A service mesh should solve a named operating problem. It should not appear because the platform has reached a maturity checklist. Meshes add a control plane, sidecars or node proxies, certificates, traffic policy, telemetry, and failure modes that did not exist before. The trade can be worth it. It needs an ownership model before the first namespace is enrolled. Name The Problem First Good mesh adoption starts with a concrete reason: ...
mTLS is often the reason teams adopt a service mesh. It is also where a mesh stops being invisible plumbing. The goal is not “turn on strict mode.” The goal is to prove that service identity, policy, and traffic behavior match the application’s real dependency graph. Inventory Service Calls Before enforcing policy, map the request path: source workload -> service -> destination workload -> external dependency Capture: namespace and service account for each workload. protocols and ports. internal and external dependencies. readiness and liveness probe paths. jobs, cronjobs, and maintenance callers. traffic that bypasses Kubernetes Service objects. Do not enforce mTLS from memory. Hidden callers become outage reports. ...
Service mesh incidents are request-path incidents. Debug them like one. The mesh adds useful telemetry, but it also adds another place where a request can fail. Start by proving whether the failure is application, ingress, Service/endpoints, NetworkPolicy, mesh policy, proxy health, or certificate state. Baseline The Path Write the expected path before changing anything: client -> ingress/load balancer -> source workload proxy -> destination service -> destination workload proxy -> application Then check the non-mesh objects first: ...