Generally Available: Run your Databricks jobs with serverless compute for workflows
Users can now run their Azure Databricks job without configuring and deploying infrastructure. With serverless compute, users can focus on implementing their data processing and analysis pipelines, and Azure Databricks efficiently manages compute resources, including optimizing and scaling compute for user workloads.
Serverless compute for workflows auto-optimization automatically optimizes compute by selecting appropriate resources such as instance types, memory, and processing engines based on user workload. Auto-optimization also automatically retries failed jobs. Databricks automatically upgrades the Databricks Runtime version to support enhancements and upgrades to the platform while ensuring the stability of user Azure Databricks jobs.
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