Transform Yourself into a Job-Ready Google Cloud DevOps Engineer

The Google Cloud (GCP) DevOps Master Handbook is a complete practical guide designed for DevOps Engineers, Cloud Engineers, Platform Engineers, SREs, and Infrastructure Engineers who want to master Google Cloud Platform from beginner to enterprise level.

This handbook follows a structured learning path covering cloud infrastructure, networking, Kubernetes, CI/CD, Infrastructure as Code, monitoring, production troubleshooting, and interview preparation.

What You'll Learn

Introduction to Google Cloud

• What is GCP?
• Why GCP for DevOps?
• GCP vs AWS vs Azure
• Global Infrastructure
• Regions & Zones
• Projects
• Resource Hierarchy
• Billing Account
• Free Tier

GCP Account Setup

• Google Cloud Console
• Cloud Shell
• APIs & Services
• IAM Dashboard
• Billing Dashboard
• Service Accounts
• Project Creation
• API Enablement

Resource Hierarchy

• Organization
• Folders
• Projects
• Resources
• Labels
• Tags
• Quotas
• Billing Separation
• Environment Structure

Identity & Access Management (IAM)

• IAM Fundamentals
• Principals
• Roles
• IAM Policies
• Basic Roles
• Predefined Roles
• Custom Roles
• Least Privilege
• IAM Conditions

Service Accounts

• Service Accounts
• User vs Service Account
• Service Account Keys
• Workload Identity
• Service Account Impersonation
• Keyless Authentication
• Best Practices

GCP Networking

• VPC
• Subnets
• Firewall Rules
• Routes
• Private vs Public IP
• Shared VPC
• Cloud NAT
• VPC Peering
• Cloud VPN
• Cloud Interconnect
• Cloud DNS
• Load Balancers
• Network Security

Compute Engine

• Virtual Machines
• Machine Types
• Boot Disk
• Persistent Disks
• Startup Scripts
• Instance Templates
• Managed Instance Groups
• Autoscaling
• Health Checks
• OS Login
• Patch Management
• Snapshots
• Rolling Updates
• VM Troubleshooting

Cloud Storage

• Buckets
• Objects
• Storage Classes
• Lifecycle Policies
• Versioning
• IAM Permissions
• Signed URLs
• Static Website Hosting
• Backup Strategies

Artifact Registry

• Docker Repository
• Maven Repository
• npm Repository
• Python Repository
• Image Storage
• Image Promotion
• Vulnerability Scanning
• Image Tagging

Docker on GCP

• Docker Image Build
• Docker Push
• Artifact Registry Authentication
• Image Pull
• Image Tagging
• Dev → QA → Prod Promotion
• Container Security

Google Kubernetes Engine (GKE)

• GKE Basics
• Standard Cluster
• Autopilot Cluster
• Cluster Architecture
• Control Plane
• Worker Nodes
• Node Pools
• Pods
• Deployments
• Services
• Ingress

GKE Workloads

• Deployment
• StatefulSet
• DaemonSet
• Jobs
• CronJobs
• ConfigMaps
• Secrets
• Persistent Volumes
• Persistent Volume Claims

GKE Networking

• ClusterIP
• NodePort
• LoadBalancer
• Ingress
• Gateway API
• Network Policies
• Service Discovery
• CoreDNS
• Pod-to-Pod Communication

GKE Security

• RBAC
• IAM with GKE
• Workload Identity
• Private Cluster
• Shielded Nodes
• Binary Authorization
• Image Scanning
• Pod Security
• Secret Management

GKE Autoscaling

• Horizontal Pod Autoscaler (HPA)
• Vertical Pod Autoscaler (VPA)
• Cluster Autoscaler
• Node Auto Provisioning
• Resource Requests
• Resource Limits
• Cost Optimization

GKE Production Troubleshooting

• CrashLoopBackOff
• ImagePullBackOff
• Pending Pods
• OOMKilled
• Node Not Ready
• Service Connectivity Issues
• Ingress Errors
• DNS Issues
• Storage Mount Problems

Cloud Run

• Cloud Run Basics
• Serverless Containers
• Revisions
• Traffic Splitting
• Auto Scaling
• Scale to Zero
• Environment Variables
• Secret Integration
• Cloud Run vs GKE

Cloud Build

• Cloud Build Fundamentals
• Build Triggers
• Build Steps
• cloudbuild.yaml
• Build Logs
• Build Artifacts
• Docker Build
• Artifact Registry Integration
• CI Pipeline Workflow

Cloud Deploy

• Cloud Deploy Fundamentals
• Delivery Pipelines
• Targets
• Releases
• Rollouts
• Promotion Strategy
• Rollback
• Deployment Automation

Terraform on GCP

• Terraform Basics
• Providers
• Variables
• Outputs
• State File
• Remote State
• Modules
• VPC Provisioning
• Compute Provisioning
• GKE Provisioning
• Cloud Storage
• IAM Automation
• Best Practices

CI/CD on Google Cloud

• Cloud Build
• Cloud Deploy
• Artifact Registry
• Git Integration
• Build Automation
• Release Automation
• Rollback Strategy
• Production Deployment
• End-to-End DevOps Workflow

Monitoring & Logging

• Cloud Monitoring
• Cloud Logging
• Metrics Explorer
• Log Explorer
• Dashboards
• Alert Policies
• Notification Channels
• SLI & SLO
• Uptime Checks

Security & Cost Optimization

• Cloud Armor
• Web Application Firewall (WAF)
• IAM Security
• Binary Authorization
• Budget Alerts
• Cost Optimization
• Committed Use Discounts
• Billing Best Practices

Infrastructure as Code

• Terraform with GCP
• Infrastructure Modules
• Resource Provisioning
• Remote State
• Automation
• Infrastructure Best Practices

Production Troubleshooting

• Compute Issues
• Network Issues
• Build Failures
• Deployment Failures
• Kubernetes Issues
• Monitoring Alerts
• Root Cause Analysis
• Production Best Practices

Interview Preparation

This handbook includes:

• Beginner to Advanced Interview Questions
• Scenario-Based Questions
• Real-Time Production Scenarios
• Troubleshooting Examples
• Architecture Discussions
• Final Revision

Why Choose This Handbook?

• Beginner to Expert Learning Path
• Production-Oriented Examples
• Real Enterprise Architectures
• Google Cloud Best Practices
• Hands-on DevOps Workflows
• Kubernetes & Serverless Coverage
• CI/CD Implementation
• Infrastructure as Code
• Monitoring & Security
• Interview-Focused Content

Perfect For

• Google Cloud Engineers
• DevOps Engineers
• Site Reliability Engineers (SRE)
• Cloud Engineers
• Platform Engineers
• Infrastructure Engineers
• Students Preparing for GCP DevOps Interviews

Format

PDF Handbook

Level

Beginner → Expert

One Handbook. One Complete Roadmap to Master Google Cloud DevOps.

Learn Google Cloud Platform from the fundamentals through infrastructure, networking, Compute Engine, GKE, Cloud Run, Cloud Build, Cloud Deploy, Terraform, monitoring, security, CI/CD, production troubleshooting, and interview-focused content using a practical, structured learning approach.

• By Abhishek Singh | Lead DevOps & SRE Engineer