Want to share our path through this. We started about 8 months ago with a small pilot. Initial challenges included team training. The breakthrough came when we automated the testing. Key metrics improved: 40% cost savings on infrastructure. The team's feedback has been overwhelmingly positive, though we still have room for improvement in testing coverage. Lessons learned: measure everything. Next steps for us: add more automation.
I'd recommend checking out conference talks on YouTube for more details.
There are several engineering considerations worth noting. First, compliance requirements. Second, failover strategy. Third, cost optimization. We spent significant time on documentation and it was worth it. Code samples available on our GitHub if anyone wants to take a look. Performance testing showed 2x improvement.
I'd recommend checking out conference talks on YouTube for more details.
One more thing worth mentioning: we had to iterate several times before finding the right balance.
I'd recommend checking out the official documentation for more details.
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 security must be built in from the start, not bolted on later.
For context, we're using Kubernetes, Helm, ArgoCD, and Prometheus.
For context, we're using Vault, AWS KMS, and SOPS.
The end result was 40% cost savings on infrastructure.
Additionally, we found that automation should augment human decision-making, not replace it entirely.
Great post! We've been doing this for about 6 months now and the results have been impressive. Our main learning was that documentation debt is as dangerous as technical debt. We also discovered that we underestimated the training time needed but it was worth the investment. For anyone starting out, I'd recommend integration with our incident management system.
One thing I wish I knew earlier: cross-team collaboration is essential for success. Would have saved us a lot of time.
One more thing worth mentioning: we discovered several hidden dependencies during the migration.
For context, we're using Jenkins, GitHub Actions, and Docker.
I'd recommend checking out the official documentation for more details.
One more thing worth mentioning: unexpected benefits included better developer experience and faster onboarding.
Additionally, we found that observability is not optional - you can't improve what you can't measure.
Additionally, we found that observability is not optional - you can't improve what you can't measure.
This is exactly the kind of detail that helps! I have a few questions: 1) How did you handle authentication? 2) What was your approach to canary? 3) Did you encounter any issues with compliance? We're considering a similar implementation and would love to learn from your experience.
I'd recommend checking out conference talks on YouTube for more details.
For context, we're using Grafana, Loki, and Tempo.
Feel free to reach out if you have more questions - happy to share our runbooks and documentation.