Email Notifications for Workflow Automation: Know When Scripts Fail (or Succeed)
A scheduled script runs at 2 AM. It fails. Nobody notices until someone checks the output folder the next morning and finds stale data.
A scheduled script runs at 2 AM. It fails. Nobody notices until someone checks the output folder the next morning and finds stale data.
You have three Python scripts. One pulls data from an API. The second cleans it. The third generates a report. They need to run in order, every morning, and you need to know if something breaks.
Every time you connect a file to Zapier, Make, or Power Automate, that file leaves your machine. It passes through someone else’s servers, gets processed in someone else’s cloud, and you’re trusting t