Script for Class 15 - CI/CD: CodeCommit ; CodeBuild ; CodeDeploy ; CodePipeline

# Script for Class 15 - CI/CD: CodeCommit ; CodeBuild ; CodeDeploy ; CodePipeline # **Agenda of the Day** * Understanding CI/CD: Overview, Benefits, and Real-World Use Cases * AWS CodeCommit: Secure and Scalable Source Control for CI/CD * AWS CodeBuild: Automating Build and Test Processes in CI/CD * AWS CodeDeploy: Streamlining Application Deployment Across Environments * AWS CodePipeline: Orchestrating CI/CD Workflows for Faster Software Delivery ---- # Understanding CI/CD: Overview, Benefits, and Real-World Use Cases ## **What is CI/CD?** CI/CD (Continuous Integration and Continuous Deployment/Delivery) is a **software development practice** that automates the process of integrating code changes, testing them, and deploying applications. - **Continuous Integration (CI):** Developers frequently **merge code** into a shared repository, where automated **builds and tests** ensure that the changes do not break functionality. - **Continuous Deployment/Delivery (CD):** Automates the process of **delivering** new features or fixes to production (Deployment) or a staging environment (Delivery). --- ## **Benefits of CI/CD** ### **1. Faster Development and Deployment** - Automates repetitive tasks, reducing manual errors. - Speeds up the software release cycle. ### **2. Improved Code Quality** - Automated testing ensures bugs are detected early. - Code reviews and CI/CD pipelines enforce **best practices**. ### **3. Reduced Deployment Failures** - Small, frequent releases make it easier to rollback faulty changes. - Continuous monitoring helps detect issues quickly. ### **4. Cost-Effective and Scalable** - Reduces the cost of fixing bugs in production. - Allows businesses to scale deployments seamlessly. --- ## **Real-World Use Cases of CI/CD** ### **Example 1: E-commerce Website Deployment** **Scenario:** An online retail company frequently updates its product catalog and user interface. **Solution:** - **CI:** Developers push changes to a central repository (e.g., GitHub, AWS CodeCommit). - **CD:** A CI/CD pipeline (AWS CodePipeline) automates build, test, and deployment to AWS ECS. - **Outcome:** Faster feature rollout without downtime. ### **Example 2: Mobile App Release Pipeline** **Scenario:** A mobile app development team wants to ensure a smooth release of new features to both iOS and Android users. **Solution:** - **CI:** Every code commit triggers automated unit tests and build processes. - **CD:** Code is deployed to testing environments before rolling out to app stores. - **Outcome:** Ensures bug-free releases while maintaining a fast iteration cycle. ### **Example 3: Banking System Security Updates** **Scenario:** A bank needs to frequently deploy security patches to its web application. **Solution:** - **CI:** Developers push security updates to a repository. - **CD:** Automated integration tests check for vulnerabilities before deployment. - **Outcome:** Ensures security compliance while minimizing downtime. --- ## **Final Thoughts** CI/CD enables **faster, more reliable, and scalable** software development. By automating integration, testing, and deployment, businesses can **deliver better software efficiently** while minimizing risks. ---- # AWS CodeCommit: Secure and Scalable Source Control for CI/CD ## **What is AWS CodeCommit?** AWS CodeCommit is a **fully managed, secure, and scalable version control service** that allows teams to store and manage their source code and track changes using **Git repositories**. It is similar to GitHub, GitLab, or Bitbucket but is **hosted on AWS** with deep integration into other AWS services. --- ## **Key Features of AWS CodeCommit** ### **1. Highly Secure** - Uses **AWS Identity and Access Management (IAM)** to control repository access. - Supports encryption **at rest and in transit** to protect data. ### **2. Fully Managed and Scalable** - No need to manage servers or worry about scaling storage. - Supports **unlimited repositories** and **large files**. ### **3. Integration with AWS CI/CD Tools** - Works seamlessly with **AWS CodeBuild, CodeDeploy, and CodePipeline** for **end-to-end automation**. - Can trigger **AWS Lambda functions** for custom workflows. ### **4. Collaborative Development** - Supports **pull requests, branching, and merging**, like GitHub. - Developers can perform **code reviews** directly within AWS CodeCommit. ### **5. High Availability & Performance** - Designed for **low-latency performance** and **99.99% availability**. - No limits on **file size or number of commits**. --- ## **Real-World Use Cases of AWS CodeCommit** ### **Example 1: Version Control for a Development Team** **Scenario:** A software development team wants to manage and track source code efficiently. **Solution:** - Developers push code to **AWS CodeCommit repositories** instead of GitHub. - Teams use **branches and pull requests** for collaboration and code reviews. - Integrated with **CodePipeline** to automate testing and deployment. **Outcome:** A secure, scalable, and AWS-integrated Git solution. ### **Example 2: Automating Infrastructure as Code (IaC)** **Scenario:** A DevOps team wants to store **Terraform** or **CloudFormation** templates securely. **Solution:** - Stores **infrastructure code** in a **CodeCommit repository**. - Integrated with **AWS CodeBuild** to validate and deploy changes. **Outcome:** Version-controlled infrastructure with an automated deployment pipeline. ### **Example 3: Secure Code Hosting for Financial Services** **Scenario:** A bank requires a **highly secure** Git repository for sensitive applications. **Solution:** - Uses **AWS IAM roles** to restrict access to repositories. - Implements **encryption at rest** and **AWS CloudTrail logging** for compliance. **Outcome:** Ensures security, compliance, and version control in a regulated industry. --- ## **Final Thoughts** AWS CodeCommit is a **secure, scalable, and AWS-native Git repository** that integrates seamlessly with CI/CD pipelines. Whether managing application code or infrastructure as code, it provides a **reliable and cost-effective** solution for version control. --- # AWS CodeBuild: Automating Build and Test Processes in CI/CD ## **What is AWS CodeBuild?** AWS CodeBuild is a **fully managed build service** that compiles source code, runs tests, and produces **ready-to-deploy artifacts**. It eliminates the need to provision and manage build servers, making it an essential tool for automating CI/CD workflows. --- ## **Key Features of AWS CodeBuild** ### **1. Fully Managed and Scalable** - No need to manage **build servers or infrastructure**. - Automatically scales based on build requirements. ### **2. Supports Multiple Programming Languages** - Works with Java, Python, Node.js, .NET, Go, Ruby, and more. - Custom build environments can be created using **Docker images**. ### **3. Automated Testing and Code Quality Checks** - Supports running **unit tests and integration tests**. - Can integrate with **SonarQube, Selenium, and other testing tools**. ### **4. Deep Integration with AWS Services** - Works seamlessly with **AWS CodeCommit, CodePipeline, CodeDeploy, and S3**. - Can trigger builds automatically **when code is pushed**. ### **5. Secure and Cost-Effective** - Uses **AWS IAM roles** to control access. - Pay only for the actual **build minutes used**. --- ## **Real-World Use Cases of AWS CodeBuild** ### **Example : Automating Application Builds** **Scenario:** A team wants to automate the build process whenever new code is pushed. **Solution:** - **AWS CodeCommit** stores the source code. - **AWS CodeBuild** compiles the code and generates an artifact. - **AWS CodePipeline** deploys the build automatically. **Outcome:** Faster, automated builds with no manual intervention. --- # AWS CodeDeploy: Streamlining Application Deployment Across Environments ## **What is AWS CodeDeploy?** AWS CodeDeploy is a **fully managed deployment service** that automates application deployments to **Amazon EC2, AWS Fargate, Lambda, and on-premises servers**. It enables teams to deploy updates efficiently while minimizing downtime and reducing deployment risks. --- ## **Key Features of AWS CodeDeploy** ### **1. Supports Multiple Deployment Strategies** - **In-Place (Rolling) Deployment:** Updates instances one at a time. - **Blue/Green Deployment:** Shifts traffic to a new environment while keeping the old one active. - **Canary Deployment:** Gradually shifts traffic to the new version. ### **2. Works with Multiple Compute Services** - Supports **EC2, Lambda, Fargate, and on-premises servers**. - Can deploy applications running on **containers or virtual machines**. ### **3. Integration with CI/CD Pipelines** - Works seamlessly with **AWS CodePipeline, CodeBuild, and Git repositories**. - Can be triggered automatically when new code is pushed. ### **4. Deployment Monitoring and Rollback** - Tracks deployment status in **real-time**. - Can **automatically rollback** to a previous version in case of failure. ### **5. Secure and Scalable** - Uses **AWS IAM roles** for access control. - Supports large-scale deployments with **zero downtime**. --- ## **Real-World Use Cases of AWS CodeDeploy** ### **Example 1: Automating EC2 Application Deployment** **Scenario:** A company wants to deploy new versions of a web application running on **Amazon EC2**. **Solution:** - Developers push code to **AWS CodeCommit**. - **AWS CodeBuild** compiles and prepares the application. - **AWS CodeDeploy** automatically deploys the new version to **EC2 instances**. **Outcome:** Fully automated deployment with minimal downtime. ### **Example 2: Blue/Green Deployment for a Microservices Application** **Scenario:** A DevOps team wants to deploy **new microservices** without affecting production users. **Solution:** - **CodeDeploy** launches a new environment (Green) while the existing (Blue) is still running. - Traffic gradually shifts from **Blue to Green** once validation tests pass. - If issues arise, CodeDeploy **automatically rolls back** to the old version. **Outcome:** Safe and reliable deployments with minimal risk. ### **Example 3: Deploying Lambda Functions in a Serverless Application** **Scenario:** A team needs to update **AWS Lambda functions** used in an event-driven application. **Solution:** - **AWS CodeDeploy** automatically updates Lambda function versions. - **Canary deployment strategy** is used to shift traffic gradually. - If failures occur, CodeDeploy rolls back to the previous version. **Outcome:** Zero-downtime deployment for serverless applications. --- ## **Final Thoughts** AWS CodeDeploy simplifies and automates **application deployment**, ensuring reliable, repeatable, and **error-free** releases. Whether deploying to **EC2, Lambda, or on-premises**, CodeDeploy helps reduce downtime and enhances **CI/CD efficiency**. --- # AWS CodePipeline: Orchestrating CI/CD Workflows for Faster Software Delivery ## **What is AWS CodePipeline?** AWS CodePipeline is a **fully managed CI/CD service** that automates the build, test, and deployment phases of application releases. It ensures **rapid and reliable software delivery** by integrating with AWS and third-party tools. --- ## **Key Features of AWS CodePipeline** ### **1. Fully Automated CI/CD Workflow** - Automates **code build, testing, and deployment**. - Eliminates manual steps to speed up software releases. ### **2. Integration with AWS and Third-Party Tools** - Works seamlessly with **CodeCommit, CodeBuild, CodeDeploy, S3, Lambda, and ECS**. - Supports GitHub, Jenkins, Bitbucket, and other external tools. ### **3. Fast and Continuous Delivery** - Enables **rapid updates** to applications with **zero downtime**. - Every code change is automatically **built, tested, and deployed**. ### **4. Flexible and Customizable Pipelines** - Can define multiple **stages** like **Source, Build, Test, Deploy**. - Supports **manual approval** before deploying to production. ### **5. Secure and Scalable** - Uses **AWS IAM policies** for access control. - Scales automatically based on the number of builds and deployments. --- ## **Real-World Use Cases of AWS CodePipeline** ### **Example 1: Automating Application Deployment** **Scenario:** A company wants to deploy a new feature without manual intervention. **Solution:** - **CodeCommit** stores the updated source code. - **CodeBuild** compiles and tests the code. - **CodeDeploy** deploys the new version to **EC2 instances**. - **CodePipeline** orchestrates and automates the entire process. **Outcome:** Faster and more reliable application releases. ### **Example 2: Deploying Microservices with Containers** **Scenario:** A DevOps team wants to deploy containerized applications efficiently. **Solution:** - Developers push new code to **GitHub**. - **CodeBuild** builds a Docker image and pushes it to **Amazon ECR**. - **CodeDeploy** deploys the new container to **Amazon ECS**. - **CodePipeline** ensures the workflow runs smoothly from start to finish. **Outcome:** Automated deployment of microservices using AWS-native tools. ### **Example 3: Enforcing Security Checks in CI/CD Pipelines** **Scenario:** A financial services company wants to ensure security scans before deployment. **Solution:** - **CodePipeline** includes a security scanning stage with **SonarQube or AWS Inspector**. - If vulnerabilities are found, the pipeline stops, preventing insecure deployments. - Once issues are fixed, the pipeline resumes and deploys the application. **Outcome:** Secure and compliant application deployment. --- ## **Final Thoughts** AWS CodePipeline enables **automated, fast, and secure software delivery** by streamlining CI/CD workflows. Whether deploying applications, microservices, or infrastructure, it **reduces errors and accelerates releases**. --- # Wrap-Up and Q&A: - **CI/CD** streamlines software development by automating code integration, testing, and deployment, ensuring faster and more reliable releases. - **AWS CodeCommit** provides a secure, scalable, and fully managed source control service for efficient collaboration. - **AWS CodeBuild** automates the build and test process, reducing manual effort and accelerating software delivery. - **AWS CodeDeploy** ensures smooth application deployments across various environments with minimal downtime. - **AWS CodePipeline** orchestrates CI/CD workflows, integrating AWS and third-party tools to automate the entire software release process. --- # Multiple Choice Questions (MCQs) ## Understanding CI/CD: Overview, Benefits, and Real-World Use Cases **1. What is the main purpose of CI/CD in software development?** a) To manually test applications before deployment b) To automate code integration, testing, and deployment c) To replace developers with automation tools d) To write and store documentation **Answer:** b) To automate code integration, testing, and deployment **2. Which of the following is NOT a benefit of CI/CD?** a) Faster software releases b) Reduced manual errors c) Increased downtime during deployments d) Improved collaboration between development and operations teams **Answer:** c) Increased downtime during deployments **3. What does Continuous Deployment (CD) mean?** a) Automatically pushing code changes to production after passing tests b) Deploying applications once every month c) Manually testing and approving each release d) Stopping deployments after CI completes **Answer:** a) Automatically pushing code changes to production after passing tests --- ## AWS CodeCommit: Secure and Scalable Source Control for CI/CD **4. What is AWS CodeCommit used for?** a) Automating deployments b) Building and testing applications c) Hosting private Git repositories d) Monitoring application performance **Answer:** c) Hosting private Git repositories **5. Which protocol does AWS CodeCommit primarily use for secure access?** a) HTTP b) FTP c) SSH and HTTPS d) SMTP **Answer:** c) SSH and HTTPS **6. How does AWS CodeCommit help in CI/CD pipelines?** a) It automatically deploys applications b) It stores and manages source code securely c) It performs unit testing on the code d) It creates infrastructure in AWS **Answer:** b) It stores and manages source code securely --- ## AWS CodeBuild: Automating Build and Test Processes in CI/CD **7. What is AWS CodeBuild primarily used for?** a) Writing and storing source code b) Automating code compilation and testing c) Deploying applications to production d) Managing infrastructure as code **Answer:** b) Automating code compilation and testing **8. Which AWS service can CodeBuild integrate with for storing build artifacts?** a) Amazon S3 b) AWS Lambda c) AWS CloudTrail d) Amazon EC2 **Answer:** a) Amazon S3 **9. How does AWS CodeBuild charge users?** a) Based on the number of repositories b) Based on compute time and resources used c) Based on the number of deployments d) Based on the size of the application **Answer:** b) Based on compute time and resources used --- ## AWS CodeDeploy: Streamlining Application Deployment Across Environments **10. What is the primary function of AWS CodeDeploy?** a) Automating application deployments b) Writing and managing source code c) Monitoring cloud infrastructure d) Managing container orchestration **Answer:** a) Automating application deployments **11. Which deployment strategies does AWS CodeDeploy support?** a) Blue/Green and Rolling deployments b) Only Blue/Green deployments c) Only Manual deployments d) Just-in-Time deployments **Answer:** a) Blue/Green and Rolling deployments **12. In an EC2 deployment, how does CodeDeploy handle failed deployments?** a) Deletes the entire application b) Automatically rolls back to the last successful version c) Permanently stops the deployment process d) Requires manual intervention to fix issues **Answer:** b) Automatically rolls back to the last successful version --- ## AWS CodePipeline: Orchestrating CI/CD Workflows for Faster Software Delivery **13. What is AWS CodePipeline used for?** a) Automating the build, test, and deployment stages of CI/CD b) Writing and debugging application code c) Managing container orchestration d) Automating EC2 instance creation **Answer:** a) Automating the build, test, and deployment stages of CI/CD **14. Which services can AWS CodePipeline integrate with?** a) CodeCommit, CodeBuild, and CodeDeploy b) Amazon RDS and DynamoDB c) AWS CloudWatch and IAM d) AWS GuardDuty and WAF **Answer:** a) CodeCommit, CodeBuild, and CodeDeploy **15. What happens if a stage in CodePipeline fails?** a) The pipeline stops, and the issue must be fixed before proceeding b) The pipeline continues to the next stage c) The pipeline deletes all previous stages d) The pipeline automatically restarts from the first stage **Answer:** a) The pipeline stops, and the issue must be fixed before proceeding --- # Scenario Based Questions ## Understanding CI/CD: Overview, Benefits, and Real-World Use Cases ### **Scenario 1: Automating Deployments for a Growing Startup** *Your startup is releasing frequent updates to its web application, but manual deployment is leading to delays and errors. How can implementing CI/CD improve the process?* ### **Solution:** 1. **Implement Continuous Integration (CI)** – Developers push code changes to a shared repository (e.g., AWS CodeCommit). Automated tests run after each commit to catch errors early. 2. **Use Automated Builds** – AWS CodeBuild compiles and tests the code to ensure it is production-ready. 3. **Enable Continuous Deployment (CD)** – AWS CodeDeploy automates deployments to EC2 instances, ensuring fast and reliable releases. 4. **Monitor & Optimize** – AWS CodePipeline orchestrates the workflow, reducing manual intervention and speeding up delivery. --- ## AWS CodeCommit: Secure and Scalable Source Control for CI/CD ### **Scenario 2: Migrating from a Local Git Repository to AWS CodeCommit** *Your company stores its source code in a local Git server, but managing access and scaling is becoming a challenge. How can AWS CodeCommit help?* ### **Solution:** 1. **Create a CodeCommit Repository** – Set up a new private repository in AWS CodeCommit. 2. **Migrate Code** – Use `git remote add` and `git push` to move existing repositories to CodeCommit. 3. **Secure Access** – Configure IAM policies and AWS authentication (SSH/HTTPS) for developer access control. 4. **Integrate with CI/CD** – Connect AWS CodeCommit to CodePipeline, triggering automated builds and deployments. --- ## AWS CodeBuild: Automating Build and Test Processes in CI/CD ### **Scenario 3: Running Automated Tests for a Web Application** *A team wants to ensure that their Node.js application is automatically built and tested before deployment. How can AWS CodeBuild help?* ### **Solution:** 1. **Define a Build Specification** – Create a `buildspec.yml` file to define build commands and tests. 2. **Configure AWS CodeBuild** – Set up a build project with the source repository (AWS CodeCommit/GitHub). 3. **Run Automated Tests** – CodeBuild executes unit tests, ensuring code quality. 4. **Deploy if Successful** – Integrate CodeBuild with CodeDeploy to automatically deploy only if tests pass. --- ## AWS CodeDeploy: Streamlining Application Deployment Across Environments ### **Scenario 4: Deploying a New Application Version with Zero Downtime** *Your team wants to deploy a new version of a web application while ensuring zero downtime. How can AWS CodeDeploy achieve this?* ### **Solution:** 1. **Choose a Deployment Strategy** – Use **Blue/Green Deployment** to shift traffic gradually. 2. **Configure CodeDeploy** – Set up CodeDeploy with an application, deployment group, and IAM roles. 3. **Monitor Deployment** – Use AWS CloudWatch Logs and AWS X-Ray for debugging and monitoring. 4. **Rollback if Needed** – If issues arise, CodeDeploy automatically reverts to the previous version. --- ## AWS CodePipeline: Orchestrating CI/CD Workflows for Faster Software Delivery ### **Scenario 5: Automating an End-to-End CI/CD Pipeline** *A development team wants to automate code commits, builds, testing, and deployments using AWS services. How can AWS CodePipeline help?* ### **Solution:** 1. **Define Pipeline Stages** – Create a pipeline with **Source, Build, Test, and Deploy** stages. 2. **Integrate AWS Services** – Use CodeCommit (source), CodeBuild (test/build), and CodeDeploy (deployment). 3. **Automate Workflow** – On every code push, CodePipeline triggers a full CI/CD process. 4. **Monitor and Optimize** – Use AWS CloudWatch for pipeline monitoring and logs.