Orchestrator Pattern Enables Scalable Agent Microservices

This post outlines using an orchestrator pattern to build distributed AI agent microservices, demonstrated with a Course Creator example using Google's Agent Development Kit (ADK), the Agent-to-Agent (A2A) protocol, Pydantic, and Cloud Run. It explains splitting responsibilities among researcher, judge, and orchestrator services, deployment scaling benefits, and security caveats like mTLS and authentication. The approach lets frontends call a single endpoint while independent services scale and enforce structured JSON outputs.
Scoring Rationale
Practical, actionable orchestration guidance boosts usability; limited originality and single-source tutorial reduce broader novelty and impact.
Practice with real Ad Tech data
90 SQL & Python problems · 15 industry datasets
250 free problems · No credit card
See all Ad Tech problems


