Our experience from start to finish with this. We started about 12 months ago with a small pilot. Initial challenges included legacy compatibility. The breakthrough came when we automated the testing. Key metrics improved: 80% reduction in security vulnerabilities. The team's feedback has been overwhelmingly positive, though we still have room for improvement in testing coverage. Lessons learned: communicate often. Next steps for us: optimize costs.
The end result was 70% reduction in incident MTTR.
Great approach! In our organization and can confirm the benefits. One thing we added was drift detection with automated remediation. The key insight for us was understanding that failure modes should be designed for, not discovered in production. We also found that we discovered several hidden dependencies during the migration. Happy to share more details if anyone is interested.
One more thing worth mentioning: we discovered several hidden dependencies during the migration.
Our experience was remarkably similar! We learned: Phase 1 (2 weeks) involved tool evaluation. Phase 2 (2 months) focused on pilot implementation. Phase 3 (ongoing) was all about knowledge sharing. Total investment was $50K but the payback period was only 3 months. Key success factors: good tooling, training, patience. If I could do it again, I would involve operations earlier.
Feel free to reach out if you have more questions - happy to share our runbooks and documentation.
Additionally, we found that documentation debt is as dangerous as technical debt.
Looks like our organization and can confirm the benefits. One thing we added was drift detection with automated remediation. The key insight for us was understanding that automation should augment human decision-making, not replace it entirely. We also found that we underestimated the training time needed but it was worth the investment. Happy to share more details if anyone is interested.
For context, we're using Istio, Linkerd, and Envoy.
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.
Great post! We've been doing this for about 21 months now and the results have been impressive. Our main learning was that observability is not optional - you can't improve what you can't measure. We also discovered that team morale improved significantly once the manual toil was automated away. For anyone starting out, I'd recommend real-time dashboards for stakeholder visibility.
I'd recommend checking out the community forums for more details.
For context, we're using Grafana, Loki, and Tempo.
From an implementation perspective, here are the key points. First, data residency. Second, monitoring coverage. Third, performance tuning. We spent significant time on monitoring and it was worth it. Code samples available on our GitHub if anyone wants to take a look. Performance testing showed 10x throughput increase.
One more thing worth mentioning: unexpected benefits included better developer experience and faster onboarding.
Feel free to reach out if you have more questions - happy to share our runbooks and documentation.