This is basically six questions rolled into one and I did not pace myself well.
Structure your answer as a narrative around a specific production system you owned, walking through each requested area with concrete examples and metrics. Emphasize the challenge you solved, the trade-offs you weighed, and the measurable outcome, tying it back to Tesla's scale and reliability needs.
Pro tip: Quantify impact wherever possible (e.g., 'reduced deploy time by 40%', 'cut costs 30% via HPA tuning') and be honest about what you'd do differently—interviewers value self-awareness over perfection.
Briefly describe the production system, its scale (traffic, nodes, services), and your role. This anchors the rest of your answer and shows you can scope a complex topic.
Cover deployments (e.g., rolling updates, blue-green), services and ingress (e.g., ClusterIP, Ingress controllers), autoscaling (HPA/VPA/cluster-autoscaler), and config/secret management (ConfigMaps, Secrets, external secret stores).
Describe your monitoring stack (Prometheus, Grafana, logging, tracing), alerting, and how you used it to detect and diagnose issues. Mention rollback/upgrade strategies like Helm rollbacks or canary deployments.
Pick one concrete problem (e.g., a cascading failure, scaling bottleneck, or misconfiguration) and walk through your investigation, solution, and the measurable outcome.
Reflect on what you learned, the trade-offs you made (e.g., cost vs. resilience), and how you'd apply that experience at Tesla.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.