Operations and reliability
Run Azure Databricks with guidance on observability, incidents, service objectives, audit evidence, and disaster recovery.
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Related pages#
- Lakeflow data engineering — Build and run ingestion, declarative pipelines, orchestration, replay, and reconciliation.
- AI and ML platform — Govern and operate MLflow, Genie Agents, Unity AI Gateway, serving, and evaluation.
- Databricks well-architected framework
- Reddit source: platform lessons
- Databricks migration guide