Testing, Versioning & Release
What’s the safest way to roll back a workflow deployment?
The safest rollback strategy for Catalyst’s Agentic Durable Execution production AI workflows uses pre-deployed versioned artifacts and targeted traffic routing controls built on Dapr’s native primitives. Route all new workflow work to the prior stable deployed version, while letting in-flight runs using the updated workflow definition complete fully without unintended disruption. Importantly, this approach does not repair corrupted workflow state generated by the failed deployment update.
Was this article helpful?
Your feedback helps improve Diagrid's FAQ experience.
Keep reading
More Diagrid FAQ articles
- Testing, Versioning & Release
How do I test durable agent workflows that use LLM calls?
Covers testing durable agent LLM workflows: use replayable validation, mock LLM calls to avoid real APIs in local/staging tests, verify state transitions.
- Testing, Versioning & Release
What staging environment requirements apply to durable agent workflows?
Outlines key staging considerations for deploying and validating durable agent workflows before moving them to production environments.
- Testing, Versioning & Release
How do versioning strategies work for durable agent workflows?
Explains core versioning approaches for managing updates to durable agent workflow definitions and their associated execution runs.