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All Systems Operational

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Welcome to Azure Databricks status page. Here you will find high-level availability information for all of the Azure Databricks services.

Account Console

Operational

API

Operational

Authentication

Operational

Compute

Operational

Databricks SQL

Operational

Databricks SQL Serverless

Operational

Delta Live Tables

Operational

Jobs

Operational

MLFlow

Operational

Model Serving

Operational

Unity Catalog

Operational

User Interface

Operational

Scheduled Maintenance

Azure Database Planned MaintenancePlanned Maintenance

Schedule

September 27, 2023 21:00 - 21:01 UTC

Components

API, Compute, Jobs, User Interface

Locations

br: brazilsouth: Brazil South

Description

Microsoft Azure will be conducting maintenance on their database platform, and some database instances that are responsible for Databricks infrastructure will be restarted between 09/27/2023 21:00 and 09/28/2023 12:00 UTC. You will see a brief interruption of the following services that should not exceed 5 minutes: - API access - Cluster creation - Starting or scheduling new jobs - UI access Currently running jobs will not be impacted.
Azure Database Planned MaintenancePlanned Maintenance

Schedule

September 30, 2023 16:00 - October 1, 2023 00:00 UTC

Components

API, Authentication, Compute, Databricks SQL, Databricks SQL Serverless, Jobs, MLFlow, User Interface

Locations

us: eastus2: East US 2, us: eastus: East US, us: centralus: Central US, us: northcentralus: North Central US

Description

Microsoft Azure will be conducting maintenance on their database platform, and some database instances that serve Databricks infrastructure will be restarted between 09/30/2023 16:00 UTC and 10/01/2023 00:00 UTC. You may encounter the following impact during this maintenance, which should not exceed 5 minutes: - Workspace authentication requests may fail or timeout. - Cluster start/resize/termination requests may time out. - Jobs relying on cluster start/resize/termination may not execute. - Jobs submitted through APIs/Schedulers may not execute. - UI and Databricks SQL queries may time out. - Users may have experienced failures launching Databricks Serverless SQL Warehouses. Currently running jobs may be interrupted.