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Production-ready patterns for the Linkerd service mesh, the lightweight, security-first mesh for Kubernetes. It covers automatic mTLS, traffic splitting for canary releases, per-route service profiles, retry budgets, and multi-cluster setups, all with copy-ready manifests.
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Zero trust with one annotation: meshed pods get automatic mTLS and 24-hour certificate rotation without touching application code. From staged install to golden-signal debugging, this is the Linkerd rollout in order.
linkerd-patterns · core
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Setting up a lightweight service mesh with minimal overhead
Enabling zero-config automatic mTLS between services
Running canary deployments with traffic splits
Configuring per-route metrics, retries, and timeouts
Enforcing zero-trust access with authorization policies
Linking and observing multi-cluster service meshes
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Encrypt all service-to-service traffic without touching app code
license: perpetualPrevent cascading failures with retry budgets that stop retry storms
license: perpetualRoll out new versions safely with weighted canary traffic
license: perpetualSee live golden signals: success rate, latency, and throughput
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Mesh installation and validation command sequence
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Platform and DevOps engineers running Kubernetes who want lightweight, secure service-mesh networking.
then this was forged for you.Universal by design: these run in any AI. Delivered in the open Agent Skills + MCP format (native in Claude); ChatGPT, Gemini, Cursor and Copilot adapt the same files their own way.
The concepts (mTLS, canary splits, retry policies) transfer, but the manifests do not: ServiceProfile, TrafficSplit, Server, and ServerAuthorization are Linkerd resources. This is for teams running or adopting Linkerd specifically, often because they want a lighter mesh than Istio.
Linkerd's auto-injection adds a sidecar proxy at the namespace or deployment level, and the proxies negotiate mutual TLS between themselves. The skill gives you the injection templates plus the validation command sequence to confirm encryption and workload identity are actually live.
No. Everything here assumes Kubernetes: installation, auto-injection, traffic policies, and the multi-cluster linking patterns all operate on cluster resources. Off-cluster workloads are out of scope.
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