# Databricks Serverless Migration

> Migrate Databricks workloads from classic compute to serverless compute.

Migrate Databricks workloads from classic compute to serverless compute. Use when migrating notebooks, jobs, pipelines, or Scala JARs (`spark_jar_task`) from classic clusters to serverless, checking if existing code is serverless-compatible, or writing new serverless-compatible code. Provides concrete fixes for the serverless Spark Connect architecture and guides the full migration. Not for classic DBR version upgrades or cluster configuration changes within classic compute.

- Page: https://ss33.ai/skills/databricks/databricks-serverless-migration-99529205645
- Publisher: databricks
- Category: [Data & Analytics](https://ss33.ai/skills/category/data-and-analytics-m1r3i9) › [Data pipelines & ETL](https://ss33.ai/skills/category/data-and-analytics-m1r3i9/data-pipelines-and-etl-c8rdes)
- Source: https://github.com/databricks/databricks-agent-skills/blob/c570f88de43af3575bd33de6fef6186671afa9ba/plugins/databricks/claude/skills/databricks-serverless-migration/SKILL.md

## Skill

This skill's licence does not allow redistribution, so the store does not serve its text. Get it from the author: https://github.com/databricks/databricks-agent-skills/blob/c570f88de43af3575bd33de6fef6186671afa9ba/plugins/databricks/claude/skills/databricks-serverless-migration/SKILL.md