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Istio 指标

支持的版本: Istio 1.28 最后更新: February 19, 2026

Istio 会自动收集 Service Mesh(服务网格)中所有流量的指标,并与 Prometheus 和 OpenTelemetry 等各种后端集成,以提供全面的可观测性。

目录

  1. 指标概述
  2. Istio 标准指标
  3. Circuit Breaker 指标
  4. 弹性指标
  5. OpenTelemetry 集成
  6. Prometheus 集成
  7. 使用 Telemetry API 进行自定义
  8. 实用指标查询
  9. 指标优化
  10. 故障排除

指标概述

黄金信号

Istio 会根据 Google 的 SRE 原则自动收集黄金信号:

  1. 延迟:请求处理时间
  2. 流量:系统吞吐量(RPS、带宽)
  3. 错误:失败率和错误类型
  4. 饱和度:资源利用率

指标收集架构

Istio 标准指标

HTTP/gRPC 指标

Istio 会为所有 HTTP/gRPC 流量生成以下指标:

istio_requests_total

类型:Counter 描述:已处理请求的总数

promql
istio_requests_total{
  reporter="source",  # or "destination"
  source_workload="productpage-v1",
  source_workload_namespace="default",
  source_principal="spiffe://cluster.local/ns/default/sa/bookinfo-productpage",
  source_app="productpage",
  source_version="v1",
  source_canonical_service="productpage",
  source_canonical_revision="v1",
  destination_workload="reviews-v1",
  destination_workload_namespace="default",
  destination_principal="spiffe://cluster.local/ns/default/sa/bookinfo-reviews",
  destination_app="reviews",
  destination_version="v1",
  destination_service="reviews.default.svc.cluster.local",
  destination_service_name="reviews",
  destination_service_namespace="default",
  destination_canonical_service="reviews",
  destination_canonical_revision="v1",
  request_protocol="http",
  response_code="200",
  response_flags="-",
  connection_security_policy="mutual_tls",
  grpc_response_status="",
  destination_cluster="",
  source_cluster=""
}

关键标签

  • response_code:HTTP 状态码(200、404、500 等)
  • response_flags:Envoy 响应标志
    • UH:上游连接失败
    • UF:上游连接失败
    • UR:上游请求超时
    • DC:下游连接终止
    • LR:本地重置
    • URX:被 Circuit Breaker 拒绝
  • connection_security_policy:mTLS 状态(mutual_tlsnone

istio_request_duration_milliseconds

类型:Histogram 描述:请求处理时间(毫秒)

promql
istio_request_duration_milliseconds_bucket{le="10"}  # 10ms or less
istio_request_duration_milliseconds_bucket{le="50"}  # 50ms or less
istio_request_duration_milliseconds_bucket{le="100"} # 100ms or less
istio_request_duration_milliseconds_bucket{le="500"} # 500ms or less
istio_request_duration_milliseconds_sum            # Total time
istio_request_duration_milliseconds_count          # Total request count

istio_request_bytes

类型:Histogram 描述:请求正文大小(字节)

promql
istio_request_bytes_bucket{le="1024"}   # 1KB or less
istio_request_bytes_bucket{le="10240"}  # 10KB or less
istio_request_bytes_sum
istio_request_bytes_count

istio_response_bytes

类型:Histogram 描述:响应正文大小(字节)

promql
istio_response_bytes_bucket{le="1024"}
istio_response_bytes_bucket{le="10240"}
istio_response_bytes_sum
istio_response_bytes_count

TCP 指标

istio_tcp_connections_opened_total

类型:Counter 描述:已打开 TCP 连接的数量

promql
istio_tcp_connections_opened_total{
  reporter="source",
  source_workload="mongodb-v1",
  destination_service="mongodb.default.svc.cluster.local"
}

istio_tcp_connections_closed_total

类型:Counter 描述:已关闭 TCP 连接的数量

istio_tcp_sent_bytes_total

类型:Counter 描述:已发送的字节数

istio_tcp_received_bytes_total

类型:Counter 描述:已接收的字节数

Circuit Breaker 指标

用于监控 Circuit Breaker 和 Outlier Detection 行为的关键指标。

关键 Circuit Breaker 指标

1. 上游连接池溢出

promql
# Requests rejected due to connection pool overflow
envoy_cluster_upstream_rq_pending_overflow{
  cluster_name="outbound|80||httpbin.default.svc.cluster.local"
}

含义:超过 maxConnections 限制

2. Circuit Breaker 开启(上游请求被拒绝)

promql
# Requests rejected by circuit breaker
envoy_cluster_circuit_breakers_default_rq_open{
  cluster_name="outbound|80||httpbin.default.svc.cluster.local"
}

3. 待处理请求溢出

promql
# Pending request count exceeded
envoy_cluster_upstream_rq_pending_overflow{
  cluster_name="outbound|80||httpbin.default.svc.cluster.local"
}

含义:超过 http1MaxPendingRequestshttp2MaxRequests

4. 重试预算耗尽

promql
# Retry budget exhausted
envoy_cluster_upstream_rq_retry_overflow{
  cluster_name="outbound|80||httpbin.default.svc.cluster.local"
}

5. 通过响应标志检测 Circuit Breaker

promql
# Requests rejected by circuit breaker (response_flags="UO")
sum(rate(istio_requests_total{
  response_flags=~".*UO.*",
  destination_service="httpbin.default.svc.cluster.local"
}[5m]))

响应标志详情

  • UO:上游溢出(Circuit Breaker 开启)
  • URX:被 Circuit Breaker 拒绝
  • UF:上游连接失败
  • UH:没有健康的上游

Circuit Breaker 监控仪表板查询

promql
# 1. Circuit breaker trigger rate
sum(rate(envoy_cluster_circuit_breakers_default_rq_open[5m])) by (cluster_name)
/
sum(rate(envoy_cluster_upstream_rq_total[5m])) by (cluster_name)
* 100

# 2. Connection pool utilization
envoy_cluster_upstream_cx_active{cluster_name="outbound|80||httpbin.default.svc.cluster.local"}
/
envoy_cluster_circuit_breakers_default_cx_max{cluster_name="outbound|80||httpbin.default.svc.cluster.local"}
* 100

# 3. Pending request utilization
envoy_cluster_upstream_rq_pending_active{cluster_name="outbound|80||httpbin.default.svc.cluster.local"}
/
envoy_cluster_circuit_breakers_default_rq_pending_max{cluster_name="outbound|80||httpbin.default.svc.cluster.local"}
* 100

# 4. Requests rejected by circuit breaker
sum(increase(envoy_cluster_upstream_rq_pending_overflow[5m])) by (cluster_name)

Circuit Breaker 告警规则

yaml
groups:
- name: istio_circuit_breaker
  interval: 30s
  rules:
  - alert: CircuitBreakerOpen
    expr: |
      rate(envoy_cluster_circuit_breakers_default_rq_open[1m]) > 0
    for: 1m
    labels:
      severity: warning
    annotations:
      summary: "Circuit breaker opened for {{ $labels.cluster_name }}"
      description: "Circuit breaker has opened for cluster {{ $labels.cluster_name }}"

  - alert: HighConnectionPoolUsage
    expr: |
      (envoy_cluster_upstream_cx_active
      /
      envoy_cluster_circuit_breakers_default_cx_max) > 0.8
    for: 5m
    labels:
      severity: warning
    annotations:
      summary: "High connection pool usage for {{ $labels.cluster_name }}"
      description: "Connection pool usage is above 80% for {{ $labels.cluster_name }}"

  - alert: PendingRequestsOverflow
    expr: |
      rate(envoy_cluster_upstream_rq_pending_overflow[5m]) > 0
    for: 2m
    labels:
      severity: critical
    annotations:
      summary: "Pending requests overflow for {{ $labels.cluster_name }}"
      description: "Requests are being rejected due to pending queue overflow"

弹性指标

Outlier Detection 指标

1. 被驱逐的主机

promql
# Number of hosts ejected by outlier detection
envoy_cluster_outlier_detection_ejections_active{
  cluster_name="outbound|80||httpbin.default.svc.cluster.local"
}

2. 驱逐事件

promql
# Ejection event rate
rate(envoy_cluster_outlier_detection_ejections_total[5m])

按驱逐类型

promql
# Consecutive 5xx errors
envoy_cluster_outlier_detection_ejections_consecutive_5xx

# Success rate based
envoy_cluster_outlier_detection_ejections_success_rate

# Failure percentage based
envoy_cluster_outlier_detection_ejections_failure_percentage

重试指标

promql
# Number of retried requests
rate(envoy_cluster_upstream_rq_retry[5m])

# Retry success rate
rate(envoy_cluster_upstream_rq_retry_success[5m])
/
rate(envoy_cluster_upstream_rq_retry[5m])

# Retry budget exhausted
rate(envoy_cluster_upstream_rq_retry_overflow[5m])

超时指标

promql
# Requests that timed out
sum(rate(istio_requests_total{
  response_flags=~".*UT.*"
}[5m])) by (destination_service)

# Timeout rate
sum(rate(istio_requests_total{response_flags=~".*UT.*"}[5m]))
/
sum(rate(istio_requests_total[5m]))
* 100

OpenTelemetry 集成

OpenTelemetry Collector 配置

Istio 可以通过 OpenTelemetry 协议导出指标。

1. MeshConfig 配置

yaml
apiVersion: v1
kind: ConfigMap
metadata:
  name: istio
  namespace: istio-system
data:
  mesh: |
    defaultConfig:
      tracing: {} # Tracing configuration
    extensionProviders:
    - name: otel
      opentelemetry:
        service: opentelemetry-collector.observability.svc.cluster.local
        port: 4317
    - name: otel-tracing
      opentelemetry:
        service: opentelemetry-collector.observability.svc.cluster.local
        port: 4317
        resource_detectors:
          environment: {}

2. 使用 Telemetry API 启用 OpenTelemetry

yaml
apiVersion: telemetry.istio.io/v1alpha1
kind: Telemetry
metadata:
  name: otel-metrics
  namespace: istio-system
spec:
  metrics:
  - providers:
    - name: otel
    overrides:
    - match:
        metric: ALL_METRICS
      mode: CLIENT_AND_SERVER

3. 部署 OpenTelemetry Collector

yaml
apiVersion: v1
kind: ConfigMap
metadata:
  name: otel-collector-config
  namespace: observability
data:
  config.yaml: |
    receivers:
      otlp:
        protocols:
          grpc:
            endpoint: 0.0.0.0:4317
          http:
            endpoint: 0.0.0.0:4318

    processors:
      batch:
        timeout: 10s
        send_batch_size: 1024

      memory_limiter:
        check_interval: 1s
        limit_mib: 512

      # Add additional attributes to Istio metrics
      attributes:
        actions:
        - key: cluster.name
          value: production
          action: insert

    exporters:
      prometheus:
        endpoint: "0.0.0.0:8889"
        namespace: istio
        const_labels:
          environment: production

      otlp:
        endpoint: tempo:4317
        tls:
          insecure: true

      logging:
        loglevel: debug

    service:
      pipelines:
        metrics:
          receivers: [otlp]
          processors: [memory_limiter, batch, attributes]
          exporters: [prometheus, logging]
        traces:
          receivers: [otlp]
          processors: [memory_limiter, batch]
          exporters: [otlp, logging]
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: otel-collector
  namespace: observability
spec:
  replicas: 2
  selector:
    matchLabels:
      app: otel-collector
  template:
    metadata:
      labels:
        app: otel-collector
    spec:
      containers:
      - name: otel-collector
        image: otel/opentelemetry-collector-contrib:0.96.0
        args:
        - --config=/etc/otel/config.yaml
        ports:
        - containerPort: 4317  # OTLP gRPC
          name: otlp-grpc
        - containerPort: 4318  # OTLP HTTP
          name: otlp-http
        - containerPort: 8889  # Prometheus metrics
          name: prometheus
        volumeMounts:
        - name: config
          mountPath: /etc/otel
        resources:
          requests:
            cpu: 200m
            memory: 512Mi
          limits:
            cpu: 1000m
            memory: 2Gi
      volumes:
      - name: config
        configMap:
          name: otel-collector-config
---
apiVersion: v1
kind: Service
metadata:
  name: opentelemetry-collector
  namespace: observability
spec:
  selector:
    app: otel-collector
  ports:
  - name: otlp-grpc
    port: 4317
    targetPort: 4317
  - name: otlp-http
    port: 4318
    targetPort: 4318
  - name: prometheus
    port: 8889
    targetPort: 8889

4. Prometheus ServiceMonitor 配置

yaml
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
  name: otel-collector
  namespace: observability
spec:
  selector:
    matchLabels:
      app: otel-collector
  endpoints:
  - port: prometheus
    interval: 15s
    path: /metrics

OpenTelemetry 指标验证

bash
# 1. Check OpenTelemetry Collector logs
kubectl logs -n observability deployment/otel-collector

# 2. Check Collector metrics
kubectl port-forward -n observability svc/opentelemetry-collector 8889:8889
curl http://localhost:8889/metrics

# 3. Verify Envoy is sending metrics
istioctl proxy-config log deploy/productpage-v1 --level debug
kubectl logs -n default deploy/productpage-v1 -c istio-proxy | grep -i otel

Prometheus 集成

Prometheus 配置

1. Prometheus ConfigMap

yaml
apiVersion: v1
kind: ConfigMap
metadata:
  name: prometheus-config
  namespace: istio-system
data:
  prometheus.yml: |
    global:
      scrape_interval: 15s
      evaluation_interval: 15s

    scrape_configs:
    # Istio mesh metrics
    - job_name: 'istio-mesh'
      kubernetes_sd_configs:
      - role: endpoints
        namespaces:
          names:
          - istio-system
      relabel_configs:
      - source_labels: [__meta_kubernetes_service_name, __meta_kubernetes_endpoint_port_name]
        action: keep
        regex: istio-telemetry;prometheus

    # Envoy sidecar metrics
    - job_name: 'envoy-stats'
      metrics_path: /stats/prometheus
      kubernetes_sd_configs:
      - role: pod
      relabel_configs:
      - source_labels: [__meta_kubernetes_pod_container_port_name]
        action: keep
        regex: '.*-envoy-prom'
      - source_labels: [__address__, __meta_kubernetes_pod_annotation_prometheus_io_port]
        action: replace
        regex: ([^:]+)(?::\d+)?;(\d+)
        replacement: $1:15020
        target_label: __address__
      - action: labeldrop
        regex: __meta_kubernetes_pod_label_(.+)
      - source_labels: [__meta_kubernetes_namespace]
        action: replace
        target_label: namespace
      - source_labels: [__meta_kubernetes_pod_name]
        action: replace
        target_label: pod_name

    # Istiod metrics
    - job_name: 'istiod'
      kubernetes_sd_configs:
      - role: endpoints
        namespaces:
          names:
          - istio-system
      relabel_configs:
      - source_labels: [__meta_kubernetes_service_name, __meta_kubernetes_endpoint_port_name]
        action: keep
        regex: istiod;http-monitoring

    # Istio gateways
    - job_name: 'istio-gateway'
      kubernetes_sd_configs:
      - role: pod
      relabel_configs:
      - source_labels: [__meta_kubernetes_pod_label_istio]
        action: keep
        regex: ingressgateway|egressgateway
      - source_labels: [__address__]
        action: replace
        regex: ([^:]+)(?::\d+)?
        replacement: $1:15020
        target_label: __address__

2. 使用 ServiceMonitor 自动抓取

yaml
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
  name: istio-component-monitor
  namespace: istio-system
  labels:
    monitoring: istio-components
spec:
  selector:
    matchExpressions:
    - key: istio
      operator: In
      values:
      - pilot
  endpoints:
  - port: http-monitoring
    interval: 15s
---
apiVersion: monitoring.coreos.com/v1
kind: PodMonitor
metadata:
  name: envoy-stats-monitor
  namespace: istio-system
  labels:
    monitoring: istio-proxies
spec:
  selector:
    matchExpressions:
    - key: istio-prometheus-ignore
      operator: DoesNotExist
  podMetricsEndpoints:
  - path: /stats/prometheus
    interval: 15s
    relabelings:
    - sourceLabels: [__meta_kubernetes_pod_container_port_name]
      action: keep
      regex: '.*-envoy-prom'

Prometheus 查询优化

promql
# Recording Rules to pre-compute frequently used queries
groups:
- name: istio_recording_rules
  interval: 30s
  rules:
  # Request rate by service
  - record: istio:service:request_rate:5m
    expr: |
      sum(rate(istio_requests_total[5m])) by (destination_service_name, destination_service_namespace)

  # Error rate by service
  - record: istio:service:error_rate:5m
    expr: |
      sum(rate(istio_requests_total{response_code=~"5.."}[5m])) by (destination_service_name)
      /
      sum(rate(istio_requests_total[5m])) by (destination_service_name)

  # P95 latency by service
  - record: istio:service:latency_p95:5m
    expr: |
      histogram_quantile(0.95,
        sum(rate(istio_request_duration_milliseconds_bucket[5m]))
        by (destination_service_name, le)
      )

  # Circuit breaker trigger rate
  - record: istio:circuit_breaker:open_rate:1m
    expr: |
      rate(envoy_cluster_circuit_breakers_default_rq_open[1m])

使用 Telemetry API 进行自定义

指标自定义

1. 仅启用特定指标

yaml
apiVersion: telemetry.istio.io/v1alpha1
kind: Telemetry
metadata:
  name: custom-metrics
  namespace: istio-system
spec:
  metrics:
  - providers:
    - name: prometheus
    overrides:
    # Enable only request metrics
    - match:
        metric: REQUEST_COUNT
      mode: CLIENT_AND_SERVER
    - match:
        metric: REQUEST_DURATION
      mode: CLIENT_AND_SERVER
    # Disable TCP metrics
    - match:
        metric: TCP_OPENED_CONNECTIONS
      disabled: true
    - match:
        metric: TCP_CLOSED_CONNECTIONS
      disabled: true

2. 添加自定义标签

yaml
apiVersion: telemetry.istio.io/v1alpha1
kind: Telemetry
metadata:
  name: custom-tags
  namespace: prod
spec:
  metrics:
  - providers:
    - name: prometheus
    overrides:
    - match:
        metric: ALL_METRICS
      tagOverrides:
        # Add request headers as labels
        request_id:
          value: "request.headers['x-request-id']"
        user_agent:
          value: "request.headers['user-agent']"
        # Add response headers as labels
        upstream_cluster:
          value: "response.headers['x-envoy-upstream-service-time']"
        # Custom attributes
        api_version:
          value: "request.path | split('/')[2]"

3. Namespace 专用指标配置

yaml
apiVersion: telemetry.istio.io/v1alpha1
kind: Telemetry
metadata:
  name: namespace-metrics
  namespace: production
spec:
  metrics:
  - providers:
    - name: prometheus
    overrides:
    - match:
        metric: REQUEST_COUNT
        mode: CLIENT_AND_SERVER
      tagOverrides:
        environment:
          value: "production"

4. 通过禁用指标提升性能

yaml
apiVersion: telemetry.istio.io/v1alpha1
kind: Telemetry
metadata:
  name: disable-tcp-metrics
  namespace: istio-system
spec:
  metrics:
  - providers:
    - name: prometheus
    overrides:
    # Completely disable TCP metrics
    - match:
        metric: TCP_OPENED_CONNECTIONS
      disabled: true
    - match:
        metric: TCP_CLOSED_CONNECTIONS
      disabled: true
    - match:
        metric: TCP_SENT_BYTES
      disabled: true
    - match:
        metric: TCP_RECEIVED_BYTES
      disabled: true

实用指标查询

黄金信号仪表板

1. 延迟

promql
# P50 latency
histogram_quantile(0.50,
  sum(rate(istio_request_duration_milliseconds_bucket{
    destination_service_name="reviews"
  }[5m])) by (le)
)

# P95 latency
histogram_quantile(0.95,
  sum(rate(istio_request_duration_milliseconds_bucket{
    destination_service_name="reviews"
  }[5m])) by (le)
)

# P99 latency
histogram_quantile(0.99,
  sum(rate(istio_request_duration_milliseconds_bucket{
    destination_service_name="reviews"
  }[5m])) by (le)
)

# Average latency by service
sum(rate(istio_request_duration_milliseconds_sum{reporter="destination"}[5m])) by (destination_service_name)
/
sum(rate(istio_request_duration_milliseconds_count{reporter="destination"}[5m])) by (destination_service_name)

2. 流量

promql
# Request rate by service (RPS)
sum(rate(istio_requests_total{reporter="destination"}[1m])) by (destination_service_name)

# Total request rate
sum(rate(istio_requests_total{reporter="destination"}[1m]))

# Inbound traffic by service (bytes/sec)
sum(rate(istio_request_bytes_sum{reporter="destination"}[1m])) by (destination_service_name)

# Outbound traffic by service (bytes/sec)
sum(rate(istio_response_bytes_sum{reporter="destination"}[1m])) by (destination_service_name)

# Request distribution by HTTP method
sum(rate(istio_requests_total{reporter="destination"}[5m])) by (request_protocol, destination_service_name)

3. 错误

promql
# Error rate (5xx errors)
sum(rate(istio_requests_total{response_code=~"5..", reporter="destination"}[5m])) by (destination_service_name)
/
sum(rate(istio_requests_total{reporter="destination"}[5m])) by (destination_service_name)
* 100

# Separate 4xx vs 5xx
sum(rate(istio_requests_total{response_code=~"4..", reporter="destination"}[5m])) by (destination_service_name)
sum(rate(istio_requests_total{response_code=~"5..", reporter="destination"}[5m])) by (destination_service_name)

# Track specific error codes
sum(rate(istio_requests_total{response_code="503", reporter="destination"}[5m])) by (destination_service_name)

# Analyze error types via response flags
sum(rate(istio_requests_total{response_flags!~"-", reporter="destination"}[5m])) by (response_flags, destination_service_name)

4. 饱和度

promql
# Connection pool utilization
(envoy_cluster_upstream_cx_active / envoy_cluster_circuit_breakers_default_cx_max) * 100

# Active request count
envoy_cluster_upstream_rq_active

# Pending request count
envoy_cluster_upstream_rq_pending_active

# Envoy memory usage
envoy_server_memory_allocated / envoy_server_memory_heap_size * 100

mTLS 监控

promql
# mTLS usage rate
sum(rate(istio_requests_total{
  connection_security_policy="mutual_tls",
  reporter="destination"
}[5m]))
/
sum(rate(istio_requests_total{reporter="destination"}[5m]))
* 100

# Detect non-mTLS traffic
sum(rate(istio_requests_total{
  connection_security_policy="none",
  reporter="destination"
}[5m])) by (source_workload, destination_workload)

# mTLS authentication failures
sum(rate(istio_requests_total{
  response_code="401",
  connection_security_policy="mutual_tls"
}[5m])) by (destination_service_name)

Service Mesh 健康仪表板

promql
# 1. Control plane status
up{job="istiod"}

# 2. Pilot push errors
rate(pilot_xds_push_errors[5m])

# 3. Envoy configuration update delays
rate(pilot_xds_pushes[5m])

# 4. Envoy proxy version distribution
count(envoy_server_version) by (envoy_server_version)

# 5. Detect stale proxies (older than 24 hours)
(time() - envoy_server_uptime) > 86400

指标优化

解决高基数问题

1. 移除不必要的标签

yaml
apiVersion: telemetry.istio.io/v1alpha1
kind: Telemetry
metadata:
  name: reduce-cardinality
  namespace: istio-system
spec:
  metrics:
  - providers:
    - name: prometheus
    overrides:
    - match:
        metric: ALL_METRICS
      tagOverrides:
        # Remove high cardinality labels
        request_id:
          operation: REMOVE
        user_agent:
          operation: REMOVE

2. 规范化标签值

yaml
apiVersion: telemetry.istio.io/v1alpha1
kind: Telemetry
metadata:
  name: normalize-labels
  namespace: prod
spec:
  metrics:
  - providers:
    - name: prometheus
    overrides:
    - match:
        metric: REQUEST_COUNT
      tagOverrides:
        # Normalize HTTP methods (GET, POST, PUT, DELETE, OTHER)
        request_protocol:
          value: |
            request.protocol == "http" ?
              (request.method in ["GET", "POST", "PUT", "DELETE"] ? request.method : "OTHER")
              : request.protocol

指标采样

通过 Envoy 统计信息采样降低内存和 CPU 使用量:

yaml
apiVersion: install.istio.io/v1alpha1
kind: IstioOperator
spec:
  meshConfig:
    defaultConfig:
      proxyStatsMatcher:
        inclusionRegexps:
        - ".*upstream_rq_timeout.*"
        - ".*upstream_cx_connect_timeout.*"
        - ".*upstream_cx_connect_fail.*"
        - ".*upstream_rq_pending_overflow.*"
        - ".*circuit_breakers.*"
        - ".*outlier_detection.*"

Prometheus 性能调优

yaml
global:
  scrape_interval: 30s  # Default: 15s
  evaluation_interval: 30s

# Separate long-term storage with remote write
remote_write:
- url: http://victoria-metrics:8428/api/v1/write
  queue_config:
    capacity: 10000
    max_shards: 5
    min_shards: 1
    max_samples_per_send: 5000

# Remove unnecessary labels with metric relabeling
metric_relabel_configs:
- source_labels: [__name__]
  regex: 'istio_tcp_.*'
  action: drop  # Remove TCP metrics

故障排除

未收集指标时

1. 检查 Envoy 指标端点

bash
# Check Envoy admin port
kubectl exec -it <pod-name> -c istio-proxy -- curl localhost:15000/stats/prometheus | head -20

# Check metrics filter
istioctl proxy-config bootstrap <pod-name> -o json | jq '.bootstrap.statsConfig'

2. 检查 Prometheus 是否发现目标

bash
# Check Targets page in Prometheus UI
kubectl port-forward -n istio-system svc/prometheus 9090:9090

# In browser: http://localhost:9090/targets

3. 验证 Telemetry API 配置

bash
# Check Telemetry resources
kubectl get telemetry -A

# Check specific Telemetry details
kubectl describe telemetry <name> -n <namespace>

# Check if reflected in Envoy config
istioctl proxy-config log <pod-name> -o json | jq '.stats'

指标标签缺失时

bash
# 1. Check if Envoy generates correct labels
kubectl exec -it <pod-name> -c istio-proxy -- curl localhost:15000/stats/prometheus | grep istio_requests_total | head -1

# 2. Check Prometheus relabeling rules
kubectl get configmap prometheus-config -n istio-system -o yaml

# 3. Check ServiceMonitor/PodMonitor
kubectl get servicemonitor,podmonitor -n istio-system

指标基数爆炸

bash
# 1. Check metric cardinality
kubectl exec -it -n istio-system <prometheus-pod> -- sh -c \
  'wget -O- "http://localhost:9090/api/v1/label/__name__/values" 2>/dev/null' | \
  jq '.data | length'

# 2. Check time series count for specific metrics
curl http://localhost:9090/api/v1/query?query='count(istio_requests_total)%20by%20(__name__)'

# 3. Check cardinality by label
count by (__name__, le) (istio_request_duration_milliseconds_bucket)

Circuit Breaker 指标不可见时

bash
# 1. Check Envoy cluster statistics
istioctl proxy-config cluster <pod-name> --fqdn <service-fqdn> -o json | \
  jq '.[] | .circuitBreakers'

# 2. Check directly from Envoy admin
kubectl exec -it <pod-name> -c istio-proxy -- \
  curl "localhost:15000/clusters" | grep -A 10 "outbound|80||<service>"

# 3. Verify DestinationRule is correctly applied
istioctl analyze -n <namespace>

参考资料