Resilience in Microservices Architecture Exposed by AI Agents When designing and implementing microservices architecture for AI agents, teams often overlook a critical aspect of system resilience. As AI adoption continues to grow, it's essential to reassess our assumptions about the underlying systems supporting these intelligent agents. Assumptions in Traditional Microservices Architectures Current microservices architectures rely on several key assumptions: Finite and well-understood clients : Clients making requests are known and manageable. Predictable traffic patterns : Traffic patterns can be anticipated, allowing for informed capacity planning. Bounded call sequences : The number of calls to a service is limited and easy to track. Controlled retry behavior : Retry mechanisms are explicitly implemented and managed. Idempotency decisions : Idempotent operations are carefully designed to prevent duplicate work.…