Great post! We've been doing this for about 22 months now and the results have been impressive. Our main learning was that automation should augment human decision-making, not replace it entirely. We also discovered that the initial investment was higher than expected, but the long-term benefits exceeded our projections. For anyone starting out, I'd recommend integration with our incident management system.

One more thing worth mentioning: we underestimated the training time needed but it was worth the investment.

We chose a different path here using Istio, Linkerd, and Envoy. 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 larger teams. Have you considered automated rollback based on error rate thresholds?

For context, we're using Grafana, Loki, and Tempo.

I'd recommend checking out the community forums for more details.

The end result was 99.9% availability, up from 99.5%.

Couldn't agree more. From our work, the most important factor was documentation debt is as dangerous as technical debt. We initially struggled with legacy integration but found that integration with our incident management system worked well. The ROI has been significant - we've seen 3x improvement.

The end result was 50% reduction in deployment time.

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.

Great post! We've been doing this for about 4 months now and the results have been impressive. Our main learning was that security must be built in from the start, not bolted on later. We also discovered that we underestimated the training time needed but it was worth the investment. For anyone starting out, I'd recommend real-time dashboards for stakeholder visibility.

Feel free to reach out if you have more questions - happy to share our runbooks and documentation.

One more thing worth mentioning: we underestimated the training time needed but it was worth the investment.

We had a comparable situation on our project. The problem: deployment failures. Our initial approach was simple scripts but that didn't work because it didn't scale. What actually worked: chaos engineering tests in staging. The key insight was cross-team collaboration is essential for success. Now we're able to scale automatically.

The end result was 50% reduction in deployment time.

The end result was 80% reduction in security vulnerabilities.

One thing I wish I knew earlier: cross-team collaboration is essential for success. Would have saved us a lot of time.

This is almost identical to what we faced. The problem: scaling issues. Our initial approach was simple scripts but that didn't work because too error-prone. What actually worked: cost allocation tagging for accurate showback. The key insight was observability is not optional - you can't improve what you can't measure. Now we're able to deploy with confidence.

One thing I wish I knew earlier: documentation debt is as dangerous as technical debt. Would have saved us a lot of time.

The end result was 90% decrease in manual toil.

Had this exact problem! Symptoms: high latency. Root cause analysis revealed memory leaks. Fix: fixed the leak. Prevention measures: chaos engineering. Total time to resolve was a few hours but now we have runbooks and monitoring to catch this early.

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

The end result was 60% improvement in developer productivity.

I'd recommend checking out the official documentation for more details.

Additionally, we found that documentation debt is as dangerous as technical debt.

This matches our findings exactly. The most important factor was automation should augment human decision-making, not replace it entirely. We initially struggled with security concerns but found that drift detection with automated remediation worked well. The ROI has been significant - we've seen 3x improvement.

One thing I wish I knew earlier: observability is not optional - you can't improve what you can't measure. Would have saved us a lot of time.

Additionally, we found that documentation debt is as dangerous as technical debt.