What a comprehensive overview! I have a few questions: 1) How did you handle scaling? 2) What was your approach to canary? 3) Did you encounter any issues with availability? We're considering a similar implementation and would love to learn from your experience.
Additionally, we found that security must be built in from the start, not bolted on later.
I'd recommend checking out the official documentation for more details.
One thing I wish I knew earlier: documentation debt is as dangerous as technical debt. Would have saved us a lot of time.
Appreciated! We're in the process of evaluating this approach. Could you elaborate on team structure? Specifically, I'm curious about how you measured success. Also, how long did the initial implementation take? Any gotchas we should watch out for?
For context, we're using Istio, Linkerd, and Envoy.
I'd recommend checking out conference talks on YouTube for more details.
For context, we're using Elasticsearch, Fluentd, and Kibana.
One more thing worth mentioning: team morale improved significantly once the manual toil was automated away.
Not to be contrarian, but I see this differently on the tooling choice. In our environment, we found that Vault, AWS KMS, and SOPS worked better because security must be built in from the start, not bolted on later. That said, context matters a lot - what works for us might not work for everyone. The key is to invest in training.
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.
One more thing worth mentioning: we underestimated the training time needed but it was worth the investment.
From an implementation perspective, here are the key points. First, data residency. Second, backup procedures. Third, cost optimization. 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 50% latency reduction.
Additionally, we found that automation should augment human decision-making, not replace it entirely.
For context, we're using Kubernetes, Helm, ArgoCD, and Prometheus.
Feel free to reach out if you have more questions - happy to share our runbooks and documentation.
So relatable! Our experience was that we learned: Phase 1 (1 month) involved stakeholder alignment. Phase 2 (3 months) focused on pilot implementation. Phase 3 (ongoing) was all about full rollout. Total investment was $50K but the payback period was only 3 months. Key success factors: executive support, dedicated team, clear metrics. If I could do it again, I would invest more in training.
One thing I wish I knew earlier: documentation debt is as dangerous as technical debt. Would have saved us a lot of time.