Google Cloud Platform
Google Cloud Platform (GCP) is Google's suite of cloud computing services. It offers infrastructure, AI/ML services, databases, networking, and developer tools for building and scaling applications. For AI-powered web applications, GCP provides access to Vertex AI, Cloud Run, Cloud SQL, Firebase, and other services.
Key Services for Web Developers
Compute
- Cloud Run: Serverless container hosting — deploy Docker containers without managing servers
- Cloud Functions: Event-driven serverless functions (similar to AWS Lambda)
- App Engine: Fully managed application platform
AI and Machine Learning
- Vertex AI: Enterprise ML platform with Gemini model access
- Cloud Vision AI: Image analysis and OCR
- Cloud Natural Language: Text analysis and sentiment detection
- Cloud Translation: Translate text between languages
Databases
- Cloud SQL: Managed PostgreSQL, MySQL, and SQL Server
- Firestore: NoSQL document database (Firebase backend)
- Cloud Spanner: Globally distributed relational database
- BigQuery: Serverless data warehouse for analytics
Storage and CDN
- Cloud Storage: Object storage for files and media
- Cloud CDN: Content delivery network for low-latency access
Getting Started
1. Create a Project
Visit the Google Cloud Console and create a new project.
2. Install the CLI
# Install gcloud CLI
curl https://sdk.cloud.google.com | bash
gcloud init
gcloud auth application-default login
3. Set Environment Variables
GOOGLE_CLOUD_PROJECT=your-project-id
GOOGLE_APPLICATION_CREDENTIALS=/path/to/service-account.json
Deploying a Next.js App to Cloud Run
# Build and deploy
gcloud run deploy my-app \
--source . \
--region us-central1 \
--allow-unauthenticated
Best Practices
- Use IAM roles with least-privilege access for service accounts
- Enable billing alerts to avoid unexpected charges
- Use Secret Manager for API keys instead of environment variables
- Choose the region closest to your users for lower latency