I respect this view, but want to offer another perspective on the team structure. In our environment, we found that Istio, Linkerd, and Envoy worked b...
Yes! We've noticed the same - the most important factor was failure modes should be designed for, not discovered in production. We initially struggled...
When we break down the technical requirements. First, network topology. Second, monitoring coverage. Third, cost optimization. We spent significant ti...
Great post! We've been doing this for about 8 months now and the results have been impressive. Our main learning was that documentation debt is as dan...
We hit this same problem! Symptoms: increased error rates. Root cause analysis revealed network misconfiguration. Fix: corrected routing rules. Preven...
Some implementation details worth sharing from our implementation. Architecture: serverless with Lambda. Tools used: Elasticsearch, Fluentd, and Kiban...
We saw this same issue! Symptoms: frequent timeouts. Root cause analysis revealed network misconfiguration. Fix: corrected routing rules. Prevention m...
What we'd suggest based on our work: 1) Automate everything possible 2) Implement circuit breakers 3) Share knowledge across teams 4) Build for failur...
Here are some technical specifics from our implementation. Architecture: serverless with Lambda. Tools used: Kubernetes, Helm, ArgoCD, and Prometheus....
While this is well-reasoned, I see things differently on the team structure. In our environment, we found that Terraform, AWS CDK, and CloudFormation ...
Much appreciated! We're kicking off our evaluating this approach. Could you elaborate on team structure? Specifically, I'm curious about risk mitigati...
Funny timing - we just dealt with this. The problem: deployment failures. Our initial approach was ad-hoc monitoring but that didn't work because too ...
Love how thorough this explanation is! I have a few questions: 1) How did you handle monitoring? 2) What was your approach to canary? 3) Did you encou...