This reference guide provides a comprehensive journey through Google Cloud Platform, starting from foundational knowledge and moving toward advanced, production-grade implementations.
1 - Getting Started with GCP
Foundation and setup essentials
1. Why Learn GCP? Google Cloud in the Real World
GCP vs AWS/Azure, use cases, GCP ecosystem overview
2. Setting Up Your GCP Project: Console, Billing & IAM Basics
GCP Console, project structure, billing account, IAM roles
3. Cloud Shell & SDK: Your GCP CLI Toolkit
Installing gcloud, Cloud Shell, authentication, useful commands
4. Compute Options on GCP: VM, App Engine, Cloud Run, Kubernetes
When to use Compute Engine vs Cloud Run vs GKE
5. Deploy Your First App: Hello World on Cloud Run & App Engine
Deploy a simple app with Cloud Run and App Engine
2 - Core GCP Services
Essential services and infrastructure
1. Understanding IAM & Service Accounts in GCP
Roles, principles, least privilege, service accounts
2. Cloud Storage Deep Dive: Buckets, Objects, and Lifecycle Rules
Storage classes, signed URLs, gsutil basics
3. Networking 101 in GCP: VPC, Subnets, Firewalls
VPC architecture, peering, NAT, load balancing
4. Cloud SQL & Cloud Spanner for Relational Databases
Deploy MySQL/PostgreSQL, backups, replicas
5. Logging & Monitoring with Cloud Operations
Logs Explorer, Metrics, Alerts, Dashboards
3 - Tooling & Automation
DevOps practices and automation
1. CI/CD with Cloud Build & Cloud Deploy
Pipeline setup, Docker build, GitHub triggers
2. Artifact Registry for Docker Images
Create repo, push/pull images, secure with IAM
3. Infrastructure as Code with Terraform on GCP
Deploy infrastructure using Terraform
4. Secrets Management on GCP: Secret Manager
Store and retrieve secrets securely
5. Cloud Scheduler & Cloud Tasks: Serverless Cron Jobs
Scheduled tasks, HTTP target, retry policies
4 - Kubernetes with GKE
Container orchestration mastery
1. Intro to GKE: Google Kubernetes Engine Overview
GKE vs self-managed, auto-scaling, node pools
2. Deploying a Microservice on GKE
Deployment YAML, service, ingress controller
3. CI/CD for GKE with GitHub Actions + Cloud Build
Automate build & deploy pipelines
4. Securing GKE Workloads
Pod security, RBAC, Workload Identity
5. Monitoring and Autoscaling GKE Clusters
HPA, metrics-server, observability tools
5 - Advanced Practices
Production-ready implementations
1. Setting Up a Production-Ready VPC Architecture
Multi-region setup, Shared VPC, Private Service Access
2. Multi-environment CI/CD on GCP
Promotion pipelines, environment isolation
3. Using GCP Load Balancers & Cloud Armor
Traffic splitting, SSL, WAF protection
4. High Availability & Disaster Recovery on GCP
Backups, failover, regional vs multi-regional
5. Cost Optimization Strategies on GCP
Budgets, committed use discounts, cost visibility
6 - Real Projects & Case Studies
Hands-on implementation projects
1. Deploying a Full-Stack App on GCP
Cloud Run backend, Firestore DB, Cloud Storage assets
2. Terraform + GitHub Actions + GKE: Complete CI/CD Pipeline
End-to-end deployment workflow
3. Serverless Event-Driven App with Pub/Sub + Cloud Functions
Event triggers, fan-out architecture
4. Secure API Gateway with Identity-Aware Proxy
Protect access with OAuth and IAP
5. Observability Case Study: From Logs to Metrics to Alerts
End-to-end troubleshooting with Cloud Operations
Google Cloud Platform Concepts
Compute Engine
App Engine
Cloud Run
GKE
Cloud Functions
Cloud Storage
Cloud SQL
Cloud Spanner
Firestore
VPC
Load Balancers
Cloud Armor
Cloud NAT
Cloud Build
Cloud Deploy
Artifact Registry
Terraform
Secret Manager
Cloud Scheduler
Cloud Tasks
IAM
Service Accounts
Identity-Aware Proxy
Workload Identity
Cloud Operations
Cloud Logging
Cloud Monitoring
Pub/Sub
Google Cloud Platform main concepts covered in this learning path
Each post will contain practical code samples, diagrams, and actionable insights to help build cloud-native applications and infrastructure efficiently.

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