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AWS
AWS CodePipeline
AWS CodePipeline
Curriculum
10 Sections
40 Lessons
10 Weeks
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Introduction to AWS CodePipeline
4
1.0
What is AWS CodePipeline?
1.0
Key Benefits and Features of CodePipeline
1.0
Overview of the CI/CD Process in AWS
1.1
Understanding CodePipeline Architecture and Components
Setting Up Your First CodePipeline
4
2.0
Creating a CodePipeline: A Step-by-Step Guide
2.0
Configuring Source Repositories (GitHub, CodeCommit, S3)
2.0
Integrating with Build Services (AWS CodeBuild)
2.1
Deploying Applications with AWS CodeDeploy
Integrating AWS Services with CodePipeline
4
3.0
Using AWS CodeBuild for Continuous Integration
3.0
Deploying to AWS Elastic Beanstalk and AWS Lambda
3.0
Managing Artifacts and Versions in S3
3.0
Automating Tests with AWS Device Farm and Selenium
Working with Third-Party Services in CodePipeline
4
4.0
Integrating External Build Systems (Jenkins, TeamCity)
4.0
Deployment to Third-Party Platforms (GitHub Actions, Bitbucket Pipelines)
4.0
Using Webhooks and Custom Actions for Enhanced Functionality
4.1
Securing Third-Party Integrations with IAM and AWS Secrets Manager
Managing Pipelines and Deployments
4
5.0
Automating Deployment Strategies: Blue/Green and Canary Deployments
5.0
Implementing Manual Approvals and Notifications
5.0
Handling Pipeline State Changes and Revisions
5.0
Configuring Pipeline Stages and Actions
Monitoring and Troubleshooting CodePipeline
4
6.0
Using AWS CloudWatch for Monitoring Pipeline Metrics
6.0
Logging and Auditing with AWS CloudTrail
6.0
Troubleshooting Common Pipeline Issues and Errors
6.0
Best Practices for Pipeline Monitoring and Alerting
Advanced Features and Best Practices
4
7.0
Implementing Cross-Account Actions in CodePipeline
7.0
Securing Pipelines with IAM Policies and Roles
7.0
Optimizing Pipeline Performance and Reducing Latency
7.0
Managing Costs and Resources in CodePipeline
Automating Infrastructure as Code with CodePipeline
4
8.0
Integrating AWS CloudFormation with CodePipeline for Infrastructure Deployment
8.0
Continuous Delivery of Containerized Applications with ECS and EKS
8.0
Automating Multi-Region Deployments with CodePipeline
8.0
Case Study: End-to-End Automation with AWS CI/CD Tools
Real-World Scenarios and Use Cases
4
9.0
Deploying Microservices with CodePipeline and AWS Fargate
9.0
Implementing Security and Compliance Checks in Pipelines
9.0
Building a Serverless CI/CD Pipeline for Lambda Functions
9.0
Continuous Delivery for Mobile Applications with AWS CodePipeline
Future Trends in CI/CD and DevOps
4
10.0
Emerging Trends in Continuous Integration and Delivery
10.1
Integrating AI/ML in CI/CD Pipelines
10.2
Future Enhancements and Roadmap for AWS CodePipeline
10.3
Leveraging Automation and AI for DevOps Efficiency
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