Vibe Check: Priority, Fairness & Building Workflows from Scratch episode artwork

EPISODE · Jun 16, 2026 · 55 MIN

Vibe Check: Priority, Fairness & Building Workflows from Scratch

from Owlcast

Watch the video version for the demos and screen shares: https://www.youtube.com/live/-nuLcSKS1cIMelanie was joined by Xinyi Chen, a software engineer on Temporal's Cloud Growth team, and co-host Melissa McGregor from Temporal's docs team and author of the priority and fairness docs. Xinyi built priority and fairness into Temporal workflows from scratch, using a pizza shop with a single chef to make the concepts concrete before moving into live coding.Topics covered:Rate limiting, priority, and fairness as task queue features, explained with a pizza shop analogyBuilding the workflow from scratch live in an IDE with Claude and the Temporal Skill loadedRunning the logic as a standalone activityStarting workflows and activities directly from the Temporal Cloud UIWorkflow streams, now in public preview for Python with TypeScript coming soonResources:Task queue priority and fairness docs: https://docs.temporal.io/develop/task-queue-priority-fairnessTemporal AI cookbook: https://docs.temporal.io/ai-cookbookTemporal on GitHub: https://github.com/temporalioDatabricks Data + AI Summit: https://www.databricks.com/dataaisummitOriginally streamed June 11, 2026 on Vibe Check Temporal YouTube channel and you can watch the full episode at: https://www.youtube.com/live/-nuLcSKS1cI

Episode metadata supplied by the publisher feed · Published Jun 16, 2026

NOW PLAYING

Vibe Check: Priority, Fairness & Building Workflows from Scratch

0:00 55:09

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

"Listen, Learn, Get Inspired" James O´Connor OwlCast is an innovative podcast powered by Generative AI. In this fast-paced world, we understand the need to learn on the go, so we leverage advanced AI technology to analyze vast amounts of market data. We identify the most relevant trends, topics and books today and deliver them efficiently and accessibly to our listeners. "Escucha, Aprende, Inspírate" Juan Amazol OwlCast es un innovador podcast impulsado por la Inteligencia Artificial Generativa. En este mundo acelerado, entendemos la necesidad de aprender en movimiento, por eso utilizamos nuestra avanzada tecnología de IA para analizar inmensas cantidades de información de mercado. Detectamos las tendencias, temas y libros más relevantes en el mundo actual y los entregamos de manera eficiente y accesible para nuestros oyentes.. "Escute, Aprenda, Inspire-se." Roberto Nazario OwlCast é um podcast inovador impulsionado pela Inteligência Artificial Generativa. Neste mundo acelerado, entendemos a necessidade de aprender em movimento, por isso utilizamos nossa avançada tecnologia de IA para analisar imensas quantidades de informações de mercado. Detectamos as tendências, temas e livros mais relevantes no mundo atual e os entregamos de maneira eficiente e acessível para nossos ouvintes. OwlCast Hoosac's Podcasting Class Students in Podcasting and Audio Production class work together in creating Hoosac's #1 and only podcast. Each episode takes you on a journey through the life and times of Hoosac School.

Frequently Asked Questions

How long is this episode of Owlcast?

This episode is 55 minutes long.

When was this Owlcast episode published?

This episode was published on June 16, 2026.

What is this episode about?

Watch the video version for the demos and screen shares: https://www.youtube.com/live/-nuLcSKS1cIMelanie was joined by Xinyi Chen, a software engineer on Temporal's Cloud Growth team, and co-host Melissa McGregor from Temporal's docs team and author...

Can I download this Owlcast episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.
URL copied to clipboard!