQL database right now it is going to upload the data onto my localhost - kale alright so let's see if I can upload a file now let's save this in extra PHP let's come back to website let's refresh it once and now let's choose the file which we want upload let's go inside let us try to upload let's say database so this is an image which is called database let's select this and let's click on submit so it says blob updated uploaded successfully and new record created successfully so let us verify that in our database so I'll do a select star from Nimes as you can see there is a new entry over here which is 6 8 0 3 4 double 5 7 3 this is the name which has been assigned by my website so this is basically a random name the reason for that is that it could be that you are uploading duplicate files and if you upload duplicate files you don't want the names to coincide so what I'm doing is I'm assigning a random name to every file that I'm uploading all right so this is the file which has been uploaded and we can check it over here if I click on check list this is the file which has been uploaded and if I click on this file now I can download that file basically from it says blob not found and the reason for that is that I have to change the URL inside my list website which is basically if I click on check list this is the list dot PHP I'll have to change some code here I'll show you that but first let's go inside the new container and as you can see there's a PNG file over here now this PNG file I can directly download from a list file but in order to do that what I have to do is I have to click on this file and I have to copy this URL and I have to see what is the prefix over here so the prefix is this so I'll have to copy this prefix and now I will have to go inside my code and open the list of PHP code and this is the URL that I'll have to replace let's replace it all right great now let's save it come back to website this is a list or PHP let us refresh this points and now when I click on the file you can see that I have downloaded the file automatically let's click on this file and this is an image which has been downloaded now let's try something else let me show you the image first and then I'll try to upload it so what I'll do is I go inside downloads and let's say I want to upload this machine file so this machine file looks something like this ok now we're going to flow this machine file let's go inside our website fill it through the file and now let's select the machine file which is basically this this we will upload will click on open and we'll click on submit so it says blog uploaded successfully if I go inside my container and i refresh it you can see there's a new entry over here even in my database if i refresh there's a new entry over here and now what I can do is I can basically just go to my list refresh it this is the new entry click on it fire gets downloaded click here and this is the file which was a pure so what is basically happening over here is this file is now posted on plob and any of you if you click on this link you will be able to download it but the problem is that this website right now is only available on my local host and i have to make it available to the world now how can I do that so first thing first let us go back to our slides and see what is the next step so our next step is that I want to create a MySQL database on as yours right now my database which is being updated is on my localhost but what I want is that it should be updated on my as your maestro database now let's see how we can do that so the first thing that I will do is I'll have to go back to my as your dashboard I'll have to go to services and I'll have to go into databases and this is the database that I want to launch as your database for MySQL so let's select it let's add a database I want to include it inside my demo environment resource group the server name let's specify it as in internal one right the admin user name let's specify it as enter the password let's specify it as until at the rate 1 2 3 ok it says your password cannot contain all a part of the login name no shoes let's name it as as your at the rate 1 2 3 same is the case over here alright and where do I want to launch it I want to launch it in South India the version is 5.7 which is great now let's change the amount of specification that we have for this server let's click on configure server I want a basic configuration I basically want one code and I want the least amount of storage which is 5 GB Otto growth no I don't want it backup retention period the lease is seven days which is fine and I think that's it let's click on OK now server has been configured now let's click on review last create okay so our username is Intel my password is 0 at the rate 1 2 3 and now let's click on create alright so my deployment is underway which basically means my MySQL database is now getting deployed let's wait for some time let's wait it will wait for it to be complete and then we'll proceed with our demo or I guess so my deployment is now complete so I can just click on go to resource and I am in so this is my database guys now in order to see or in order to access my database this is the server name that I'll have to use so let's go ahead and select this so my server name is this let's copy and let's come back to our command prompt and what you want to do is MySQL - edge this is the connection string or the server name next thing is I'll have to specify the username which in my case is this so let's copy it paste it here next thing that I want is the password so password is your at the rate 1 2 3 now this will be really it says client with IP address is not allowed to connect to this MySQL server so let's solve that let's solve that so we will go inside connection security and what I want to do is I will specify my client IP which is this alright that's been added also guys turn this enforce SSL connection off because right now we don't want to get into making an SSL connection since this is the demo all right guys everything looks good now let's click on save and once this rule has been said what we'll see is that we should be able to connect to database alright guys so it says it has successfully updated the connection security and now when I go back to my command prompt and I try to enter the same command with the password as your at the rate 1 2 3 you can see I have successfully connected to my MySQL database on Azure now I'd like to do a show databases right now you can see there are only the default databases present so let us change that so i'll just exit or before exiting let us just create an empty database which is images so we'll use images and let's create a table so create table names and the names will be named space back at 20 so we have created it and now let's just go to our code so over here there's my code cards now I will have to specify the server name so server name in my case would be this let's copy it this is my server name a user name is this and a password is your at the date one two three okay everything looks good let's save the file similarly in index dot PHP let's do the same changes my surname is this let's copy it my username is this let's copy it and a password is your at the rate one two three alright let's save the file and now let's go to a website let's try to check the list let's see what it shows us it shows us empty because there's no data in the azure SQL table great now let's choose the file and now let's try to upload some random file let's click on submit it says blog date it successfully a new record created successfully let's check that so I just do a select star from names and I can see that there is a new entry over here if I do a checklist this is the new entry if I click on this I can download the file and this is the file that I basically great now my website is updating data on to your database and at the same time it is uploading data on to my storage account inside the container which is new right phones as blobs new and this is the new file which is basically just uploaded great guys now what I want to do is I want to make this website public right this website is working fine over here but I want this website to be used by everyone in the world now how can I do that in order to do that I will have to go on to and we studied or we saw a service which can basically just upload our website and not ask us to install any software launched asked us to login into the operating system do some configuration nothing it will just give us a dashboard through which we can upload our website so let's go ahead and do that so the web the service that I'm talking about is app services so let's go inside app services and let's click on add so now it will ask me with resource group so I'll say demo environment name of the instance let's specify it as until demo alright ok it's already been taken so let's specify into alright this seems to be available what do you want to publish I want to publish the code the runtime stack it's actually PHP 5.6 this is the one what is the region that want to deploy it in we want to deploy it in South India so that's like that one great let's change the size of the server which will be launched so basically we are in dev or test environment right and this is the minimum configuration is that we can launch all right let's click on apply and now let's click on review and create so this over here we can basically do all the change all the necessary review as to what all we are launching so we just selected PHP 5 point 6 and we specified the ah that's all we did right now let's click on create now there is what will happen now is basically deploy so on which it will install PHP 5.6 install Apache and then it will give me a URL and when I go to that URL I will basically see a sample app right it is not giving me access to the operating system it does not ask me to install any software all that was done over here was we selected the runtime stack which is PHP 5.6 we specified the server configuration and that is all that is all we need to configure and that is all we get access to now once it gets deployed I will show you there is how you can upload your code onto this particular web app so as you can see it is already deployed now let's go to resource and this is the resource guys the status is it's running right now and if at browse this web app right now you'll basically show me a sample web app which has been deployed right let's wait for that website to appear since this dev app has just been launched it might take some time for the web app to show the website but nevertheless it will show the website let's wait for it to actually show us let me try stopping it and refreshing it once all right it's going to take its free time so let's give it that alright so as you can see hey app serviced well opposed your app service is up and running trying to take the next step and deploy your code great so this is what you want to do now to deploy your code you will have to go inside deployment center so let's go inside that so once you're inside deployment center it's asking me where is my source control right so my source control is basically on my local right so but it my local is not a great repository as of now so what I can do is I can just go on my coal which is over here 0 1 this is the folder and let me just right click here and click on git bash right let me just make the text a little bigger for you so that there is visible alright so guys now what I'm going to do is I'm gonna initialize an enthe git repository git init and now I'm gonna add all the files in the get filesystem I'm going to stage it for the good filesystem so once this process is done I'm going to commit it git commit - then and in that first now let's say the files straight to the files are saved now what I want to do is I want to upload this particular code onto my as your web app right so going back to the portal I do have a local gate where I am a code checked in let's select this option and click on continue now it's asking me which build provider to choose don't worry about here don't worry about what is as your pipelines and what is kuru engine basically if you select kuru engine you don't have to do any configuration more on this we can discuss in the further sessions but right now just select the kuru engine and click on continue and now it says your local git repolish you are will be generated upon completion branch would be master app so this is build service okay let's click on finish so now it is basically going to set up the get environment for me on the web app so and what I will get is basically this URL which is my gate URL so this URL I will be using to upload my code but before that I will also have to set the credentials for my gate system so to set that I click over here FTP your credentials and I go to user credentials and I can specify anything over here let's specify a username let's say the username telepods and let's say the password is e which is saving credentials for the success great now what I can do is I can just close this and now I just have to go to my resource I have to go to deployment center and now I will just take the kit URL over here right this is a get URL let's copy this and now get the move and let's try to paste this link now yes so this was the syntax git remote add as your right and now what I want to do is I want to push my code on to a jar so git push is your master I'll hit enter and I will ask me the credentials so credentials is Intel apart and the password is Intel at the rate one two three Oh indication field I think I forgot the password no shoelace so I can just specify it again so Intel at the rate one two three and one two three inches okay inches are saved let's go back here it pushes your master and now it should basically push my code on to the web app now it will take some time over here guys don't worry about the time it will take around a minute or so to applaud your code so let's wait for that time and let's hope everything goes well all right the process has started so it is updating the branch now copying all the files great so my code is now uploaded on the app and it says it will restart in ten seconds great so meanwhile what I can do is I can go to my web app and I can just refresh this and as you can see my website is now available over here alright if I click on check list you will see an error and I will tell you why that error would be there it says connection failed client with IP address is not allowed to connect to this MySQL server how can you solve that just go home and go to your database go to connection security and allow this allow access to your services just click on on and as a security feature just remove the IP address that you used earlier and now let's click on save so now my security settings we get upgraded and then I would be able to use my website on the web app alright so my settings are about to be abated let's wait for that time and then we'll go ahead alright guys so my data is has been updated successfully so if I go here back and I click on refresh you can see the list is now being generated let's try to upload a file guys let's try to upload let's try to upload this word file ok let's click on open and let's click on submit it says blob updated successfully let's check that lets go to resource group let's go to our tour it account let's go you know and this is the docx file which was just updated and if i refresh the list i can see the docx file over here as well if I click on it I be able to download it in guys with this we have successfully completed our demo but let me show you a very awesome thing that comes with connecting get to your data right so now I can just simply go to my index of PHP and let's say I want to change this heading okay so let's try to change C heading I'll just go down upload towards your blob and let's add a little bit of text over here let's say welcome to telepath ok let's save it come back to work it terminal let's do a bit status you can see that index dot PHP has been modified great let's scale this file let's commit this file updated index great and now let's push it so get push will again take a minute or two and then our files will get updated on the web app automatically alright so my code has been updated let's go ahead and check it so let me just refresh this website and as you can see my code has successfully updated over here it says upload to a job blog welcome to in telepath and this is exactly what we changed all right so guys with this we have successfully completed our demo let's summarize what all we did so let me come back to my slides so we demonstrated the website on the localhost fine then we created a new can and then we uploaded all the blob files over there after that we also deployed a MySQL database on Azure and the localhost website was then able to insert data onto the mysql database on Azure and then finally we also deployed an is your web app and we deployed our website using the local get method and finally we also checked if we updated anything and we pushed through a get method the files were successfully being uploaded onto mine as I better right so with this guys we've successfully completed our demo our next topic is basically quiz so let's go ahead and see some of the questions that we can answer after attending this session okay so our first question is which of the following is not a platform as a service and you options are MySQL database 4 is your app service as your VMs or is the answer none of these okay so you wanted to pause the video and think about it so did you guess the answer so yes the answer is your VMs the next question is can we deploy as your VM without a virtual network so the options are yes/no or none of these so what do you think so yes you get it right the answer is no right let's now move on to a third question which is what is Azure Active Directory useful is it a monitoring B Identity Management C automation or D none of these now guys I will not give you the answer for this particular question so you'll have to answer it to me in the comment section below right alright guys so I hope this video was useful to you and if you found it helpful please like and share this video and also subscribe to our in telepath channel so that you don't miss out on any updates from us right if you have any queries with regards to what was taught in the video today please complete it down in the comment section and we'd be happy to help you out right so keep learning with Intel apart I'll see you in the next video have a great day ahead and good bye