AI Agents Are the New Microservices & A2A Is Their HTTP(s)

Introduction

As enterprises race to deploy generative AI Apps/Agents, the hardest question isn't "which foundation model do we use?." it's "how do they safely talk to each other?"

If you spent the 2010s building distributed systems, the architectural blueprints emerging for enterprise AI will feel strangely familiar. Bounded contexts, service registries, async message queues, and distributed tracing are all back. The vocabulary is almost identical except our "services" now reason in natural language, call tools, and produce probabilistic, context-aware outputs instead of deterministic ones.

The Agent-to-Agent (A2A) Protocol is the open-standard transport and interface layer that makes this architectural analogy concrete. And ,the protocol now has support from more than 150 organizations including Salesforce, Microsoft, SAP, Workday, PayPal, and LangChain.

Just as HTTP/REST became the lingua franca of Microservice communication, A2A (now hosted under the Linux Foundation) standardizes how autonomous agents discover capabilities, delegate tasks, and maintain security boundaries.