​Not every workflow deserves equal treatment. Some jobs need to jump the line, some users can't be allowed to starve everyone else, and a fair scheduler is harder to build than it looks. So how do you actually do this in a workflow engine?

​In this Vibe Check, Melanie is joined by Xinyi Chen, staff software engineer at Temporal, to dig into why priority and fairness matter in workflow systems, how to actually configure them, and when you'd reach for these patterns in production. Xinyi will build the example live from scratch on stream, walking through how he uses AI tools to move through the build so you can see both the engineering and the workflow behind it.

​Depending on where the conversation goes, they'll also get into other advanced patterns like large payload storage and serverless execution.

​Come with questions, bring your setup, and get real answers live.

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Temporal's platform is a central hub for developers interested in distributed systems, workflow orchestration, and fault-tolerant computing. Through articles, tutorials, and documentation, Temporal offers insights into building resilient and scalable distributed applications. Developers can learn about workflow automation, state management, and handling failure scenarios using Temporal's workflow engine and coordination APIs.

Some Jobs Jump the Line. How Do You Build That?