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Deploying AI agents in production-ready environments means tackling challenges most frameworks leave to developers: managing agent sessions, handling failures gracefully, scaling across distributed systems, and ensuring observability. In this session, you’ll learn how the Durable Extension for Microsoft Agent Framework addresses these challenges with four core value props:
Durability – agents can survive process failures
Distributed – scale agent executions across many machines
Determinism – predictable, repeatable agentic workflows
Debuggability – debug agents with familiar debugging tools and practices
We’ll explore real-world patterns such as stateful agent loops, multi-agent workflows, human-in-the-loop interactions, and long-running tool calls, all running serverlessly on Azure.
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Learn more: https://aka.ms/agentic-modernization
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