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Databricks参考实现：Temporal结合Lakebase Postgres构建持久化云端Agent
Databricks介绍一项参考实现，将Temporal与Lakebase Postgres结合，使云端agent记录的工作在worker替换后仍可保留，证据与审核状态保持可查询，人工决策可在数天后到达。Unity Catalog通过同步表继续作为治理策略来源。
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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