CourseGenix

DevOps with GitHub Actions

6 Units26 Lessons

Unit 1

Introduction to GitHub Actions Workflows

Understanding GitHub Actions Workflows Basics

Real-World Project: Creating a Simple Workflow for Repository Events

Defining Events and Triggers in Workflows

Unit 2

Basic CICD

Configuring Simple CD Workflows

Running Builds and Deployments Basics

Monitoring Basic CI/CD Pipelines

Setting Up a Basic CI Pipeline

Real-World Project: Automating a Simple Application Deployment

Unit 3

Managing Secrets and Environments in CI/CD

Best Practices for Secret Management

Real-World Project: Securing a CI/CD Pipeline with Environments

Storing and Using Secrets in GitHub Actions

Configuring Environments for CI/CD Workflows

Unit 4

Automating Testing and Code Quality Checks

Integrating Automated Testing into Workflows

Setting Up Code Quality Checks

Using Linters and Static Analysis Tools

Running Unit and Integration Tests

Real-World Project: Automating a Full Testing Suite for an Application

Unit 5

Advanced Deployment Strategies with GitHub Actions

Implementing Blue-Green Deployment Strategies

Exploring Canary and Rolling Deployments

Optimizing Deployment Workflows for Scalability

Real-World Project: Deploying an Application with Advanced Strategies

Unit 6

Integrating GitHub Actions with Other DevOps Tools

Connecting GitHub Actions with Container Orchestration Tools

Linking with Monitoring and Logging Services

Integrating with Cloud Provider APIs

Real-World Project: Building an Integrated DevOps Pipeline

Handling API and Webhook Integrations

Unit 2•Chapter 5

Real-World Project: Automating a Simple Application Deployment

Summary

The key discussion centers on an AI's capability to summarize YouTube transcripts efficiently, outputting results in a specified JSON format without additional elements like quotations or escapes in fields. Instructions emphasize keeping summaries under 250 words, excluding sponsors or unrelated topics, and avoiding introductory phrases.

Concept Check

0/5

In automating application deployment, what is the main purpose of a CI/CD pipeline?

Focuses solely on documentation.

Increases deployment errors.

Automates building, testing, and deploying code changes.

Manual code reviews only.

Which tool is essential for containerizing applications in deployment automation?

Git for version control.

Kubernetes for orchestration.

Jenkins for CI/CD workflows.

Docker provides portable environments for applications.

What key challenge arises when scaling automated deployments?

Managing configuration drift in environments.

Increasing manual interventions.

Simplifying network setups.

Reducing automation scripts.

How does idempotency benefit deployment scripts?

Speeds up initial deployments.

Ensures repeated executions yield same result.

Reduces script complexity entirely.

Eliminates the need for testing.

In Kubernetes, what role does a Deployment object play?

Manages replica sets for application pods.

Handles persistent storage.

Configures network policies.

Monitors resource usage only.

PreviousSetting Up a Basic CI Pipeline