5 docs tagged with "workers"

How ordinary queued activities, local activities, worker sessions, and sticky execution fit together in Durable Workflow v2.

Run short activity work inside the current workflow worker process while preserving durable activity history, retries, timeouts, and visibility.

The Python SDK is a thin, async-first client for the Durable Workflow server. It lets Python processes start, observe, signal, and cancel workflows through the server's control-plane API, and register as workers that execute workflow tasks and activities.

Interpret the /api/cluster/info topology manifest for Durable Workflow server roles, scaling boundaries, failure domains, and migration steps.

Pin a sequence of durable activity attempts to one worker-session lease for GPU, filesystem, or process-local state affinity.