Databricks releases, every cloud
- Databricks Apps telemetry is now generally available
Collects traces, logs, and metrics to Unity Catalog tables using OpenTelemetry.
- Webhook-triggered deployments for Databricks Apps will soon be generally available Coming soon
Automatically deploys apps when changes are pushed to connected GitHub or Azure DevOps repositories. Requires a connected repository.
- JAR tasks on serverless compute are now generally available
Requires matching Scala, Java Development Kit, and Databricks Connect versions.
- Serverless compute access control is now generally available
Governs access to notebooks, jobs, and pipelines through Default Interactive and Automated Compute objects. Existing workloads run unchanged.
- Workspace base environments are now generally available
Lets workspace admins create pre-built environments for serverless notebooks, enabled by default in compliance security profile workspaces.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Git-backed app deployments are now generally available
Deploys apps from Git repositories, allowing Git-only deployments across a workspace.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Serverless workspaces are now generally available
Come pre-configured with serverless compute and default storage.
- Compute sizing for Databricks Apps is now generally available
Offers Medium (2 vCPUs, 6 GB) and Large (4 vCPUs, 12 GB) sizes.
Headlines, dates and product areas are Databricks' own, and every item links to the note it came from. The one-line summaries are ours.