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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