Log Anomaly Detector
Search logs for anomalies, correlate with tracked errors, and alert the team
Example Prompt
Check the application logs for any anomalies in the last 6 hours and alert the team if anything looks off
About
Scans application logs in Elasticsearch for unusual patterns such as error spikes, unexpected status codes, or latency outliers. Cross-references detected anomalies with Sentry issues to provide context, then notifies the on-call team via Slack with a prioritized alert summary.
Workflow Steps
Query Elasticsearch for log entries with elevated error rates or unusual patterns
🔎 Search IndexIdentify anomalous clusters by comparing against baseline log volume
🔎 Search IndexCross-reference anomalies with recent Sentry issues for correlation
🚨 List IssuesFetch detailed event data for the most critical correlated errors
🔍 Get Error EventSend a prioritized anomaly alert to the team Slack channel
📨 Send MessageTools Used
Search Index
Run a full-text or structured query against an Elasticsearch index
Get Error Event
Retrieve detailed information about a specific Sentry error event including stack trace
List Issues
Retrieve unresolved error issues from a Sentry project, sorted by frequency or last seen
Send Message
Send a message to a Slack channel or direct message conversation