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Breaks down how the skill works and what it produces, so you can quickly judge whether it fits your scenario and value.
When setting up a lightweight service mesh on Kubernetes, configuring automatic mTLS, traffic splits for canary, service profiles for per-route metrics, retries/timeouts, or multi-cluster mesh.
User gets runnable Linkerd patterns with minimal overhead: zero-trust mTLS, canary traffic, policy control, and observable mesh operations.
Use Cases
A platform engineer needs to add zero-trust mTLS and canary releases to a Kubernetes microservice system. Using this skill, they apply the install template, enable namespace injection, and define TrafficSplit + ServiceProfile YAMLs. Result: automatic encrypted traffic, per-route metrics, and safe 10% canary rollout without code changes.
An SRE on-call faces intermittent 5xx between services. They use the skill's debugging section: run `linkerd viz tap` and `linkerd check --proxy`, then add a ServiceProfile with retry budget and timeouts from the template. Result: identified retry storm, stabilized success rate, and gained live per-route visibility.
Skill Relationships
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Skill File
