Skip to main content
Technology areas
AI and ML
Application development
Application hosting
Compute
Data analytics and pipelines
Databases
Distributed, hybrid, and multicloud
Generative AI
Industry solutions
Networking
Observability and monitoring
Security
Storage
Cross-product tools
Access and resources management
Costs and usage management
Infrastructure as code
Migration
SDK, languages, frameworks, and tools
/
Console
English
Deutsch
Español
Español – América Latina
Français
Indonesia
Italiano
Português
Português – Brasil
中文 – 简体
中文 – 繁體
日本語
한국어
Sign in
Cloud Architecture Center
Start free
Technology areas
More
Cross-product tools
More
Console
< Architecture Center home
What's new
Fundamentals
Content overview
Well-Architected Framework
Overview
What's new
Pillars
Operational excellence
Overview
Ensure operational readiness and performance using CloudOps
Manage incidents and problems
Manage and optimize cloud resources
Automate and manage change
Continuously improve and innovate
View on one page
Security, privacy, and compliance
Overview
Implement security by design
Implement zero trust
Implement shift-left security
Implement preemptive cyber defense
Use AI securely and responsibly
Use AI for security
Meet regulatory, compliance, and privacy needs
Shared responsibility and shared fate
View on one page
Reliability
Overview
Define reliability based on user-experience goals
Set realistic targets for reliability
Build high availability through redundancy
Take advantage of horizontal scalability
Detect potential failures by using observability
Design for graceful degradation
Perform testing for recovery from failures
Perform testing for recovery from data loss
Conduct thorough postmortems
View on one page
Cost optimization
Overview
Align spending with business value
Foster a culture of cost awareness
Optimize resource usage
Optimize continuously
View on one page
Performance optimization
Overview
Plan resource allocation
Take advantage of elasticity
Promote modular design
Continuously monitor and improve performance
View on one page
Sustainability
View all the pillars on one page
Cross-pillar perspectives
AI and ML
Overview
Operational excellence
Security
Reliability
Cost optimization
Performance optimization
View on one page
Financial services industry (FSI)
Overview
Operational excellence
Security
Reliability
Cost optimization
Performance optimization
View on one page
Deployment archetypes
Overview
Zonal
Regional
Multi-regional
Global
Hybrid
Multicloud
Comparative analysis
What's next
Reference architectures
Single-zone deployment on Compute Engine
Regional deployment on Compute Engine
Multi-regional deployment on Compute Engine
Global deployment on Compute Engine and Spanner
Landing zone design
Landing zones overview
Decide identity onboarding
Decide resource hierarchy
Network design
Decide network design
Implement network design
Decide security
Enterprise foundations blueprint
Overview
Architecture
Authentication and authorization
Organization structure
Networking
Detective controls
Preventative controls
Deployment methodology
Operations best practices
Deploy the blueprint
AI and machine learning
Content overview
Agentic AI
Overview
Choose agentic architecture components
Choose an agent design pattern
Multi-agent AI system
Single-agent AI system using ADK and Cloud Run
Use cases
Administer interactive learning
Automate data science workflows
Orchestrate access to disparate systems
Generative AI
Generative AI with RAG
Overview
Private connectivity for RAG-capable generative AI applications
RAG infrastructure using Gemini Enterprise and Vertex AI
RAG infrastructure using Vertex AI and Vector Search
RAG infrastructure using Vertex AI and AlloyDB
RAG infrastructure using Vertex AI and Cloud SQL
RAG infrastructure using GKE and Cloud SQL
GraphRAG infrastructure using Vertex AI and Spanner Graph
Harness CI/CD pipeline for RAG applications
Deploy an enterprise generative AI and ML model
