setup-service-mesh
О программе
Этот навык Claude развертывает и настраивает сервисную сетку (Istio или Linkerd) в Kubernetes для обеспечения защищенного, зашифрованного взаимодействия и расширенного управления трафиком между микросервисами. Он включает такие функции, как mTLS, маршрутизация трафика для канареечных развертываний, отказоустойчивость и наблюдаемость без необходимости изменять код приложений. Используйте его, когда требуется детальный контроль над взаимодействием сервисов, безопасностью и мониторингом в распределенной системе.
Быстрая установка
Claude Code
Рекомендуетсяnpx skills add pjt222/agent-almanac -a claude-code/plugin add https://github.com/pjt222/agent-almanacgit clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/setup-service-meshСкопируйте и вставьте эту команду в Claude Code для установки этого навыка
Документация
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=istiodorkubectl logs -n linkerd -l linkerd.io/control-plane-component=controller - Check for conflicting CRDs:
kubectl get crd | grep istioorkubectl 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 analyzeto 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 analyzeoutput - 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: 1.0in 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 ingressdeploy-to-kubernetes- App deployment patterns that work with service meshsetup-prometheus-monitoring- Prometheus integration for mesh metricsmanage-kubernetes-secrets- Cert management for mTLSenforce-policy-as-code- OPA policies that work alongside mesh authorization
GitHub репозиторий
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