Implement Linkerd Service Mesh Patterns
Production Linkerd patterns - mTLS, ServiceProfiles, canary traffic splits, retries, and multi-cluster mesh setup.
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Why it matters
Streamline your Kubernetes deployments and enhance service reliability by implementing advanced Linkerd service mesh patterns. This asset provides guidance and templates for setting up and managing a secure, efficient service mesh.
Outcomes
What it gets done
Configure automatic mTLS for secure communication.
Implement traffic splitting for canary deployments and A/B testing.
Set up service profiles for per-route metrics, retries, and timeouts.
Establish multi-cluster service mesh connectivity.
Install
Add it to your toolbox
Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/ag-linkerd-patterns | bash After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.
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Overview
Linkerd Patterns
Production Linkerd service mesh patterns: installation, automatic mTLS, ServiceProfile retries/timeouts, TrafficSplit canary deployments, ServerAuthorization policy, HTTPRoute, and multi-cluster setup. Use when setting up a Linkerd service mesh, configuring mTLS, canary traffic splits, retry/timeout policy, or multi-cluster mesh.
What it does
Linkerd Patterns covers production patterns for Linkerd, a lightweight, security-first service mesh for Kubernetes, structured around a control plane (destiny, identity, proxy-inject) and a data plane of per-pod sidecar proxies. Four key resources are named: ServiceProfile for per-route metrics/retries/timeouts, TrafficSplit for canary deployments and A/B testing, Server for defining server-side policies, and ServerAuthorization for access control. Seven templates cover the full workflow: mesh installation (CLI install, downloading and reviewing the installer before executing it, linkerd check --pre, installing CRDs then the control plane, and optionally the viz extension); namespace or per-deployment automatic sidecar injection via the linkerd.io/inject annotation; a ServiceProfile defining per-route retry eligibility, timeouts, and a retry budget (retryRatio, minRetriesPerSecond, ttl); a TrafficSplit for weighted canary traffic:
apiVersion: split.smi-spec.io/v1alpha1
kind: TrafficSplit
metadata:
name: my-service-canary
namespace: my-namespace
spec:
service: my-service
backends:
- service: my-service-stable
weight: 900m # 90%
- service: my-service-canary
weight: 100m # 10%
a Server plus ServerAuthorization pair restricting traffic to specific mTLS service accounts or allowing unauthenticated ingress from a defined CIDR; an HTTPRoute for path- and header-based advanced routing to different backend versions; and a multi-cluster setup linking clusters and exporting services across them via the mirror.linkerd.io/exported label.
When to use - and when NOT to
Use this skill when setting up a lightweight service mesh, implementing automatic mTLS, configuring traffic splits for canary deployments, setting up service profiles for per-route metrics, implementing retries and timeouts, or building a multi-cluster service mesh.
Inputs and outputs
Given a Linkerd task, the skill outputs the matching YAML resource or CLI command sequence, plus monitoring commands (linkerd viz top/routes/stat/edges/dashboard for live traffic, per-route metrics, proxy status, service dependencies, and the web dashboard) and debugging commands (linkerd check --proxy for injection status, proxy logs via kubectl, linkerd identity for TLS debugging, and linkerd viz tap for live traffic inspection).
Integrations
Built on Linkerd's control-plane/data-plane architecture and its CRDs (ServiceProfile, TrafficSplit via the SMI spec, Server and ServerAuthorization, HTTPRoute). Stated best practices: enable mTLS everywhere since it's automatic with Linkerd, use ServiceProfiles for per-route metrics and retries, set retry budgets to prevent retry storms, and monitor golden metrics (success rate, latency, throughput) - alongside four don'ts: don't skip linkerd check after changes, don't over-configure since Linkerd's defaults are sensible, don't ignore ServiceProfiles, and don't forget per-route timeouts.
Who it's for
Platform engineers running Linkerd on Kubernetes who need concrete, working YAML for mTLS authorization, canary traffic splits, retry/timeout policy, and multi-cluster setup, plus the monitoring and debugging commands to operate it in production.
FAQ
Common questions
Discussion
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