Valid approach! Though we did it differently using Terraform, AWS CDK, and CloudFormation. The main reason was automation should augment human decision-making, not replace it entirely. However, I can see how your method would be better for regulated industries. Have you considered automated rollback based on error rate thresholds?

I'd recommend checking out relevant blog posts for more details.

One more thing worth mentioning: team morale improved significantly once the manual toil was automated away.

We took a similar route in our organization and can confirm the benefits. One thing we added was real-time dashboards for stakeholder visibility. The key insight for us was understanding that observability is not optional - you can't improve what you can't measure. We also found that team morale improved significantly once the manual toil was automated away. Happy to share more details if anyone is interested.

One more thing worth mentioning: team morale improved significantly once the manual toil was automated away.

Just dealt with this! Symptoms: increased error rates. Root cause analysis revealed memory leaks. Fix: corrected routing rules. Prevention measures: load testing. Total time to resolve was an hour but now we have runbooks and monitoring to catch this early.

One thing I wish I knew earlier: security must be built in from the start, not bolted on later. Would have saved us a lot of time.

The end result was 60% improvement in developer productivity.

Additionally, we found that observability is not optional - you can't improve what you can't measure.