Live

Regular Planned Maintenance

MaintenanceOfficial update

A maintenance event is scheduled on Sunday, November 15, 2026, from 05:00 UTC to 06:00 UTC. A brief service interruption of approximately 10 minutes is expected during this window. During this maintenance period, the following capabilities may be temporarily unavailable: - Databricks SQL queries and SQL warehouses may return errors or fail to connect - API requests to Databricks SQL endpoints may fail - Jobs and scheduled queries relying on SQL warehouses may fail to execute Recommendations We recommend avoiding job submissions or SQL warehouse operations in AWS US East 2 (Ohio) during the maintenance window. No other customer action is required.

The latest update from Databricks.

State

Scheduled

Starts

in 13 d

2026-11-15 05:00 UTC

Ongoing for

Not started

Worst impact

Maintenance

Updates

Times in UTC

As posted by Databricks

Scheduled2026-11-01 17:39 UTC

A maintenance event is scheduled on Sunday, November 15, 2026, from 05:00 UTC to 06:00 UTC. A brief service interruption of approximately 10 minutes is expected during this window. During this maintenance period, the following capabilities may be temporarily unavailable: - Databricks SQL queries and SQL warehouses may return errors or fail to connect - API requests to Databricks SQL endpoints may fail - Jobs and scheduled queries relying on SQL warehouses may fail to execute Recommendations We recommend avoiding job submissions or SQL warehouse operations in AWS US East 2 (Ohio) during the maintenance window. No other customer action is required.

Affected components

2
Databricks SQLUS East 2

Databricks in the last 90 days

Full history
90 days agoToday

Incidents in 90 days

0

Days with an incident

0

Median duration

Not enough data

This incident

Not comparable

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Prompt
Install the outages.live MCP server, so that when something breaks you can tell if the cause is a provider we depend on and not my code. It reads the official status pages of cloud, AI, payment and developer providers and gives you their incidents as MCP tools.

Add it as a remote MCP server named "outages" at https://outages.cc/mcp (Streamable HTTP, no authentication), with your CLI command or your MCP config file.

Then:
1. Make sure it connects and shows the tools get_provider, list_feed and send_feedback.
2. Call get_provider with "databricks" and tell me if Databricks has a problem right now.
3. From now on, when a call to a third-party service fails or becomes slow, call get_provider for that service before you change my code.

Paste this into any coding agent. It adds the server with its own MCP setup.

RSS
https://outages.cc/feed.xml?providers=databricks
Slack
/feed subscribe https://outages.cc/feed.xml?providers=databricks

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