02What does a service mesh solve that Kubernetes does not, and when is the operational cost not worth paying?▼hard★ EssentialNewUberMetaRed Hat3 repliesunlockedAsked in nearly every senior Kubernetes loop, and most candidates answer with a feature list. The scoring answer names the three problems it solves and then argues for not adopting it.Open full answer →
17Envoy gets SIGTERM at the same instant as the app and requests drop mid-rollout. How does container ordering in a pod really work?▼medium★ EssentialNewGoogleUberStripe○ sign inInit containers are the easy half. The hard half is why plain sidecars race your app at both ends of the pod's life, and what restartPolicy Always changes about that.Open full answer →
49Sidecar proxies cost us real memory per pod. Do ambient and Cilium-style meshes actually remove that cost, and what do they trade?▼mediumNewSalesforceStripeSAP◆ premiumYes, the proxy moves: one L4 agent per node, eBPF in-kernel, waypoints only where L7 policy demands. The scored answer quantifies the sidecar bill, compares where each architecture lands the proxy, and names migration risks.Open full answer →
61Your job pods never complete because the mesh sidecar keeps running. What changed in Kubernetes to fix this?▼hardNewGoogleRed HatMicrosoft2 replies◆ premiumA Job with a sidecar was broken by design for years: the workload finishes, the proxy does not, and the pod never terminates. Native sidecars fix it by making the container an init container that keeps running.Open full answer →
33Two internal services need to talk securely. When is mTLS worth the operational pain and when do short-lived tokens win?▼medium★ EssentialNewUberNetflixGoogle◆ premiumChoose by trust boundary, not fashion: mesh-issued mTLS inside a cluster, audience-bound tokens across teams and clouds, both together at scale. Static shared secrets are the thing being replaced.Open full answer →