Course Details-Cloud Computing

Trainer

Chandan Pandey

Schedule

8.00 pm - 9.00 pm

Start Date

6 January 2025

Available Seats

30

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1. Introduction to Cloud

  • What is Cloud Computing? A model for delivering computing services over the internet, including storage, servers, databases, networking, software, and more.
  • Cloud Service Models:
    • Infrastructure as a Service (IaaS): Provides virtualized computing resources over the internet.
    • Platform as a Service (PaaS): Offers hardware and software tools over the internet, often for application development.
    • Software as a Service (SaaS): Delivers software applications over the internet, on a subscription basis.
  • Cloud Deployment Models:
    • Public Cloud: Services offered over the public internet and shared across multiple organizations.
    • Private Cloud: Services maintained on a private network, exclusive to a single organization.
    • Hybrid Cloud: Combines public and private clouds, allowing data and applications to be shared between them.

2. Introduction to AWS (Amazon Web Services)

  • Overview of AWS: Amazon’s cloud computing platform, offering a wide range of cloud services including computing power, storage, and databases.
  • Key AWS Services:
    • Amazon EC2: Scalable virtual servers in the cloud.
    • Amazon S3: Scalable object storage for backup, archiving, and analytics.
    • Amazon RDS: Managed relational database service.
    • Amazon Lambda: Serverless computing service that runs code in response to events.
  • AWS Management Tools:
    • AWS Management Console: Web-based interface for managing AWS services.
    • AWS CLI: Command-line interface for interacting with AWS services.
    • AWS SDKs: Software Development Kits for various programming languages.

3. Introduction to CI/CD (Continuous Integration/Continuous Deployment)

  • What is CI/CD? Practices that automate the process of code integration, testing, and deployment.
  • Continuous Integration (CI): The practice of automatically building and testing code changes to detect issues early.
  • Continuous Deployment (CD): Automates the release of code changes to production environments.
  • CI/CD Tools:
    • Jenkins: An open-source automation server for building, deploying, and automating projects.
    • GitHub Actions: CI/CD and automation tool integrated with GitHub repositories.
    • GitLab CI/CD: Built-in CI/CD pipelines within GitLab.
    • CircleCI: Cloud-based CI/CD service that automates the build, test, and deployment processes.

4. Work with S3 and EC2

  • Amazon S3 (Simple Storage Service):
    • Bucket Creation: Create and manage storage buckets.
    • File Upload and Download: Upload and download files to/from S3 buckets.
    • Bucket Policies: Manage access permissions for your S3 buckets.
    • Data Management: Use features like versioning, lifecycle policies, and encryption.
  • Amazon EC2 (Elastic Compute Cloud):
    • Instance Creation: Launch and manage virtual servers (instances).
    • Instance Types: Choose from different instance types based on compute, memory, and storage requirements.
    • Security Groups: Configure firewall rules to control traffic to your instances.
    • Elastic Load Balancing: Distribute incoming traffic across multiple EC2 instances.

5. Understand Security and Scalability

  • Security in Cloud:
    • Data Encryption: Encrypt data at rest and in transit using services like AWS KMS (Key Management Service).
    • Identity and Access Management (IAM): Manage access to AWS resources with IAM roles, policies, and groups.
    • Network Security: Use VPC (Virtual Private Cloud), security groups, and network ACLs (Access Control Lists) to secure your network.
  • Scalability:
    • Auto Scaling: Automatically adjust the number of EC2 instances based on demand.
    • Elastic Load Balancing: Distribute incoming traffic to multiple instances to ensure high availability.
    • Scalable Storage: Use scalable storage solutions like Amazon S3 and Amazon EBS (Elastic Block Store).