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Azure: Day 1 - Basics of Cloud Concepts
Jun 26, 2024
Azure: Day 1 - Basics of Cloud Concepts
Introduction
Presenter:
Abishek
Series:
Azure 0 to Hero
Video Goal:
Understand the basics of cloud concepts, common vocabulary, and terminology in cloud computing.
Pre-requisite Knowledge:
Essential before starting on any cloud platform (AWS, Azure, GCP).
Purpose:
Build a foundational understanding of cloud concepts and keywords.
Navigating the Series
Notes:
Uploaded to corresponding folders (e.g., Day One).
Repository:
Follow and watch for updates.
Revision:
MD files serve as reference materials.
Understanding Cloud Computing
Applications:
Developed on developers' machines, deployed on servers for public access (e.g., Instagram, Twitter).
Servers:
Computers with local storage, CPU, and RAM dedicated to running applications/processes.
Data Center:
Collection of servers connected via racks, cables, switches, and routers. Essential for application deployment.
Types of Cloud Models
Private Cloud
Setup:
Owned and managed by the organization.
Challenges:
High initial costs, maintenance, security, and continuous upgrades. Often used by financial institutions.
Public Cloud
Providers:
Amazon (AWS), Microsoft (Azure), Google (GCP).
Services:
Rent servers from cloud providers' data centers.
Benefits:
Reduced overhead, maintenance, and cost. Managed security and electricity supply.
Hybrid Cloud
Combination:
Mix of private and public cloud services.
Use Case:
Sensitive data on private cloud, rest on public cloud.
Multicloud
Definition:
Uses multiple cloud services from different providers (e.g., AWS + Azure).
Difference:
Different from hybrid cloud, not to be confused.
Core Cloud Concepts
Cloud Computing
Definition:
Running applications on the cloud and accessed by users.
Participants:
System administrators, cloud engineers, devops engineers.
Essence:
Integrates the tasks of various engineers and cloud platform mechanisms.
Key Terms to Know
Virtualization:
Divides servers into smaller, logical servers called virtual machines using a software called hypervisor.
API (Application Programming Interface):
Programmatic way to access cloud services or applications. Often used in scripting or automation.
Regions and Availability Zones:
Geographical layout for cloud providers. Provides redundancy and disaster recovery.
Load Balancer:
Distributes application traffic across multiple servers for optimal resource use and high availability.
Scalability:
Ability to scale resources up/down based on demand.
Elasticity:
Auto-scaling to adjust resource capacity dynamically.
High Availability:
Ensuring applications are available with minimal downtime.
Disaster Recovery:
Backup and recovery solutions in the event of a failure.
Detailed Concepts
Virtualization and Virtual Machines
Purpose:
Efficient utilization of server resources by creating logical servers (VMs).
Hypervisor:
Software that enables this division.
Cloud Providers:
Use virtualization for efficient resource allocation.
APIs
Function:
Allows programmatic access to applications/resources.
Example:
Requesting virtual machines through API vs. user interface.
Regions and Availability Zones
Region:
A geographical area with multiple data centers (availability zones).
Availability Zones:
Ensures redundancy within a region.
Importance:
Prevents single point of failure within a geographical region.
Load Balancer
Role:
Balances traffic across multiple servers/VMs.
Configuration:
Can allocate traffic based on set algorithms.
Health Checks:
Monitors server health and reroutes traffic as needed.
Scalability
Static vs. Dynamic:
Manual and autoscaling (elasticity).
Objective:
Handle varying loads without performance degradation.
Vertical vs. Horizontal:
Increasing resource capacity within a VM vs. adding more VMs.
High Availability
Goal:
Minimize application downtime through robust infrastructure design.
Disaster Recovery
Plan:
Strategies for backup and recovery in case of a disaster.
Method:
Geographical redundancy, backups, and replicas for vital data.
Conclusion
Next Steps:
Moving to specifics like creating accounts, deploying VMs, etc.
Community Engagement:
Comment feedback encouraged.
Summary:
Building foundational cloud knowledge needed for subsequent lessons.
📄
Full transcript