Pipeline Automation

Discipline: Cloud & DevOps Engineer | Module: Module 2: Continuous Integration / Continuous Deployment (CI/CD) & Containers | Estimated Study Time: 33 Hours

Welcome to Pipeline Automation. This topic delivers foundational and advanced concepts designed for production engineering and real-world workflows.

Key Learning Objectives

1. Core Concepts (Continuous Integration vs. Continuous Deployment vs. Continuous Delivery)
2. Pipeline Implementations (GitHub Actions Workflows, GitLab CI Pipelines, Jenkinsfiles)

Detailed Curriculum Breakdown

Core Concepts (Continuous Integration vs. Continuous Deployment vs. Continuous Delivery)

Explore the fundamental principles, real-world patterns, and best practices for Core Concepts (Continuous Integration vs. Continuous Deployment vs. Continuous Delivery). Practice hands-on implementations to master these concepts.

// Code Example: Core Concepts (Continuous Integration vs. Continuous Deployment vs. Continuous Delivery)
// Implement verified patterns for production use
console.log("Mastering Core Concepts (Continuous Integration vs. Continuous Deployment vs. Continuous Delivery)");

Pipeline Implementations (GitHub Actions Workflows, GitLab CI Pipelines, Jenkinsfiles)

Explore the fundamental principles, real-world patterns, and best practices for Pipeline Implementations (GitHub Actions Workflows, GitLab CI Pipelines, Jenkinsfiles). Practice hands-on implementations to master these concepts.

// Code Example: Pipeline Implementations (GitHub Actions Workflows, GitLab CI Pipelines, Jenkinsfiles)
// Implement verified patterns for production use
console.log("Mastering Pipeline Implementations (GitHub Actions Workflows, GitLab CI Pipelines, Jenkinsfiles)");

Practical Application & Exercises

1. Architecture Review: Evaluate how Pipeline Automation integrates with upstream and downstream systems.
2. Implementation Challenge: Build a functional prototype demonstrating each of the subtopics.
3. Validation & Testing: Verify performance and error handling under edge-case scenarios.

Summary Checklist

• Studied foundational architecture for Pipeline Automation
• Completed practical coding challenge
• Validated edge cases and error handling routines