This blog series is designed to take you on a journey through Google Cloud Platform, starting from foundational knowledge and moving toward advanced, production-grade implementations.
Stage 1: Getting Started with GCP
- 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
Stage 2: Core GCP Services
- Understanding IAM & Service Accounts in GCP
Roles, principles, least privilege, service accounts - Cloud Storage Deep Dive: Buckets, Objects, and Lifecycle Rules
Storage classes, signed URLs,gsutilbasics - Networking 101 in GCP: VPC, Subnets, Firewalls
VPC architecture, peering, NAT, load balancing - Cloud SQL & Cloud Spanner for Relational Databases
Deploy MySQL/PostgreSQL, backups, replicas - Logging & Monitoring with Cloud Operations
Logs Explorer, Metrics, Alerts, Dashboards
Stage 3: Tooling & Automation
- CI/CD with Cloud Build & Cloud Deploy
Pipeline setup, Docker build, GitHub triggers - Artifact Registry for Docker Images
Create repo, push/pull images, secure with IAM - Infrastructure as Code with Terraform on GCP
Deploy infrastructure using Terraform - Secrets Management on GCP: Secret Manager
Store and retrieve secrets securely - Cloud Scheduler & Cloud Tasks: Serverless Cron Jobs
Scheduled tasks, HTTP target, retry policies
Stage 4: Kubernetes with GKE
- Intro to GKE: Google Kubernetes Engine Overview
GKE vs self-managed, auto-scaling, node pools - Deploying a Microservice on GKE
Deployment YAML, service, ingress controller - CI/CD for GKE with GitHub Actions + Cloud Build
Automate build & deploy pipelines - Securing GKE Workloads
Pod security, RBAC, Workload Identity - Monitoring and Autoscaling GKE Clusters
HPA, metrics-server, observability tools
Stage 5: Advanced Practices
- Setting Up a Production-Ready VPC Architecture
Multi-region setup, Shared VPC, Private Service Access - Multi-environment CI/CD on GCP
Promotion pipelines, environment isolation - Using GCP Load Balancers & Cloud Armor
Traffic splitting, SSL, WAF protection - High Availability & Disaster Recovery on GCP
Backups, failover, regional vs multi-regional - Cost Optimization Strategies on GCP
Budgets, committed use discounts, cost visibility
Stage 6: Real Projects & Case Studies
- Deploying a Full-Stack App on GCP
Cloud Run backend, Firestore DB, Cloud Storage assets - Terraform + GitHub Actions + GKE: Complete CI/CD Pipeline
End-to-end deployment workflow - Serverless Event-Driven App with Pub/Sub + Cloud Functions
Event triggers, fan-out architecture - Secure API Gateway with Identity-Aware Proxy
Protect access with OAuth and IAP - Observability Case Study: From Logs to Metrics to Alerts
End-to-end troubleshooting with Cloud Operations
Bonus Topics
- Managing Hybrid Cloud with Anthos
- Using BigQuery for Log Analytics
- Integrating GCP with GitHub/GitLab CI
- Migrating from AWS to GCP: Step-by-step
- Common GCP Interview Questions & Answers
Each post will contain practical code samples, diagrams, and actionable insights to help build cloud-native applications and infrastructure efficiently.
0 Comments