Introduction of Cloud DevOps with GCP

Cloud DevOps is a modern approach to software development and operations, focused on automating and improving the lifecycle of applications, from development to deployment. Using Google Cloud Platform (GCP), teams can leverage powerful tools and services to implement Continuous Integration (CI), Continuous Delivery (CD), and automation practices. This course covers the fundamentals of implementing Cloud DevOps on GCP, focusing on setting up CI/CD pipelines, automating infrastructure, and using best practices to ensure rapid, reliable, and scalable software delivery.

Prerequisites

Before beginning this course, participants should have:

• A basic understanding of cloud computing and Google Cloud Platform (GCP).
• Experience with version control systems such as Git.
• Familiarity with containerization (Docker) and Kubernetes.
• Knowledge of software development practices, including deployment workflows.
• Some experience with command-line tools and scripting languages such as Bash or Python.
• Familiarity with DevOps principles and practices.

Table of Contents

1. Introduction to Cloud DevOps on Google Cloud
   1.1 What is DevOps?
   1.2 Key Benefits of Cloud DevOps
   1.3 Overview of Google Cloud Platform for DevOps
   1.4 Key GCP Services for DevOps
   1.5 Setting Up Your GCP Environment for DevOps
2. Continuous Integration (CI) with Google Cloud Platform
   2.1 Understanding Continuous Integration
   2.2 Setting Up Google Cloud Build for CI
   2.3 Creating and Configuring a Cloud Build Pipeline
   2.4 Integrating Cloud Source Repositories with Cloud Build
   2.5 Automating Tests in the CI Pipeline(Ref: Managing Kubernetes with Google Kubernetes Engine (GKE) on GCP)
   2.6 Troubleshooting Cloud Build Failures
3. Continuous Delivery (CD) with GCP
   3.1 What is Continuous Delivery?
   3.2 Using Google Kubernetes Engine (GKE) for CD
   3.3 Deploying Applications with Google Cloud Deploy
   3.4 Rolling Updates and Rollbacks in Kubernetes
   3.5 Automating CD Pipelines with Cloud Build and GKE
4. Infrastructure Automation with Google Cloud
   4.1 Introduction to Infrastructure as Code (IaC)
   4.2 Using Terraform with Google Cloud
   4.3 Managing Google Cloud Resources with Cloud Deployment Manager
   4.4 Automating Infrastructure Provisioning with Ansible
   4.5 Best Practices for IaC on Google Cloud
5. Monitoring and Logging in Cloud DevOps
   5.1 Setting Up Google Cloud Monitoring and Logging
   5.2 Integrating Google Cloud Operations Suite with CI/CD Pipelines
   5.3 Using Cloud Logging for DevOps Insights
   5.4 Cloud Monitoring Dashboards for CI/CD Pipelines
   5.5 Setting Up Alerts and Notifications
6. Automating Security in DevOps
   6.1 DevSecOps: Integrating Security into DevOps
   6.2 Implementing Identity and Access Management (IAM) for CI/CD
   6.3 Scanning Docker Images for Vulnerabilities
   6.4 Enforcing Security Policies in Google Cloud
   6.5 Automated Security Auditing and Compliance
7. Containerized DevOps Workflows with Google Kubernetes Engine (GKE)
   7.1 Introduction to Kubernetes and GKE
   7.2 Deploying Applications on GKE
   7.3 Managing Microservices with Kubernetes
   7.4 Implementing CI/CD for Kubernetes Applications
   7.5 Using Helm for Kubernetes Package Management
8. Scaling and Optimizing CI/CD Pipelines
   8.1 Scaling CI/CD Pipelines for Large Applications
   8.2 Optimizing Build Times with Parallel Execution
   8.3 Managing Dependencies and Artifacts Efficiently
   8.4 Using Cloud Build Triggers for Auto-Deployment
   8.5 Cost Optimization for CI/CD on Google Cloud
9. Best Practices for Cloud DevOps on GCP
   9.1 Continuous Integration Best Practices
   9.2 Automating Deployment and Rollbacks
   9.3 Ensuring High Availability and Disaster Recovery
   9.4 Managing Secrets and Configurations Securely
   9.5 Monitoring and Maintaining CI/CD Pipelines
10. Case Study: Implementing CI/CD Pipeline with GCP
    10.1 Setting Up a Full CI/CD Pipeline for a Web Application
    10.2 Automating Tests, Build, and Deployment to GKE
    10.3 Implementing Continuous Monitoring and Logging
    10.4 Scaling and Optimizing the CI/CD Pipeline
    10.5 Analyzing and Improving the Pipeline’s Performance

Conclusion

By the end of this course, you will have a solid understanding of how to implement Cloud DevOps practices using Google Cloud Platform. You’ll learn how to build and automate CI/CD pipelines with GCP services, manage infrastructure using Infrastructure as Code, and ensure security and monitoring throughout your DevOps workflows. These skills are essential for modern software development, ensuring faster, more reliable deployments, and optimized resource management in a cloud environment. With these tools and techniques, you’ll be able to deliver high-quality software quickly and efficiently, while maintaining scalability, security, and operational efficiency.

Reference