Multi-Cloud Documentation Index

Quick access to all multi-cloud guides

🚀 Start Here (Choose Your Path)

Path 1: "Just deploy to one cloud quickly"

1. Pick cloud: GCP (cheapest) vs AWS (best docs) vs Azure (enterprise)
2. Read: [Multi-Cloud Deployment Guide](06.01-multicloud-deployment.md) — find your cloud section
3. Copy-paste: Commands in that section
4. Run: docker-compose up
Time: 40 minutes

Path 2: "I want to avoid vendor lock-in"

1. Read: [Multi-Cloud MCP Servers](06-multi-cloud-mcp.md)
2. Understand: Abstract factory pattern
3. Read: [Cloud Equivalency Reference](Cloud-Equivalency-Reference.md)
4. Deploy: Follow [Multi-Cloud Deployment Guide](06.01-multicloud-deployment.md) for your cloud
Time: 2 hours

Path 3: "I want to understand everything"

1. Read: [Multi-Cloud MCP Servers](06-multi-cloud-mcp.md) — architecture
2. Read: [Cloud Equivalency Reference](Cloud-Equivalency-Reference.md) — service mapping
3. Read: [Multi-Cloud Deployment Guide](06.01-multicloud-deployment.md) — step-by-step
4. Read: [Complete Summary](MULTICLOUD-COMPLETE-SUMMARY.md) — overview
Time: 3 hours

📚 All Multi-Cloud Guides

1. Multi-Cloud MCP Servers

What: How to write cloud-agnostic MCP servers Contains: - Abstract SecretsProvider (AWS/GCP/Azure implementations) - Abstract LLMProvider (Bedrock/Vertex/OpenAI implementations) - Abstract EmbeddingsProvider (Titan/Gecko/Ada implementations) - Complete JIRA MCP server code (cloud-agnostic) - Complete GitHub MCP server code (cloud-agnostic) - Docker setup for all clouds - Code examples you can copy-paste

Read when: Understanding the pattern

Time: 20 minutes

2. Multi-Cloud Deployment Guide

What: Step-by-step deployment to AWS, GCP, or Azure Contains: - AWS: Secrets Manager → RDS → ECR → ECS (complete commands) - GCP: Secret Manager → Cloud SQL → Artifact Registry → Cloud Run (complete commands) - Azure: Key Vault → Azure DB → ACR → Container Apps (complete commands) - IAM/Auth setup for each cloud - Cost comparison - Migration checklist

Read when: Ready to deploy

Time: 30 minutes reading + 40 minutes setup

3. Cloud Equivalency Reference

What: AWS ↔ GCP ↔ Azure service mapping Contains: - Service comparison table (15+ services) - Pricing breakdown per component - Code templates (identical patterns) - Environment variables per cloud - Common pitfalls

Read when: Need to quickly map services

Time: 10 minutes

4. Complete Summary

What: Overview of everything you got Contains: - What was delivered - Code examples - Architecture pattern - Quick start paths - Benefits summary

Read when: Getting oriented

Time: 5 minutes

🎯 By Cloud

AWS Deployment

Primary guide: Multi-Cloud Deployment Guide → AWS section Reference: 07-mcp-servers.md (original AWS-specific guide) Architecture: ECS Fargate (managed) or EKS (Kubernetes) Cost: $211/month Time: 1 hour setup

GCP Deployment

Primary guide: Multi-Cloud Deployment Guide → GCP section Architecture: Cloud Run (serverless) or GKE (Kubernetes) Cost: $148/month ✅ CHEAPEST Time: 40 minutes setup ✅ FASTEST

Azure Deployment

Primary guide: Multi-Cloud Deployment Guide → Azure section Architecture: Container Apps (simple) or AKS (Kubernetes) Cost: $232/month Best for: Microsoft ecosystem + Azure AD integration Time: 1 hour setup

🔄 Switching Clouds

  1. Export database: pg_dump all vectors
  2. Update env vars (3 lines)
  3. Redeploy (5 mins)
  4. Import database (depends on size)
  5. Test agent (5 mins)

Total: 30 minutes (mostly database transfer)

Code changes: ZERO ✅

💰 Cost Comparison

Cloud LLM Embeddings Database Compute Total
AWS $5 $1 $50 $150 $211
GCP $3 $0.30 $40 $100 $148
Azure $6 $1 $70 $150 $232

Winner: GCP (30% cheaper)

📖 Reading Guide

If you have 5 minutes

→ Read Cloud Equivalency Reference (pricing table)

If you have 15 minutes

→ Read Complete Summary

If you have 30 minutes

→ Read Cloud Equivalency Reference + skim Multi-Cloud MCP Servers

If you have 1 hour

→ Read Multi-Cloud MCP Servers + Cloud Equivalency Reference

If you have 2 hours

→ Read everything in order: MCP Servers → Equivalency → Deployment → Summary

If you want to code now

→ Jump to Multi-Cloud Deployment Guide (your cloud section) and copy-paste

❓ FAQ

Which cloud should I choose?

GCP: Cheapest + fastest deployment (recommended for MVP) AWS: Best documentation + most features Azure: Best for enterprise + Microsoft ecosystem

Can I run the same code on all clouds?

Yes. Environment variables only difference.

How hard is it to switch clouds?

~30 minutes. No code changes.

Can I run on multiple clouds simultaneously?

Yes, but requires multi-cloud routing logic. Not recommended for MVP.

Do I need to worry about vendor lock-in?

No. Abstract pattern prevents it. Data lives in standard PostgreSQL + pgvector (any cloud).

Original Documents (Still Valid)

MCP vs Direct API (Previous Request)

📊 Decision Tree: Pick Your Cloud

Do you already use AWS?
├─ YES → AWS (leverage existing infrastructure)
└─ NO → Next question

Does your team know GCP?
├─ YES → GCP (familiar tools)
└─ NO → Next question

Is cost critical?
├─ YES → GCP (30% cheaper)
└─ NO → Next question

Do you need Azure AD integration?
├─ YES → Azure
└─ NO → Pick any (GCP recommended)

✅ What You Can Do

  • ✅ Deploy to AWS/GCP/Azure with identical agent code
  • ✅ Switch clouds by changing environment variables
  • ✅ Avoid vendor lock-in (abstract factory pattern)
  • ✅ Compare costs between clouds
  • ✅ Scale from 1 cloud to 3 clouds
  • ✅ Migrate data between clouds

📝 Checklist: Getting Started

Choose a cloud: - [ ] AWS, GCP, or Azure?

Set up credentials: - [ ] Open Multi-Cloud Deployment Guide - [ ] Find your cloud section - [ ] Copy-paste commands

Deploy: - [ ] Run docker-compose - [ ] Verify agent works

Optional: Understand the pattern - [ ] Read Multi-Cloud MCP Servers - [ ] Read Cloud Equivalency Reference

🚀 Next Steps

  1. Choose cloud: Cloud Equivalency Reference (cost table)
  2. Deploy: Multi-Cloud Deployment Guide (your cloud section)
  3. Run: Copy-paste commands
  4. Test: Agent should work immediately

Time to running: 40 minutes

Start with the guide that matches your choice: - Multi-Cloud Deployment Guide — AWS section - Multi-Cloud Deployment Guide — GCP section - Multi-Cloud Deployment Guide — Azure section