Safe deployments with Temporal Worker Versioning on Kubernetes

What this post added

This post details the practical implementation and benefits of Temporal Worker Versioning on Kubernetes. It explains how to use the Temporal Worker Controller to manage multiple worker versions simultaneously on the same task queue, preventing non-determinism errors during deployments. The post walks through a hands-on example of building a research agent workflow, intentionally breaking it with a naive deployment, and then fixing it using Worker Versioning. It covers the installation of the Worker Controller, deployment of v1 and v2 workers, and the handling of long-running and sleeping workflows during updates, including the use of Continue-as-New and the caveat of idle workflows not noticing version changes.