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setup-service-mesh

pjt222
업데이트됨 2 days ago
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정보

이 Claude Skill은 Kubernetes에서 서비스 메시(Istio 또는 Linkerd)를 배포 및 구성하여 마이크로서비스 간의 안전한 암호화 통신과 고급 트래픽 관리를 제공합니다. 애플리케이션 코드 변경 없이 mTLS, 카나리 배포를 위한 트래픽 라우팅, 서킷 브레이커, 가시성 등의 기능을 활성화합니다. 분산 시스템에서 서비스 간 상호작용, 보안 및 모니터링에 대한 세밀한 제어가 필요할 때 사용하세요.

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Claude Code

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기본
npx skills add pjt222/agent-almanac -a claude-code
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/plugin add https://github.com/pjt222/agent-almanac
Git 클론대체
git clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/setup-service-mesh

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문서

Setup Service Mesh

Deploy + configure service mesh for secure service-to-service comms + advanced traffic management.

When Use

  • Microservices arch needs encrypted service-to-service comms
  • Need fine-grained traffic control (canary deployments, A/B testing, traffic splitting)
  • Need observability across all service interactions without app changes
  • Enforce security policies (mTLS, authorization) at infra level
  • Implement circuit breaking, retries, timeouts consistent across services
  • Need distributed tracing + service dependency mapping

Inputs

  • Required: Kubernetes cluster with admin access
  • Required: Choice of service mesh (Istio or Linkerd)
  • Required: Namespace(s) to enable service mesh
  • Optional: Monitoring stack (Prometheus, Grafana, Jaeger)
  • Optional: Custom traffic management requirements
  • Optional: CA config for mTLS

Steps

See Extended Examples for complete configuration files and templates.

Step 1: Install Service Mesh Control Plane

Choose + install service mesh control plane.

For Istio:

curl -L https://istio.io/downloadIstio | ISTIO_VERSION=1.20.2 sh -
istioctl install --set profile=production -y
kubectl get pods -n istio-system

For Linkerd:

curl -sL https://run.linkerd.io/install | sh
linkerd check --pre
linkerd install --ha | kubectl apply -f -
linkerd check

Make service mesh config with resource limits + tracing.

# service-mesh-config.yaml (abbreviated)
spec:
  profile: production
  meshConfig:
    enableTracing: true
  components:
    pilot:
      k8s:
        resources: { requests: { cpu: 500m, memory: 2Gi } }
# See EXAMPLES.md Step 1 for complete configuration

Got: Control plane pods running in istio-system (Istio) or linkerd (Linkerd) namespace. istioctl version or linkerd version shows matching client + server versions.

If fail:

  • Check cluster has sufficient resources (at least 4 CPU cores, 8GB RAM for prod)
  • Verify Kubernetes version compat (check mesh docs)
  • Review logs: kubectl logs -n istio-system -l app=istiod or kubectl logs -n linkerd -l linkerd.io/control-plane-component=controller
  • Check for conflicting CRDs: kubectl get crd | grep istio or kubectl get crd | grep linkerd

Step 2: Enable Automatic Sidecar Injection

Configure namespaces for auto sidecar proxy injection.

For Istio:

# Label namespace for automatic injection
kubectl label namespace default istio-injection=enabled
kubectl get namespace -L istio-injection

For Linkerd:

# Annotate namespace for injection
kubectl annotate namespace default linkerd.io/inject=enabled

Test sidecar injection with sample deployment.

# test-deployment.yaml (abbreviated)
apiVersion: apps/v1
kind: Deployment
spec:
  replicas: 2
  template:
    spec:
      containers:
      - name: app
        image: nginx:alpine
# See EXAMPLES.md Step 2 for complete test deployment

Apply + verify.

kubectl apply -f test-deployment.yaml
kubectl get pods -n default
# Expect 2/2 containers (app + proxy)

Got: New pods show 2/2 containers (app + sidecar proxy). Describe shows istio-proxy or linkerd-proxy container. Logs show successful proxy startup.

If fail:

  • Check namespace labels/annotations: kubectl get ns default -o yaml
  • Verify mutating webhook active: kubectl get mutatingwebhookconfiguration
  • Review injection logs: kubectl logs -n istio-system -l app=sidecar-injector (Istio)
  • Manually inject to test: kubectl get deploy test-app -o yaml | istioctl kube-inject -f - | kubectl apply -f -

Step 3: Configure mTLS Policy

Enable mutual TLS for secure service-to-service comms.

For Istio:

# mtls-policy.yaml (abbreviated)
apiVersion: security.istio.io/v1beta1
kind: PeerAuthentication
metadata:
  name: default
  namespace: istio-system
spec:
  mtls:
    mode: STRICT
# See EXAMPLES.md Step 3 for per-namespace and permissive mode examples

For Linkerd:

# Linkerd enforces mTLS by default for meshed pods
linkerd viz tap deploy/test-app -n default
# Check for 🔒 (lock) symbol

Apply + verify.

kubectl apply -f mtls-policy.yaml
# Istio: verify mTLS status
istioctl authn tls-check $(kubectl get pod -n default -l app=test-app -o jsonpath='{.items[0].metadata.name}') -n default

Got: All connections between meshed services show mTLS enabled. Istio tls-check shows STATUS as "OK". Linkerd tap shows 🔒 for all connections. Service logs show no TLS errors.

If fail:

  • Check certificate issuance: kubectl get certificates -A (cert-manager)
  • Verify CA healthy: kubectl logs -n istio-system -l app=istiod | grep -i cert
  • Test with PERMISSIVE mode first, then transition to STRICT
  • Check for services without sidecars: kubectl get pods --all-namespaces -o json | jq '.items[] | select(.spec.containers | length == 1) | .metadata.name'

Step 4: Implement Traffic Management Rules

Configure intelligent traffic routing, retries, circuit breaking.

Make traffic management policies.

# traffic-management.yaml (abbreviated)
apiVersion: networking.istio.io/v1beta1
kind: VirtualService
spec:
  http:
  - match:
    - uri: { prefix: /api/v2 }
    route:
    - destination: { host: api-service, subset: v2 }
      weight: 10
    - destination: { host: api-service, subset: v1 }
      weight: 90
    retries: { attempts: 3, perTryTimeout: 2s }
# See EXAMPLES.md Step 4 for complete routing, circuit breaker, and gateway configs

For Linkerd traffic splitting:

apiVersion: split.smi-spec.io/v1alpha2
kind: TrafficSplit
spec:
  service: api-service
  backends:
  - service: api-service-v1
    weight: 900
  - service: api-service-v2
    weight: 100

Apply + test.

kubectl apply -f traffic-management.yaml
# Test traffic distribution
for i in {1..100}; do curl -s http://api.example.com/api/v2 | grep version; done | sort | uniq -c
# Monitor: istioctl dashboard kiali or linkerd viz dashboard

Got: Traffic splits per defined weights. Circuit breaker trips after consecutive errors. Retries occur for transient failures. Kiali/Linkerd dashboard shows traffic flow viz.

If fail:

  • Verify destination hosts resolve: kubectl get svc -n production
  • Check subset labels match pod labels: kubectl get pods -n production --show-labels
  • Review pilot logs: kubectl logs -n istio-system -l app=istiod
  • Test without circuit breaker first, add incrementally
  • Use istioctl analyze to check config: istioctl analyze -n production

Step 5: Integrate Observability Stack

Connect service mesh telemetry to monitoring + tracing systems.

Install observability addons:

# Istio: Prometheus, Grafana, Kiali, Jaeger
kubectl apply -f https://raw.githubusercontent.com/istio/istio/release-1.20/samples/addons/prometheus.yaml
kubectl apply -f https://raw.githubusercontent.com/istio/istio/release-1.20/samples/addons/grafana.yaml
kubectl apply -f https://raw.githubusercontent.com/istio/istio/release-1.20/samples/addons/kiali.yaml
kubectl apply -f https://raw.githubusercontent.com/istio/istio/release-1.20/samples/addons/jaeger.yaml

# Linkerd
linkerd viz install | kubectl apply -f -
linkerd jaeger install | kubectl apply -f -

Configure custom metrics + dashboards.

# service-monitor.yaml (abbreviated)
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
  name: istio-mesh-metrics
spec:
  selector: { matchLabels: { app: istiod } }
  endpoints:
  - port: http-monitoring
    interval: 30s
# See EXAMPLES.md Step 5 for Grafana dashboards and telemetry config

Access dashboards.

istioctl dashboard grafana  # or: linkerd viz dashboard
istioctl dashboard kiali
istioctl dashboard jaeger

Got: Dashboards show service topology, request rates, latency percentiles, error rates. Distributed traces in Jaeger. Prometheus scraping mesh metrics. Custom metrics in queries.

If fail:

  • Verify Prometheus scraping: kubectl get servicemonitor -A
  • Check addon pods running: kubectl get pods -n istio-system
  • Review telemetry config: istioctl proxy-config log <pod-name> -n <namespace>
  • Verify mesh config has telemetry enabled: kubectl get configmap istio -n istio-system -o yaml | grep -A 5 enableTracing
  • Check for port conflicts if port-forward fails

Step 6: Validate and Monitor Mesh Health

Run comprehensive health checks + set up ongoing monitoring.

# Istio validation
istioctl analyze --all-namespaces
istioctl verify-install
istioctl proxy-status

# Linkerd validation
linkerd check
linkerd viz check
linkerd diagnostics policy

# Check proxy sync status
kubectl get pods -n production -o json | \
  jq '.items[] | {name: .metadata.name, proxy: .status.containerStatuses[] | select(.name=="istio-proxy").ready}'

# Monitor control plane health
kubectl get pods -n istio-system -w
kubectl top pods -n istio-system

Make health check script + alerts.

#!/bin/bash
# mesh-health-check.sh (abbreviated)
echo "=== Service Mesh Health Check ==="
kubectl get pods -n istio-system
istioctl analyze --all-namespaces
# See EXAMPLES.md Step 6 for complete health check script and alert configs

Got: All analysis checks pass with no warnings. Proxy-status shows all proxies synced. mTLS check confirms encryption. Metrics show traffic flowing. Control plane pods stable with low resource usage.

If fail:

  • Address specific issues from istioctl analyze output
  • Check proxy logs for individual pods: kubectl logs <pod> -c istio-proxy -n <namespace>
  • Verify network policies not blocking mesh traffic
  • Review control plane logs for errors: kubectl logs -n istio-system deploy/istiod --tail=100
  • Restart problematic proxies: kubectl rollout restart deploy/<deployment> -n <namespace>

Checks

  • Control plane pods running + healthy (istiod/linkerd-controller)
  • Sidecar proxies injected into all app pods (2/2 containers)
  • mTLS enabled + functioning (verified with tls-check/tap)
  • Traffic management rules routing requests correct (verified with curl tests)
  • Circuit breaker trips on repeated failures (tested with fault injection)
  • Observability dashboards showing metrics (Grafana/Kiali/Linkerd Viz)
  • Distributed traces captured in Jaeger for sample requests
  • No config warnings from istioctl analyze/linkerd check
  • Proxy sync status shows all proxies in sync
  • Service-to-service comms encrypted (verified in logs/dashboards)

Pitfalls

  • Resource Exhaustion: Service mesh adds 100-200MB memory per pod for sidecars. Ensure cluster has sufficient capacity. Set appropriate resource limits in injection config.

  • Configuration Conflicts: Multiple VirtualServices for same host = undefined behavior. Use single VirtualService per host with multiple match conditions.

  • Certificate Expiration: mTLS certificates auto-rotate but CA root must be managed. Monitor cert expiry with: kubectl get certificate -A, set up alerts.

  • Sidecar Not Injected: Pods created before namespace labeling will not have sidecars. Must recreate: kubectl rollout restart deploy/<name> -n <namespace>.

  • DNS Resolution Issues: Service mesh intercepts DNS. Use fully qualified names (service.namespace.svc.cluster.local) for cross-namespace calls.

  • Port Naming Requirement: Istio needs named ports following protocol-name pattern (http-web, tcp-db). Unnamed ports default to TCP passthrough.

  • Gradual Rollout Required: Do not enable STRICT mTLS immediately in prod. Use PERMISSIVE during migration, verify all services meshed, then switch to STRICT.

  • Observability Overhead: 100% tracing sampling causes performance issues. Use 1-10% for prod: sampling: 1.0 in mesh config.

  • Gateway vs VirtualService Confusion: Gateway configures ingress (load balancer), VirtualService configures routing. Both required for external traffic.

  • Version Compatibility: Ensure mesh version compat with Kubernetes version. Istio supports n-1 minor versions, Linkerd typically supports last 3 Kubernetes versions.

See Also

  • configure-ingress-networking - Gateway config complements mesh ingress
  • deploy-to-kubernetes - App deployment patterns that work with service mesh
  • setup-prometheus-monitoring - Prometheus integration for mesh metrics
  • manage-kubernetes-secrets - Cert management for mTLS
  • enforce-policy-as-code - OPA policies that work alongside mesh authorization

GitHub 저장소

pjt222/agent-almanac
경로: i18n/caveman/skills/setup-service-mesh
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agentsagentskillsai-assisted-developmentclaude-codeskillsteams

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