Mix and Match: One Agent, Three Clouds, One Protocol

8.3 relevance

Multi-cloud agent deployment with A2A protocol across Google ADK, AWS Bedrock, and Azure, perfectly matches the reader's interests in agent orchestration and cloud infrastructure.

AI/ML dev.to

Answer the board on AI readiness

Arrive with evidence, not opinion. See how your foundation benchmarks against your peers, get a clear read, and leave with a ranked place to start.

Why It Matters

For engineers building multi-agent systems, this demonstrates that A2A solves the wire-level handshake but leaves platform-specific tooling, hosting, and auth as the actual integration cost—critical knowledge when choosing between hyperscaler agent frameworks.

Key Takeaways

Isolate framework and model as the only variables when comparing agent platforms; standardize tools, instructions, and scoring to avoid conflating platform differences with model performance.

Mix and Match: One Agent, Three Clouds, One Protocol

Summary

A developer built the same research agent on Google ADK, AWS Bedrock (Strands), and Microsoft Agent Framework, then connected all three via the A2A protocol to a single coordinator. The project found that while A2A v1.0 handles cross-framework interoperability on the wire, the real differences lie in each platform's tool-binding API, credential mechanisms, and serving stack—not the protocol itself. To produce a valid comparison, the author controlled for everything except the framework and model, including using the same search tool across all three instead of each vendor's native retrieval.

Author

xbill