Google Cloud Tutorial with Examples.
Google Cloud tutorial with examples: GKE, BigQuery, Cloud Run, Cloud Storage, Pub/Sub and core GCP architecture patterns.
Architecture at a glance
Click any box to open the lesson that teaches it
GCP architecture at a glance
gcloud → IAM → VPC → Compute Engine / Cloud Run & Functions → Storage / SQL, watched by Monitoring
How it fits together (5 steps)
- Every call starts from gcloud, initialized and confirmed against the right project before anything runs — every VM, bucket, and database belongs to exactly one project.
- That call only works as far as its IAM role allows: a service account with no binding gets a real
PERMISSION_DENIEDuntil a role is granted — a permission is one fine-grained action, a role is a named bundle of them. - Compute lives inside a VPC, where a firewall rule has to allow a port before anything reaches a subnet, independently of whether the instance has a public IP. Compute Engine runs a VM you SSH into once port 22 is open; Cloud Run and Cloud Functions run the same kind of code with no server to manage, at the cost of a cold start that can be an order of magnitude slower than a warm request.
- Both call the data layer: Cloud Storage holds objects in a bucket across Standard, Nearline, Coldline and Archive classes, and Cloud SQL runs a managed Postgres instance reached through the Auth Proxy's encrypted tunnel, without allow-listing an IP.
- Two services wrap the whole stack: Terraform applies a config as one plan-then-apply step, tracked in a state file, and Cloud Monitoring collects the metrics and log-based alerting that watch it while it runs. Cost and Billing, checked against the Architecture Framework's five pillars, is the last step before calling it production-ready.
Beginner
Start here — no prior experience needed
Introduction to Google Cloud Platform
Create a free-tier GCP account, understand the project and billing-account model, and get gcloud authenticated against a real project.
GCP IAM: Roles and Service Accounts
Create a service account, watch it fail with PERMISSION_DENIED, then grant exactly the role it needs — the real workflow behind every GCP access error.
Compute Engine Fundamentals
Create a Compute Engine VM from the command line, open a firewall rule for SSH, and connect to it — the smallest complete GCP virtual machine workflow.
Cloud Storage Fundamentals
Create a bucket, upload and download objects with gcloud storage, and compare storage classes with real per-GB pricing and retrieval costs.
Intermediate
For developers with core concepts down
GCP VPC Networking Basics
Build a custom VPC with a subnet and firewall rules, then debug the classic case of a VM with a public IP that still can't reach the internet.
Cloud SQL Basics
Provision a managed Cloud SQL Postgres instance, connect with the Cloud SQL Auth Proxy, and run a real backup and restore cycle.
Cloud Run and Cloud Functions Fundamentals
Deploy a real Cloud Run service and a Cloud Function from source, invoke both, and measure the actual cold-start versus warm-invocation latency gap.
Infrastructure as Code on GCP
Write a minimal Terraform config for a GCP bucket and VM, run a real terraform apply, and read a genuine failed-apply error end to end.
Cloud Monitoring Basics
Read a Compute Engine metric with gcloud, turn a log pattern into a log-based metric, and wire both into a real alerting policy.
Advanced
Production-grade patterns for experienced engineers