Elevated failure rates on the US error reporting API
Between 19:54 and 20:07 UTC on August 15, requests to our US error reporting API (api.honeybadger.io) experienced an elevated failure rate. During this window, a majority of requests to submit errors and events timed out or received 5xx responses. Browser (JavaScript) error reporting, source map uploads, the Honeybadger web application, dashboards, uptime monitoring, and our EU region were not affected. What happened: Beginning at 19:54 UTC, a single source began submitting error reports at roughly 150 times its normal rate, with payloads several times larger than average. This more than doubled the total volume of data arriving at our ingestion tier, which saturated within a minute. Because the saturated service kept accepting connections rather than returning errors outright, our autoscaling and alerting — which watch for error responses — did not register the problem quickly, and capacity was added later than it should have been. Service recovered at 20:07 UTC once additional capaci
The latest update from Honeybadger.
State
Resolved
Started
78 d ago
2026-08-15 20:48 UTC
Lasted
1 min
until 2026-08-15 20:48 UTC
Worst impact
Notice
Timeline
1 updateResolved
1 min 100%
Updates
Times in UTCAs posted by Honeybadger
Between 19:54 and 20:07 UTC on August 15, requests to our US error reporting API (api.honeybadger.io) experienced an elevated failure rate. During this window, a majority of requests to submit errors and events timed out or received 5xx responses. Browser (JavaScript) error reporting, source map uploads, the Honeybadger web application, dashboards, uptime monitoring, and our EU region were not affected. What happened: Beginning at 19:54 UTC, a single source began submitting error reports at roughly 150 times its normal rate, with payloads several times larger than average. This more than doubled the total volume of data arriving at our ingestion tier, which saturated within a minute. Because the saturated service kept accepting connections rather than returning errors outright, our autoscaling and alerting — which watch for error responses — did not register the problem quickly, and capacity was added later than it should have been. Service recovered at 20:07 UTC once additional capaci
Affected components
1Honeybadger in the last 90 days
Full historyIncidents in 90 days
1
Days with an incident
1
Median duration
1 min
This incident
About the median
Follow Honeybadger
Your coding agent knows when Honeybadger is down, and tells you when a failure is theirs, not yours. You can also get Honeybadger incidents in a feed reader or in Slack.
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.live/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 "honeybadger" and tell me if Honeybadger 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.
https://outages.live/feed.xml?providers=honeybadger/feed subscribe https://outages.live/feed.xml?providers=honeybadgerFAQ
Go from tracking outages to fixing production issues with Polylane.
Try Polylane