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Slide 1: Title Slide
Title: Introduction to AWS CodePipeline
Subtitle: "Continuous Integration and Continuous Delivery (CI/CD) in the Cloud"
Your Name
Date
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Slide 2: What is AWS CodePipeline?
Definition: AWS CodePipeline is a fully managed CI/CD service that automates building, testing, and deploying code changes.
Key Features:
Continuous integration and delivery
Automated workflow
Integrates with other AWS services (CodeBuild, CodeDeploy, etc.)
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Slide 3: Benefits of AWS CodePipeline
Automation: Automates the entire software release process.
Scalability: Scales with your project requirements.
Integration: Works seamlessly with other AWS services.
Version Control Support: Integrates with GitHub, Bitbucket, AWS CodeCommit.
Security: AWS IAM integration ensures security.
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Slide 4: CodePipeline Architecture
Stages of the Pipeline:
1. Source: The starting point (CodeCommit, GitHub).
2. Build: Compile and test the code (AWS CodeBuild).
3. Test: Run automated tests (CodeBuild or third-party tools).
4. Deploy: Deploy the code to staging/production (AWS CodeDeploy, ECS, Lambda).
Actions: Defines tasks within each stage.
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Slide 5: Key Components
Source Repository: Where the code resides (AWS CodeCommit, GitHub, etc.).
Actions: Tasks performed in each stage (e.g., build, test, deploy).
Artifacts: Output from one action that serves as input for another.
Pipeline: The sequence of stages and actions.
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Slide 6: Example CodePipeline Workflow
Diagram of CodePipeline Workflow:
Source → Build → Test → Deploy (with action details).
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Slide 7: How to Create a CodePipeline
1. Create a Pipeline: Define the pipeline name.
2. Choose Source: Select the repository (CodeCommit, GitHub).
3. Add Build Stage: Set up AWS CodeBuild.
4. Add Deploy Stage: Select deployment target (e.g., CodeDeploy, ECS).
5. Review and Create: Final check before creating the pipeline.
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Slide 8: Integrating AWS CodePipeline with Other AWS Services
AWS CodeBuild: Compile and test code.
AWS CodeDeploy: Deploy applications to EC2, Lambda, or ECS.
AWS Lambda: Custom logic in the pipeline.
AWS CloudWatch: Monitor pipeline activities and errors.
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Slide 9: CodePipeline Use Cases
Automated CI/CD Pipeline: Build, test, and deploy applications automatically.
Multi-Environment Deployment: Deploy to dev, staging, and production environments.
Blue/Green Deployment: Minimize downtime with zero-downtime deployments.
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Slide 10: Best Practices for Using CodePipeline
Use Multiple Stages: Separate build, test, and deploy processes.
Monitor and Troubleshoot: Use CloudWatch and SNS for alerts.
Keep Stages Modular: Make each stage responsible for one task.
Version Control Integration: Ensure tight integration with GitHub or AWS CodeCommit.
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Slide 11: Cost Considerations
Pipeline Costs: Charges are based on the number of pipeline executions.
Other Costs: Charges for CodeBuild, CodeDeploy, and other AWS services used.
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Slide 12: Conclusion
AWS CodePipeline helps streamline the development lifecycle by automating the entire CI/CD process.
It integrates with many AWS services, making it flexible for various use cases.
Best for teams looking to automate their software release process and improve productivity.
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Slide 13: Q&A
Thank You!
Open floor for questions.
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