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).
