Live

Queries on Metrics Datasets Suffer from Elevated Error Rates

Error rate have returned to nominal levels.

The latest update from Axiom.

State

Resolved

Started

7 d ago

2026-10-25 17:35 UTC

Lasted

1 h 4 min

until 2026-10-25 18:39 UTC

Worst impact

Degraded

Timeline

3 updates
17:3517:5118:0718:2318:39
DegradedUpdate postedTimes in UTC

Identified

55 min 86%

Monitoring

9 min 14%

Updates

Times in UTC

As posted by Axiom

Resolved2026-10-25 18:39 UTC

Error rate have returned to nominal levels.

Monitoring2026-10-25 18:30 UTC

A fix was deployed and we are monitoring, error rates have already started to drop.

Identified2026-10-25 17:35 UTC

Queries performed on metrics datasets on us-east-1 region are currently failing at an elevated rate, we have identified the root cause and working on a fix.

Axiom in the last 90 days

Full history
90 days agoToday

Incidents in 90 days

7

Days with an incident

9

Median duration

1 h 7 min

This incident

About the median

How long each incident lasted, on the day it started. The outlined bar is this incident.

2 days
median 1 h 7 min
90 days agoToday

Other Axiom incidents

All incidents

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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 "axiom" and tell me if Axiom 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
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Slack
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