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Google Cloud Platform (GCP)

Google's suite of cloud computing services running on the same infrastructure that Google uses for its products.

Learning Path​

Start your GCP journey with this structured learning path:

StepTopicDescription
1FundamentalsGlobal infrastructure, core services, resource hierarchy, billing, and IAM
2Architecture & DevOpsLanding zones, CI/CD, deployment patterns, microservices, GKE, networking
3Exam PreparationAssociate Cloud Engineer and Professional Cloud Architect exam guides
4Cheatsheet80+ gcloud CLI commands organized by service
5Interview Questions40+ GCP interview questions with detailed answers

Core Services​

CategoryServices
ComputeCompute Engine, GKE, Cloud Run, Cloud Functions
StorageCloud Storage, Persistent Disk, Filestore
DatabasesCloud SQL, Firestore, Bigtable, Spanner
DataBigQuery, Dataflow, Pub/Sub
AI/MLVertex AI, AutoML, TensorFlow

Certification Path​

  1. Cloud Digital Leader
  2. Associate Cloud Engineer
  3. Professional Cloud Architect
  4. Professional Cloud DevOps Engineer
  5. Professional Data Engineer

External Resources​

ResourceLink
Google Cloud Skills Boostcloudskillsboost.google
GCP Architecture Centercloud.google.com/architecture
Google Cloud Documentationcloud.google.com/docs
Google Cloud Consoleconsole.cloud.google.com
Cloud SDK Downloadcloud.google.com/sdk
GCP Pricing Calculatorcloud.google.com/products/calculator

Quick Start​

Get started with GCP in minutes:

# Install Google Cloud SDK
# Visit: https://cloud.google.com/sdk/docs/install

# Initialize gcloud
gcloud init

# Set your default project
gcloud config set project PROJECT_ID

# Create a Compute Engine instance
gcloud compute instances create my-instance \
--image-family ubuntu-2004-lts \
--image-project ubuntu-os-cloud \
--zone us-central1-a

# Connect via SSH
gcloud compute ssh my-instance --zone us-central1-a

Key Concepts​

Global Infrastructure​

  • Regions: Geographic areas containing multiple zones
  • Zones: Individual data centers within a region
  • Multi-region: Resources distributed across regions for high availability

Identity and Access Management (IAM)​

  • Roles: Bundles of permissions (Basic, Predefined, Custom)
  • Service Accounts: Identity for applications and services
  • Members: Users, service accounts, groups, and domains
  • Policies: Bind members to roles with conditions

Resource Hierarchy​

Organization
├── Folder
│ ├── Project A
│ │ ├── Compute Engine VM
│ │ ├── Cloud Storage Bucket
│ │ └── Service Accounts
│ └── Project B
└── Folder
└── Project C

Microservices on Cloud Run​

  • Auto-scaling to zero
  • Deploy containers without managing infrastructure
  • Pay only for actual usage

Kubernetes with GKE​

  • Managed Kubernetes service
  • Auto-scaling, networking, security
  • Integrated with GCP services

Data Analytics with BigQuery​

  • Serverless data warehouse
  • Query massive datasets in seconds
  • Integrated analytics and visualization

Event-Driven Architecture​

  • Pub/Sub for decoupled messaging
  • Cloud Functions for event handlers
  • Dataflow for streaming processing

Community and Support​

Tips for Success​

  1. Use the Free Tier: $300 credit for 90 days + always-free services
  2. Enable APIs: Most services require API enablement
  3. Use IAM: Implement least privilege from the start
  4. Monitor Costs: Set up billing alerts and budgets
  5. Practice: Use Cloud Skills Boost for hands-on labs
  6. Read Documentation: GCP docs are comprehensive and regularly updated
  7. Join Community: Learn from others' experiences and best practices