AI agents often work well in demos but struggle in production when crashes, restarts, and long-running tasks cause them to lose state and execution context. The challenges facing AI agents today mirror those encountered during the rise of distributed microservices: coordinating long-running processes, handling failures, preserving state, managing retries, and maintaining visibility across complex workflows.
The orchestration patterns developed to solve these problems at scale are now becoming essential for agentic systems. Join us on June 11th to see how durable execution makes AI agents resilient, observable, and production-ready across popular agent frameworks.
