Code and Slack: Log Pattern Anomaly Alert Template
A Spojit template that checks your logs on a schedule, counts error patterns, and pings Slack when error frequency spikes past a baseline.
What It Builds
A Schedule trigger fires on a cron interval. A Connector node in Direct mode uses http to pull a recent slice of your log endpoint, a code node counts how often each error pattern appears, and a Condition node compares the count to a baseline. When the spike threshold is crossed, a Slack node posts an alert to your on-call channel with the top patterns and counts.
The Prompt
Paste this into Miraxa and it builds the workflow, connecting the tools for you:
Build a workflow that runs every 15 minutes, fetches the last 15 minutes of logs from my logging API, counts how many times each error pattern appears, and posts a message to the #on-call Slack channel only when any pattern's count is more than three times its normal baseline. Include the pattern name and current count in the alert.Connectors Used
- Schedule trigger - runs the check on a cron interval (every 15 minutes by default).
- http - Miraxa connects to your logging API to pull the recent log slice.
- code - tallies error patterns and compares each against its baseline.
- Slack - posts the anomaly alert to your chosen channel.
Customize It
Change the cron interval and lookback window, point the prompt at your real log endpoint, swap #on-call for your team's channel, and tune the spike multiplier (3x here) or switch to a fixed count threshold so the alert fires exactly when you want.
Tips
- Keep the Slack node in Direct mode so each run posts one exact message with no AI cost.
- Give the code node a baseline per pattern (recent average or a static map) to avoid noisy alerts on low-volume errors.
- Make sure your logging API connection has read scope and returns a parseable time-windowed slice.