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Index/Engineering & DevTools/DevOps Daily with Fexingo
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How Kubernetes Service Meshes Hide Network Latency

DevOps Daily with Fexingo · 2026-08-27 · 10 min

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Topics in this episode

Kubernetes service meshistio latencylinkerd performanceenvoy proxy overheadsidecar proxy

Episode notes

In this episode, Lucas and Luna dig into a frustrating Kubernetes mystery: a service mesh that quietly added latency to every request without triggering any alarms. They walk through a real-world incident where mTLS handshakes and sidecar proxies doubled p99 response times, yet dashboards showed everything green. The conversation covers how to spot the hidden cost of service meshes, why metrics like CPU and memory miss it, and the concrete debugging steps that finally exposed the culprit: an Envoy proxy with an oversized connection pool and a misconfigured retry policy. If you run Istio, Linkerd, or any sidecar-based mesh, this episode gives you a checklist to avoid the same silent performance trap. They also touch on when a mesh is worth the overhead and when it might be simpler to step back to plain Kubernetes networking. #Kubernetes #ServiceMesh #Istio #Linkerd #Envoy #SidecarProxy #mTLS #Latency #DevOps #SRE #Observability #Performance #Troubleshooting #TechPodcast #FexingoBusiness #BusinessPodcast #CloudNative #K8s Keep every episode free: buymeacoffee.com/fexingo

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