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

This article provides a step by step comparison of the same research agent built three times, on Google ADK, AWS Strands and Microsoft Agent Framework, all three speaking A2A to one coordinator. The code is here: github.com/xbill9/multicloud-a2a-subagent What is this project trying to Do? This project aims to find out what actually differs between the three hyperscalers' agent frameworks once the…

This comparison project examines the same research agent deployed on Google ADK, AWS Strands, and Microsoft Agent Framework, all speaking the A2A protocol. The project aims to identify differences between the three hyperscaler agent frameworks once the protocol is in place. It emphasizes that A2A provides a common language for agent interoperability and outlines the components and configurations of the agent on each cloud platform.

Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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Mix and Match: Serving an ADK Agent to AWS and Azure

This article provides a step by step look at running a Google ADK agent on Cloud Run, and serving it over the A2A protocol to callers that are not ADK.

  • Google ADK agent deployed on Cloud Run
  • A2A protocol enables inter-agent communication
  • Server card provides public HTTPS endpoint

Why this blog exists

Originally published on Loop & Retry — field notes on building LLM agents that survive production. Most writing about LLM agents is either a demo that works once on stage or a thread promising the…

  • Loop & Retry blog fills gap between demos and tech singularity claims
  • Author focuses on realistic agent deployment with unexpected issues
  • Posts demonstrate failing version and subsequent fixes with measured data

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