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Overview of Cloud Computing Concepts

Feb 10, 2025

Cloud Computing Tutorial Notes

Introduction

  • Speaker: Samuel, Multi-platform Cloud Architect and Trainer at Simply Learn.
  • Topics Covered:
    • Purpose and necessity of Cloud Computing
    • Definition of Cloud Computing
    • Types of Cloud Computing
    • Dominant Cloud Providers
    • Lifecycle of a Cloud Computing solution
    • Implementation of Cloud Computing in AWS
    • Demo using EC2 and S3

Why Cloud Computing Was Needed

  • Problem Solved by Cloud Computing:
    • High costs of on-premises infrastructure.
    • Lack of flexibility and scalability in traditional data centers.

Key Differences Between Cloud and On-Premises

  • Billing Model:
    • Cloud: Pay-as-you-go; less usage = less cost.
    • On-Premises: Upfront costs + ongoing operational costs.
  • Space Requirements:
    • Cloud: No physical space required for servers.
    • On-Premises: Large space needed for hardware.
  • Management Needs:
    • Cloud: Managed by provider; simpler management interface.
    • On-Premises: Requires dedicated IT team.
  • Data Security:
    • Cloud: Higher security standards due to provider investments.
    • On-Premises: Security is often limited by budget.
  • Data Recovery:
    • Cloud: Advanced recovery options available.
    • On-Premises: Limited focus and capability.
  • Flexibility:
    • Cloud: Easily scale up or down; migrate environments quickly.
    • On-Premises: Difficult to restructure.
  • Updates:
    • Cloud: Automatic updates.
    • On-Premises: Manual updates required.
  • Global Collaboration:
    • Cloud: Easy data sharing with global teams.
    • On-Premises: Difficult to access data remotely.
  • Implementation Time:
    • Cloud: Deploy in weeks.
    • On-Premises: Can take years.

Understanding Cloud Computing

  • Definition:
    • Delivering computing services (like storage, processing) over the internet on a pay-as-you-go basis.
  • Access:
    • Data stored in the cloud can be accessed from anywhere with an internet connection.

Types of Cloud Computing

Based on Deployment Models

  1. Public Cloud:
    • Available to the general public; owned by cloud providers.
    • Example: AWS, Azure.
  2. Private Cloud:
    • Exclusively operated for a single organization; can be on-premises or off-premises.
    • Example: VMware, AWS Private Cloud.
  3. Hybrid Cloud:
    • Combination of public and private clouds.
    • Allows integration with existing on-premises data centers.

Based on Service Models

  1. Infrastructure as a Service (IaaS):
    • Basic computing infrastructure; pay-for-what-you-use.
    • Example: AWS EC2.
  2. Platform as a Service (PaaS):
    • Platform for developing/testing applications without managing underlying infrastructure.
    • Example: AWS Elastic Beanstalk.
  3. Software as a Service (SaaS):
    • Software hosted and managed by the vendor; accessed via internet.
    • Example: Google Workspace.

Key Cloud Providers

  • Amazon Web Services (AWS):
    • Comprehensive cloud services provider; includes IaaS, PaaS, SaaS.
  • Microsoft Azure:
    • Offers a range of cloud services for building, deploying applications.
  • IBM Cloud:
    • Provides public, private, and hybrid cloud solutions.
  • Google Cloud Platform:
    • Offers services for computing, data storage, analytics.
  • DigitalOcean:
    • Focused on simplicity for developers to deploy applications.

Cloud Computing in AWS

  • AWS Overview:
    • Cloud computing service provided by Amazon.
    • Key offering: IaaS with pay-as-you-go subscriptions.

Lifecycle of a Cloud Computing Solution

  1. Understanding Requirements:
  2. Define Hardware:
    • Select appropriate compute services (e.g., EC2, Lambda).
  3. Define Storage:
    • Identify storage services (e.g., S3 for backup, Glacier for archival).
  4. Define Network:
    • Choose network services for secure data delivery.
  5. Set Up Security Services:
    • IAM for authentication; KMS for encryption.
  6. Deployment & Monitoring:
    • Use tools like CloudWatch, Auto Scaling, CloudFormation.
  7. Testing & Analytics:
    • Tools for building, testing, deploying code.
    • Use analytics services like Athena or EMR.

Demo: Using EC2 & S3

  • Create AWS Account:
  • Create S3 Bucket:
    • Store files that EC2 will access.
  • Create EC2 Instance:
    • Virtual machine in the cloud; install web server.
  • Synchronize S3 with EC2:
    • Use aws s3 sync command to pull files.

Conclusion

  • Covered basics of cloud computing, types, dominant providers, AWS lifecycle, and practical demo using EC2 & S3.
  • Next Steps: Explore more about cloud computing in later videos.