Managed Service for Apache Spark documentation

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Use Managed Service for Apache Spark serverless deployment mode to run Spark batch workloads without provisioning and managing your own cluster. Specify workload parameters, and then submit the workload to the Managed Service for Apache Spark service. The service will run the workload on a managed compute infrastructure, autoscaling resources as needed. Managed Service for Apache Spark charges apply only to the time when the workload is executing.

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Interactive tutorial for getting started with Managed Service for Apache Spark.

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Managed Service for Apache Spark ready-to-use, config-driven Spark templates.

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Use cases

Managed Service for Apache Spark hands-on labs built around common use cases.