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Databricks pairs Temporal and Lakebase for durable cloud agents

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Databricks has published a reference implementation pairing Temporal with Lakebase Postgres so cloud agents can survive worker, container, or deployment replacement. The design keeps recorded work and evidence and review state queryable, and lets human decisions arrive days later. Unity Catalog remains the governed policy source through synced tables.

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A cloud agent may outlive the request, worker, container or deployment that started it.

This reference implementation pairs Temporal with Lakebase Postgres so recorded work survives worker replacement, evidence and review state stay queryable, and human decisions can arrive days later. Unity Catalog remains the governed policy source through synced tables.

See how to build it:
https://www.databricks.com/blog/build-durable-agents-temporal-and-lakebase?utm_source=twitter&utm_medium=organic-social

Source: Databricks · x.comPublished · added here