Some tips from our journey: 1) Test in production-like environments 2) Monitor proactively 3) Practice incident response 4) Measure what matters. Common mistakes to avoid: skipping documentation. Resources that helped us: Google SRE book. The most important thing is consistency over perfection.

One more thing worth mentioning: the hardest part was getting buy-in from stakeholders outside engineering.

The end result was 70% reduction in incident MTTR.

The end result was 80% reduction in security vulnerabilities.

Neat! We solved this another way using Vault, AWS KMS, and SOPS. The main reason was observability is not optional - you can't improve what you can't measure. However, I can see how your method would be better for regulated industries. Have you considered drift detection with automated remediation?

For context, we're using Jenkins, GitHub Actions, and Docker.

Additionally, we found that automation should augment human decision-making, not replace it entirely.

Additionally, we found that automation should augment human decision-making, not replace it entirely.

We encountered something similar. The key factor was maintenance burden. We learned this the hard way when integration with existing tools was smoother than anticipated. Now we always make sure to include in design reviews. It's added maybe a few hours to our process but prevents a lot of headaches down the line.

The end result was 60% improvement in developer productivity.

The end result was 70% reduction in incident MTTR.

One more thing worth mentioning: integration with existing tools was smoother than anticipated.