Core · Find out it broke before your client does.
Observability
Automations fail silently. A token expires, a field gets renamed, and leads stop flowing, and the first alert is an annoyed client. Logs, metrics and alerts turn “it broke three days ago” into “it broke three minutes ago”.
Try this
Run each experiment in the simulator above, then tick it off.
Key ideas
Logs say what happened
Every run, every step, with the error message and the record ID.
Metrics say where it's heading
Success rate and latency over time catch slow decay that single log lines hide.
Alerts say it now
Alert on what clients feel, like error rate over a threshold or no leads in two hours, not on every single failure.
In your Pabbly workflows
Give every client workflow an error path: on failure, post to Slack or email with the workflow name, step, error and record ID. Add a daily heartbeat workflow that counts yesterday's leads and alerts when the number is zero or unusually low. That catches the failures that never throw an error.
Check yourself
0/2Get every question right to mark this lab done. Wrong answers let you try again.
Q1. Which alert catches a form that silently stopped sending data?
A form that stops sending produces no failed tasks at all. Only an alert on missing activity notices.
Q2. Metrics differ from logs because they…
Logs are the detail of each run; metrics aggregate runs so you can see a rate or a latency drifting.
Lab complete
Marked done on this device. On to the next one.
Watch next
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