Overview: The DevOps Deployment Pipelines
Preview
Lesson 1: AWS CodePipeline
Lesson 2: Continuous Integration Implementation Methodology
Lesson 3: Pipeline Stage Terminology and Procedures
Lesson 4: Setting up Continues Deployment and Delivery
Lesson 5: Creating Workflows for Continuous Integration
Lesson 6: AWS CodePipeline Process Executions
Lesson 7: Using CodePipeline coupled with CodeCommit and GitHub
Lesson 8: CloudWatch Configuration for Triggering Pipelines
Lesson 9: Working with Deployment Groups
Lesson 10: APIs for Pipeline Configuration: Actions and Data
Lesson 11: Features of Azure Pipelines
Lesson 12: Building CI/CD Pipeline
Lesson 13: Azure Pipelines Terminology and Components
Lesson 14: Azure Pipelines Job Types
Lesson 15: Using Azure Pipelines to create a GitHub repository
Lesson 16: Azure Pipelines: Clone, Import and Export
Lesson 17: Build Azure Pipelines by Adding Jobs
Lesson 18: Different Types of Trigger in Azure Pipelines
Lesson 19: Components of Azure Pipelines Ecosystem
Lesson 20: Types of Deployment Environments
Lesson 21: Using Azure VMs and Setting Up an Environment
Lesson 22: Using Azure Pipelines to Create Container Images
Lesson 23: Azure Pipelines Artifact Types
Lesson 24: DevOps Pipeline Products of GCP
Lesson 25: Google's CI Implementation Strategy
Lesson 26: Advantages of GCP Approach for Continuous Delivery
Lesson 27: Cloud Build Setup and Configuration
Lesson 28: Working with Cloud Build GitHub App
Lesson 29: GCP Cloud Components & Cloud Source Repo Benefits
Lesson 30: Implementation Methodologies for CI/CD Pipelines
Lesson 31: Google's Automated Deployment Recommendation
Case Study: Monitoring and management with Amazon QuickSight and Athena in your CICD pipeline