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Handling Errors and Failures Print

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When automation breaks.

WHY IT MATTERS

Automation fails silently, and silent failure is worse than manual work.

WHAT CAUSES FAILURES

A connected system changing Credentials expiring Data in an unexpected format Volume limits reached Service outages Changes to the process nobody reflected

WHAT TO ESTABLISH

Notification when an automation fails.

WHY

Otherwise you discover it through its consequences.

WHO SHOULD BE NOTIFIED

A named person who will act.

WHAT TO BUILD IN

Handling for predictable problems: missing data, invalid formats, unavailable systems.

WHAT TO DO ABOUT UNPREDICTABLE ONES

Fail visibly, and route to a person.

WHY VISIBLY

A failure that stops quietly leaves work undone with nobody aware.

WHAT TO AVOID

Automations that retry indefinitely Automations that continue with partial data

WHY PARTIAL DATA

It corrupts records in ways that are difficult to find later.

WHAT TO ESTABLISH

What the manual fallback is.

WHY

Systems fail, and the work still must happen.

WHAT TO DOCUMENT

How to perform the task manually.

WHY

Nobody remembers once it has been automated for a year.

WHAT TO MONITOR

Whether automations are actually running.

HOW

Periodic checks that expected outputs appeared.

WHAT TO REVIEW

Failures, by cause.

WHAT REPEATED FAILURES INDICATE

A fragile design or an unhandled exception.


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