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Actions delays in starting runs

On August 24, 2026, between 13:33 UTC and 14:04 UTC, 3.8% of Actions runs experienced start delays over 5 minutes with 1.25% of Actions runs failing outright. The incident was caused by a disk failure on a node hosting one of many service instances responsible for processing runner assignment events. Typically, pods on unhealthy nodes are removed and replaced automatically without impact. In this case, although the node was severely degraded and unable to perform disk operations, it continued sending healthy signals, preventing the system from immediately moving its work elsewhere. During this period, events assigned to the affected component accumulated until an automatic rebalance redirected processing to healthy components at 13:54 UTC. The queue backlog was cleared at 14:00 UTC, and processing returned to normal by 14:04 UTC. To prevent a recurrence, we are improving detection and automated remediation for unhealthy nodes that aren’t fully offline. We are also strengthening applica

The latest update from GitHub.

State

Resolved

Started

69 d ago

2026-08-24 13:56 UTC

Lasted

38 min

until 2026-08-24 14:34 UTC

Worst impact

Degraded

Timeline

4 updates
13:5614:0614:1514:2514:34
DegradedUpdate postedTimes in UTC

Investigating

29 min 77%

Monitoring

9 min 23%

Updates

Times in UTC

As posted by GitHub

Resolved2026-08-24 14:34 UTC

On August 24, 2026, between 13:33 UTC and 14:04 UTC, 3.8% of Actions runs experienced start delays over 5 minutes with 1.25% of Actions runs failing outright. The incident was caused by a disk failure on a node hosting one of many service instances responsible for processing runner assignment events. Typically, pods on unhealthy nodes are removed and replaced automatically without impact. In this case, although the node was severely degraded and unable to perform disk operations, it continued sending healthy signals, preventing the system from immediately moving its work elsewhere. During this period, events assigned to the affected component accumulated until an automatic rebalance redirected processing to healthy components at 13:54 UTC. The queue backlog was cleared at 14:00 UTC, and processing returned to normal by 14:04 UTC. To prevent a recurrence, we are improving detection and automated remediation for unhealthy nodes that aren’t fully offline. We are also strengthening applica

Monitoring2026-08-24 14:26 UTC

The degradation affecting Actions has been mitigated. We are monitoring to ensure stability.

Investigating2026-08-24 14:22 UTC

Failures while queuing and running Actions jobs for a subset of customers are now resolving. We are monitoring for full recovery.

Investigating2026-08-24 13:56 UTC

We are investigating reports of degraded performance for Actions

Affected components

1
Actions

GitHub in the last 90 days

Full history
90 days agoToday

Incidents in 90 days

46

Days with an incident

34

Median duration

1 h 29 min

This incident

58% shorter than the median

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

20 h 7 min
median 1 h 29 min
90 days agoToday

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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 "github" and tell me if GitHub 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=github
Slack
/feed subscribe https://outages.cc/feed.xml?providers=github

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