AWS gives developers best-in-class building blocks for Agentic AI – Amazon Bedrock for models, the Strands Agents SDK for agent framework, and Bedrock AgentCore for managed agents. But once that agent leaves the prototype stage and enters production, how do you ensure its survival against real-world failures? Network timeouts, multi-step approvals, server crashes – it’s a different problem entirely.
In this session, AWS Senior Partner Solutions Architect, Rahman Syed, and Temporal’s Senior Developer Advocate, Melissa Herrera, will break down:
Why agents fail in production
The durability layer Temporal adds to the AWS agentic stack
Temporal's integration with Strands SDK, which makes the same agent loops crash-proof, resumable, and observable
Whether you’re an AWS developer curious about Temporal, a Temporal user already building on AWS, or a developer exploring the space, you’ll leave with a clear mental model for where each piece fits and a hands-on demo that you can build from yourself.
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Senior Developer Advocate
Temporal Technologies
Melissa Herrera is a Senior Developer Advocate at Temporal, where she helps developers build durable AI agents and production-ready workflows for AI applications. Before Temporal, she worked in Developer Relations and Solutions Engineering at DataStax and Langflow, specializing in AI tooling and developer experience. Today, her work spans developer education, content, and community initiatives, making AI orchestration and distributed systems concepts accessible for developers building AI agents that actually survive in production.
Senior Partner Solutions Architect
AWS
Rahman Syed is a Senior Partner Solutions Architect at AWS, where he helps GenAI and DevOps companies design, build, and scale solutions that drive customer success on AWS. Before AWS, he led engineering teams specializing in microservices and DevOps across enterprise tech and the public sector. His experience spans software design, cloud architecture, and AI-driven technologies. He's passionate about teaching and helping others connect pragmatic technical design to the results that matter.
