Today I almost broke my serverless production environment, but AWS disaster recovery features saved the day.
I was deploying a major update to my Financial Agent to fix a split identity issue. Users logging in with Email/Password and Google OAuth were getting separate DynamoDB partitions. I rewrote the backend to unify the identity resolution around the verified email address.
At the same time, I was updating the transaction classification logic. The system needed to strictly separate refunds/credits from actual income so the AI wouldn't hallucinate false financial praise.
The Deployment Incident:
I deployed the new Python code to AWS Lambda, but I forgot to package a newly required module in the deployment zip. The immediate result was a global 502 Bad Gateway. While trying to patch it quickly, I caused a 500 Internal Server Error by calling an unimported configuration variable.
The Rollback:
Because I treat my serverless infrastructure seriously, I had taken two precautions before deploying:
I created DynamoDB On-Demand backups for my Cache, Memory, and Transactions tables.
I published numbered versions of my Lambda function instead of just overwriting $LATEST.
Instead of panicking and writing hotfixes in the AWS Console, I simply rolled back the API Gateway to point to Lambda Version 1. The system stabilized instantly. I then fixed my local code, bundled the dependencies correctly, and deployed Version 4 cleanly.
The lesson here is simple: Never deploy major logic changes without database backups and function versioning. Rollbacks should be a one-click operation, not a debugging session.
Top comments (0)