Google Cloud Serverless for Apache Spark documentation

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

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Training
Training and tutorials

Interactive tutorial for getting started with Serverless for Apache Spark.

Use case
Use cases

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

Use case
Use cases

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