简体中文

安装

WARNING

本部署文档仅适用于容器平台与追踪系统集成的场景。

Tracing 组件与 Service Mesh 组件互斥。如果您已部署 Service Mesh 组件，请先卸载它。

本指南为集群管理员提供在 Alauda Container Platform 集群上安装追踪系统的流程。

前提条件：

您拥有具有 platform-admin-system 权限的账号，可以访问 Alauda Container Platform 集群。
您已安装 kubectl CLI。
已部署 Elasticsearch 组件用于存储追踪数据，包括访问 URL 和 Basic Auth 信息。

安装 Jaeger Operator

通过 Web 控制台安装 Jaeger Operator

您可以在 Alauda Container Platform 的 Marketplace → OperatorHub 中安装 Jaeger Operator，Operator 列表中可见可用的 Operator。

步骤

在 Web 控制台的 管理员 视图中，选择要部署 Jaeger Operator 的集群，然后进入 Marketplace → OperatorHub。
使用搜索框搜索目录中的 Alauda build of Jaeger，点击 Alauda build of Jaeger 标题。
阅读 Alauda build of Jaeger 页面上的 Operator 介绍信息，点击 Install。
在 Install 页面：
- 选择 Manual 作为 Upgrade Strategy。对于 Manual 审批策略，OLM 会创建更新请求。作为集群管理员，您必须手动批准 OLM 更新请求以升级 Operator 到新版本。
- 选择 stable (Default) 频道。
- 选择 Recommended 作为 Installation Location。将 Operator 安装在推荐的 jaeger-operator 命名空间中，以便 Operator 能够监控并在集群内所有命名空间中可用。
点击 Install。
确认 Status 显示为 Succeeded，以确认 Jaeger Operator 安装成功。

检查 Jaeger Operator 的所有组件是否成功安装。通过终端登录集群，执行以下命令：

kubectl -n jaeger-operator get csv

示例输出

NAME                     DISPLAY           VERSION   REPLACES   PHASE
jaeger-operator.vx.x.0   Jaeger Operator   x.x.0                Succeeded

如果 PHASE 字段显示为 Succeeded，表示 Operator 及其组件安装成功。

部署 Jaeger 实例

可以使用 install-jaeger.sh 脚本安装 Jaeger 实例及其相关资源，该脚本接受三个参数：

--es-url：Elasticsearch 访问 URL。
--es-user-base64：Elasticsearch 的 Basic Auth 用户名，base64 编码。
--es-pass-base64：Elasticsearch 的 Basic Auth 密码，base64 编码。

从 DETAILS 复制安装脚本，登录到目标安装集群，保存为 install-jaeger.sh，赋予执行权限后执行：

DETAILS

#!/bin/bash

set -euo pipefail

CLUSTER_NAME=$(kubectl get configmap global-info -n kube-public -o jsonpath='{.data.clusterName}')
echo "CLUSTER_NAME: ${CLUSTER_NAME}"

# default values
TARGET_NAMESPACE="cpaas-system"
JAEGER_INSTANCE_NAME="jaeger-prod"
JAEGER_BASEPATH_SUFFIX="/acp/jaeger"
JAEGER_ES_INDEX_PREFIX=acp-tracing-$CLUSTER_NAME

# get arg
while [ "$#" -gt 0 ]; do
    case $1 in
        --es-url=*)
            ES_URL="${1#*=}"
            ;;
        --es-user-base64=*)
            ES_USER_BASE64="${1#*=}"
            ;;
        --es-pass-base64=*)
            ES_PASS_BASE64="${1#*=}"
            ;;
        --target-namespace=*)
            TARGET_NAMESPACE="${1#*=}"
            ;;
        --jaeger-instance-name=*)
            JAEGER_INSTANCE_NAME="${1#*=}"
            ;;
        --jaeger-basepath-suffix=*)
            JAEGER_BASEPATH_SUFFIX="${1#*=}"
            ;;
        --jaeger-es-index-prefix=*)
            JAEGER_ES_INDEX_PREFIX="${1#*=}"
            ;;
        *)
            echo "unknown argument: $1"
            exit 1
            ;;
    esac
    shift
done

# print arg
echo "ES_URL: $ES_URL"
echo "ES_USER_BASE64: $ES_USER_BASE64"
echo "ES_PASS_BASE64: $ES_PASS_BASE64"
echo "TARGET_NAMESPACE: $TARGET_NAMESPACE"
echo "JAEGER_INSTANCE_NAME: $JAEGER_INSTANCE_NAME"
echo "JAEGER_BASEPATH_SUFFIX: $JAEGER_BASEPATH_SUFFIX"
echo "JAEGER_ES_INDEX_PREFIX: $JAEGER_ES_INDEX_PREFIX"

# get global-info from ConfigMap
ISSUER_URL=$(kubectl get configmap global-info -n kube-public -o jsonpath='{.data.oidcIssuer}')
CLIENT_ID=$(kubectl get configmap global-info -n kube-public -o jsonpath='{.data.oidcClientID}')
CLIENT_SECRET=$(kubectl get configmap global-info -n kube-public -o jsonpath='{.data.oidcClientSecret}')
CLIENT_SECRET_BASE64=$(echo -n "${CLIENT_SECRET}" | base64 -w0)
PLATFORM_URL=$(kubectl get configmap global-info -n kube-public -o jsonpath='{.data.platformURL}')
echo "PLATFORM_URL: ${PLATFORM_URL}"

JAEGER_BASEPATH="clusters/$CLUSTER_NAME$JAEGER_BASEPATH_SUFFIX"

_apply_resource() {
  if [ -z "$1" ]; then
    echo "Usage: _apply_resource <yaml_content>"
    return 1
  fi

  local yaml_content="$1"
  echo "$yaml_content" | kubectl apply -f -
}

_install_configmap() {
  local yaml_content=$(cat <<EOF
apiVersion: v1
data:
  OAUTH2_PROXY_CLIENT_ID: $CLIENT_ID
  OAUTH2_PROXY_COOKIE_SECURE: "false"
  OAUTH2_PROXY_EMAIL_DOMAINS: "*"
  OAUTH2_PROXY_HTTP_ADDRESS: 0.0.0.0:4180
  OAUTH2_PROXY_INSECURE_OIDC_ALLOW_UNVERIFIED_EMAIL: "true"
  OAUTH2_PROXY_OIDC_ISSUER_URL: $ISSUER_URL
  OAUTH2_PROXY_PROVIDER: oidc
  OAUTH2_PROXY_PROXY_PREFIX: /$JAEGER_BASEPATH/oauth2
  OAUTH2_PROXY_REDIRECT_URL: $PLATFORM_URL/$JAEGER_BASEPATH/oauth2/callback
  OAUTH2_PROXY_SCOPE: openid profile email groups ext
  OAUTH2_PROXY_SKIP_JWT_BEARER_TOKENS: "true"
  OAUTH2_PROXY_SKIP_PROVIDER_BUTTON: "true"
  OAUTH2_PROXY_SSL_INSECURE_SKIP_VERIFY: "true"
  OAUTH2_PROXY_UPSTREAMS: http://127.0.0.1:16686
kind: ConfigMap
metadata:
  name: $JAEGER_INSTANCE_NAME-oauth2-proxy
  namespace: $TARGET_NAMESPACE
EOF
)
  _apply_resource "$yaml_content"
}

_install_secret() {
  local yaml_content=$(cat <<EOF
apiVersion: v1
data:
  OAUTH2_PROXY_CLIENT_SECRET: $CLIENT_SECRET_BASE64
  OAUTH2_PROXY_COOKIE_SECRET: $CLIENT_SECRET_BASE64
kind: Secret
metadata:
  name: $JAEGER_INSTANCE_NAME-oauth2-proxy
  namespace: $TARGET_NAMESPACE
type: Opaque
---
apiVersion: v1
data:
  ES_PASSWORD: $ES_PASS_BASE64
  ES_USERNAME: $ES_USER_BASE64
kind: Secret
metadata:
  name: $JAEGER_INSTANCE_NAME-es-basic-auth
  namespace: $TARGET_NAMESPACE
type: Opaque
EOF
)
  _apply_resource "$yaml_content"
}

_install_sa() {
  local yaml_content=$(cat <<EOF
apiVersion: v1
kind: ServiceAccount
metadata:
  name: $JAEGER_INSTANCE_NAME-sa
  namespace: $TARGET_NAMESPACE
---
apiVersion: rbac.authorization.k8s.io/v1
kind: Role
metadata:
  name: $JAEGER_INSTANCE_NAME-role
  namespace: $TARGET_NAMESPACE
rules:
- apiGroups: [""]
  resources: ["secrets"]
  verbs: ["get"]
---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
  name: $JAEGER_INSTANCE_NAME-rb
  namespace: $TARGET_NAMESPACE
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: Role
  name: $JAEGER_INSTANCE_NAME-role
subjects:
- kind: ServiceAccount
  name: $JAEGER_INSTANCE_NAME-sa
  namespace: $TARGET_NAMESPACE
EOF
)
  _apply_resource "$yaml_content"
}

_install_jaeger() {
  local yaml_content=$(cat <<EOF
apiVersion: jaegertracing.io/v1
kind: Jaeger
metadata:
  name: $JAEGER_INSTANCE_NAME
  namespace: $TARGET_NAMESPACE
spec:
  collector:
    affinity:
      podAntiAffinity:
        requiredDuringSchedulingIgnoredDuringExecution:
          - labelSelector:
              matchLabels:
                app.kubernetes.io/name: $JAEGER_INSTANCE_NAME-collector
            topologyKey: kubernetes.io/hostname
    replicas: 1
    resources:
      limits:
        cpu: "2"
        memory: 512Mi
      requests:
        cpu: 250m
        memory: 256Mi
  imagePullSecrets:
    - name: global-registry-auth
  ingress:
    enabled: false
  labels:
    service_name: jaeger
  query:
    affinity:
      podAntiAffinity:
        requiredDuringSchedulingIgnoredDuringExecution:
          - labelSelector:
              matchLabels:
                app.kubernetes.io/name: $JAEGER_INSTANCE_NAME-query
            topologyKey: kubernetes.io/hostname
    annotations:
      oauth2-proxy.github.io/image: ""
      oauth2-proxy.github.io/inject: "true"
      oauth2-proxy.github.io/oidc-configmap: $JAEGER_INSTANCE_NAME-oauth2-proxy
      oauth2-proxy.github.io/oidc-secret: $JAEGER_INSTANCE_NAME-oauth2-proxy
      oauth2-proxy.github.io/proxyCPULimit: 100m
      oauth2-proxy.github.io/proxyMemoryLimit: 128Mi
    options:
      query:
        base-path: /$JAEGER_BASEPATH
    replicas: 1
    resources:
      limits:
        cpu: "1"
        memory: 512Mi
      requests:
        cpu: 250m
        memory: 256Mi
  resources:
    limits:
      cpu: 100m
      memory: 300Mi
    requests:
      cpu: 100m
      memory: 300Mi
  sampling:
    options: {}
  serviceAccount: $JAEGER_INSTANCE_NAME-sa
  storage:
    dependencies:
      enabled: false
      resources: {}
      schedule: 55 23 * * *
    elasticsearch:
      name: elasticsearch
      nodeCount: 3
      redundancyPolicy: SingleRedundancy
    esIndexCleaner:
      enabled: true
      numberOfDays: 7
      resources: {}
      schedule: 55 23 * * *
    esRollover:
      resources: {}
      schedule: 0 0 * * *
    options:
      es.asm.cname: $JAEGER_INSTANCE_NAME-es-basic-auth
      es.asm.cnamespace: $TARGET_NAMESPACE
      es.index-prefix: $JAEGER_ES_INDEX_PREFIX
      es.max-span-age: 168h0m0s
      es.server-urls: $ES_URL
      es.tls.enabled: true
      es.tls.skip-host-verify: true
    secretName: ""
    type: elasticsearch
  strategy: production
  tolerations:
    - effect: NoSchedule
      key: node-role.kubernetes.io/control-plane
      operator: Exists
    - effect: NoSchedule
      key: node-role.kubernetes.io/master
      operator: Exists
  ui:
    options:
      dependencies:
        menuEnabled: false
EOF
)
  _apply_resource "$yaml_content"
}

_install_pod_monitor() {
  local yaml_content=$(cat <<EOF
apiVersion: monitoring.coreos.com/v1
kind: PodMonitor
metadata:
  labels:
    monitoring: pods
    prometheus: kube-prometheus
  name: $JAEGER_INSTANCE_NAME-monitor
  namespace: $TARGET_NAMESPACE
spec:
  jobLabel: app.kubernetes.io/name
  namespaceSelector:
    matchNames:
      - $TARGET_NAMESPACE
  podMetricsEndpoints:
    - interval: 60s
      path: /metrics
      port: admin-http
  selector:
    matchLabels:
      app.kubernetes.io/instance: $JAEGER_INSTANCE_NAME
EOF
)
  _apply_resource "$yaml_content"
}

_install_ingress() {
  local alb_annotation=""
  if [[ "$CLUSTER_NAME" == "global" ]]; then
  alb_annotation=$(cat <<EOF
    alb.ingress.cpaas.io/rewrite-request: |
      {"headers_var":{"Authorization":"cookie_cpaas_id_token"}}
EOF
  )
  fi
  local ingress_class=""
  if [[ "$CLUSTER_NAME" != "global" ]]; then
    ingress_class="  ingressClassName: cpaas-system"
  fi

  local yaml_content=$(cat <<EOF
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
  name: $JAEGER_INSTANCE_NAME-query
  namespace: $TARGET_NAMESPACE
  annotations:
    nginx.ingress.kubernetes.io/enable-cors: "true"
$alb_annotation
spec:
$ingress_class
  rules:
    - http:
        paths:
          - path: /$JAEGER_BASEPATH
            pathType: ImplementationSpecific
            backend:
              service:
                name: $JAEGER_INSTANCE_NAME-query
                port:
                  number: 4180
EOF
)
  _apply_resource "$yaml_content"
}

# final install
_install_configmap
_install_secret
_install_sa
_install_jaeger
_install_pod_monitor
_install_ingress

echo "Jaeger UI access address: $PLATFORM_URL/$JAEGER_BASEPATH"
echo "Jaeger installation completed"

脚本执行示例：

./install-jaeger.sh --es-url='https://xxx' --es-user-base64='xxx' --es-pass-base64='xxx'

脚本输出示例：

CLUSTER_NAME: <cluster>
ES_URL: https://xxx
ES_USER_BASE64: xxx
ES_PASS_BASE64: xxx
TARGET_NAMESPACE: cpaas-system
JAEGER_INSTANCE_NAME: jaeger-prod
JAEGER_BASEPATH_SUFFIX: /acp/jaeger
JAEGER_ES_INDEX_PREFIX: acp-tracing-<cluster>
PLATFORM_URL: https://xxx
configmap/jaeger-prod-oauth2-proxy created
secret/jaeger-prod-oauth2-proxy created
secret/jaeger-prod-es-basic-auth created
serviceaccount/jaeger-prod-sa created
role.rbac.authorization.k8s.io/jaeger-prod-role created
rolebinding.rbac.authorization.k8s.io/jaeger-prod-rb created
jaeger.jaegertracing.io/jaeger-prod created
podmonitor.monitoring.coreos.com/jaeger-prod-monitor created
ingress.networking.k8s.io/jaeger-prod-query created
Jaeger UI access address: <platform-url>/clusters/<cluster>/acp/jaeger
Jaeger installation completed

安装 OpenTelemetry Operator

通过 Web 控制台安装 OpenTelemetry Operator

您可以在 Alauda Container Platform 的 Marketplace → OperatorHub 中安装 OpenTelemetry Operator，Operator 列表中可见可用的 Operator。

步骤

在 Web 控制台的 管理员 视图中，选择要部署 OpenTelemetry Operator 的集群，然后进入 Marketplace → OperatorHub。
使用搜索框搜索目录中的 Alauda build of OpenTelemetry，点击 Alauda build of OpenTelemetry 标题。
阅读 Alauda build of OpenTelemetry 页面上的 Operator 介绍信息，点击 Install。
在 Install 页面：
- 选择 Manual 作为 Upgrade Strategy。对于 Manual 审批策略，OLM 会创建更新请求。作为集群管理员，您必须手动批准 OLM 更新请求以升级 Operator 到新版本。
- 选择 alpha (Default) 频道。
- 选择 Recommended 作为 Installation Location。将 Operator 安装在推荐的 opentelemetry-operator 命名空间中，以便 Operator 能够监控并在集群内所有命名空间中可用。
点击 Install。
确认 Status 显示为 Succeeded，以确认 OpenTelemetry Operator 安装成功。

检查 OpenTelemetry Operator 的所有组件是否成功安装。通过终端登录集群，执行以下命令：

kubectl -n opentelemetry-operator get csv

示例输出

NAME                            DISPLAY                  VERSION   REPLACES   PHASE
openTelemetry-operator.vx.x.0   OpenTelemetry Operator   x.x.0                Succeeded

如果 PHASE 字段显示为 Succeeded，表示 Operator 及其组件安装成功。

部署 OpenTelemetry 实例

可以使用 install-otel.sh 脚本安装 OpenTelemetry 实例及其相关资源。

从 DETAILS 复制安装脚本，登录到目标安装集群，保存为 install-otel.sh，赋予执行权限后执行：

DETAILS

#!/bin/bash

set -euo pipefail

TARGET_NAMESPACE="cpaas-system"

# get global-info from ConfigMap
CLUSTER_NAME=$(kubectl get configmap global-info -n kube-public -o jsonpath='{.data.clusterName}')
echo "CLUSTER_NAME: ${CLUSTER_NAME}"

_apply_resource() {
  if [ -z "$1" ]; then
    echo "Usage: _apply_resource <yaml_content>"
    return 1
  fi

  local yaml_content="$1"
  echo "$yaml_content" | kubectl apply -f -
}

_install_rbac() {
  local yaml_content=$(cat <<EOF
apiVersion: v1
imagePullSecrets:
  - name: global-registry-auth
kind: ServiceAccount
metadata:
  name: otel-collector
  namespace: $TARGET_NAMESPACE
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  name: otel-collector:cpaas-system:cluster-admin
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: cluster-admin
subjects:
  - kind: ServiceAccount
    name: otel-collector
    namespace: $TARGET_NAMESPACE
EOF
)
  _apply_resource "$yaml_content"
}

_install_otel_collector() {
  local yaml_content=$(cat <<EOF
apiVersion: opentelemetry.io/v1beta1
kind: OpenTelemetryCollector
metadata:
  name: otel
  namespace: $TARGET_NAMESPACE
spec:
  affinity:
    podAntiAffinity:
      requiredDuringSchedulingIgnoredDuringExecution:
        - labelSelector:
            matchLabels:
              app: otel-collector
          topologyKey: kubernetes.io/hostname
  config:
    exporters:
      debug: {}
      otlp:
        balancer_name: round_robin
        endpoint: dns:///jaeger-prod-collector-headless.$TARGET_NAMESPACE:4317
        tls:
          insecure: true
      prometheus:
        endpoint: 0.0.0.0:8889
    extensions:
      health_check:
        endpoint: 0.0.0.0:13133
    processors:
      batch: {}
      filter/metric_apis:
        metrics:
          datapoint:
            - attributes["http.route"] == "/actuator/health" or attributes["uri"] == "/actuator/health"
            - attributes["http.route"] == "/actuator/prometheus" or attributes["uri"] == "/actuator/prometheus"
      transform:
        metric_statements:
          - context: datapoint
            statements:
              - delete_key(attributes, "inner.client.ms.name")
              - delete_key(attributes, "inner.client.ms.namespace")
              - delete_key(attributes, "inner.client.cluster.name")
              - delete_key(attributes, "inner.client.env.type")
              - set(attributes["namespace"], resource.attributes["k8s.namespace.name"])
              - set(attributes["container"], resource.attributes["k8s.container.name"])
              - set(attributes["service_name"], resource.attributes["service.name"])
              - set(attributes["pod"], resource.attributes["k8s.pod.name"])
      memory_limiter:
        check_interval: 5s
        limit_percentage: 85
        spike_limit_percentage: 25
    receivers:
      otlp:
        protocols:
          grpc:
            endpoint: 0.0.0.0:4317
          http:
            endpoint: 0.0.0.0:4318
    service:
      extensions:
        - health_check
      pipelines:
        metrics:
          exporters:
            - debug
            - prometheus
          processors:
            - memory_limiter
            - filter/metric_apis
            - transform
            - batch
          receivers:
            - otlp
        traces:
          exporters:
            - debug
            - otlp
          processors:
            - memory_limiter
            - batch
          receivers:
            - otlp
      telemetry:
        logs:
          level: info
        metrics:
          address: 0.0.0.0:8888
          level: detailed
  managementState: managed
  mode: deployment
  replicas: 1
  resources:
    limits:
      cpu: "2"
      memory: 1Gi
    requests:
      cpu: 250m
      memory: 512Mi
  securityContext:
    readOnlyRootFilesystem: true
    runAsNonRoot: true
  serviceAccount: otel-collector
  tolerations:
    - effect: NoSchedule
      key: node-role.kubernetes.io/control-plane
      operator: Exists
    - effect: NoSchedule
      key: node-role.kubernetes.io/master
      operator: Exists
  upgradeStrategy: automatic
EOF
)
  _apply_resource "$yaml_content"
}

_install_instrumentation() {
  local yaml_content=$(cat <<EOF
apiVersion: opentelemetry.io/v1alpha1
kind: Instrumentation
metadata:
  name: acp-common-java
  namespace: $TARGET_NAMESPACE
spec:
  env:
    - name: SERVICE_CLUSTER
      value: "$CLUSTER_NAME"
    - name: OTEL_TRACES_EXPORTER
      value: otlp
    - name: OTEL_METRICS_EXPORTER
      value: otlp
    - name: OTEL_EXPORTER_OTLP_ENDPOINT
      value: http://otel-collector.$TARGET_NAMESPACE:4317
    - name: OTEL_SERVICE_NAME
      value: \$(SERVICE_NAME).\$(SERVICE_NAMESPACE)
    - name: OTEL_RESOURCE_ATTRIBUTES
      value: service.namespace=\$(SERVICE_NAMESPACE),cluster.name=\$(SERVICE_CLUSTER)
  sampler:
    type: parentbased_traceidratio
    argument: "1"
EOF
)
  _apply_resource "$yaml_content"
}

_install_service_monitor() {
  local yaml_content=$(cat <<EOF
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
  labels:
    monitoring: services
    prometheus: kube-prometheus
  name: otel-collector-monitoring
  namespace: $TARGET_NAMESPACE
spec:
  endpoints:
    - interval: 60s
      path: /metrics
      port: monitoring
  jobLabel: app.kubernetes.io/name
  namespaceSelector:
    matchNames:
      - $TARGET_NAMESPACE
  selector:
    matchLabels:
      app.kubernetes.io/instance: $TARGET_NAMESPACE.otel
      operator.opentelemetry.io/collector-service-type: monitoring
---
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
  labels:
    monitoring: services
    prometheus: kube-prometheus
  name: otel-collector
  namespace: $TARGET_NAMESPACE
spec:
  endpoints:
    - honorLabels: true
      interval: 60s
      path: /metrics
      port: prometheus
  jobLabel: app.kubernetes.io/name
  namespaceSelector:
    matchNames:
      - $TARGET_NAMESPACE
  selector:
    matchLabels:
      app.kubernetes.io/instance: $TARGET_NAMESPACE.otel
      operator.opentelemetry.io/collector-service-type: base
EOF
)
  _apply_resource "$yaml_content"
}

_install_rbac
_install_otel_collector
_install_instrumentation
_install_service_monitor

echo "OpenTelemetry installation completed"

脚本执行示例：

./install-otel.sh

脚本输出示例：

CLUSTER_NAME: cluster-xxx
serviceaccount/otel-collector created
clusterrolebinding.rbac.authorization.k8s.io/otel-collector:cpaas-system:cluster-admin created
opentelemetrycollector.opentelemetry.io/otel created
instrumentation.opentelemetry.io/acp-common-java created
servicemonitor.monitoring.coreos.com/otel-collector-monitoring created
servicemonitor.monitoring.coreos.com/otel-collector created
OpenTelemetry installation completed

启用功能开关

追踪系统目前处于 Alpha 阶段，需要您在 Feature Switch 视图中手动启用 acp-tracing-ui 功能开关。

然后，进入 Container Platform 视图，导航至 Observability → Tracing，即可查看追踪功能。

卸载追踪系统

删除 OpenTelemetry 实例

登录已安装的集群，执行以下命令删除 OpenTelemetry 实例及其相关资源。

kubectl -n cpaas-system delete servicemonitor otel-collector-monitoring
kubectl -n cpaas-system delete servicemonitor otel-collector
kubectl -n cpaas-system delete instrumentation acp-common-java
kubectl -n cpaas-system delete opentelemetrycollector otel
kubectl delete clusterrolebinding otel-collector:cpaas-system:cluster-admin
kubectl -n cpaas-system delete serviceaccount otel-collector

卸载 OpenTelemetry Operator

您可以通过 Web 控制台的 管理员 视图卸载 OpenTelemetry Operator。

步骤

进入 Marketplace → OperatorHub → 使用 搜索框 搜索 Alauda build of OpenTelemetry。
点击 Alauda build of OpenTelemetry 标题进入详情页。
在详情页右上角点击 Uninstall 按钮。
在弹出的 Uninstall "opentelemetry-operator"? 窗口中点击 Uninstall。

删除 Jaeger 实例

登录已安装的集群，执行以下命令删除 Jaeger 实例及其相关资源。

kubectl -n cpaas-system delete ingress jaeger-prod-query
kubectl -n cpaas-system delete podmonitor jaeger-prod-monitor
kubectl -n cpaas-system delete jaeger jaeger-prod
kubectl -n cpaas-system delete rolebinding jaeger-prod-rb
kubectl -n cpaas-system delete role jaeger-prod-role
kubectl -n cpaas-system delete serviceaccount jaeger-prod-sa
kubectl -n cpaas-system delete secret jaeger-prod-oauth2-proxy
kubectl -n cpaas-system delete secret jaeger-prod-es-basic-auth
kubectl -n cpaas-system delete configmap jaeger-prod-oauth2-proxy

卸载 Jaeger Operator

您可以通过 Web 控制台的 管理员 视图卸载 Jaeger Operator。

步骤

进入 Marketplace → OperatorHub → 使用 搜索框 搜索 Alauda build of Jaeger。
点击 Alauda build of Jaeger 标题进入详情页。
在详情页右上角点击 Uninstall 按钮。
在弹出的 Uninstall "jaeger-operator"? 窗口中点击 Uninstall。

以 PDF 格式查看完整文档

安装

WARNING

本部署文档仅适用于容器平台与追踪系统集成的场景。

Tracing 组件与 Service Mesh 组件互斥。如果您已部署 Service Mesh 组件，请先卸载它。

本指南为集群管理员提供在 Alauda Container Platform 集群上安装追踪系统的流程。

前提条件：

您拥有具有 platform-admin-system 权限的账号，可以访问 Alauda Container Platform 集群。
您已安装 kubectl CLI。
已部署 Elasticsearch 组件用于存储追踪数据，包括访问 URL 和 Basic Auth 信息。

安装 Jaeger Operator

通过 Web 控制台安装 Jaeger Operator

您可以在 Alauda Container Platform 的 Marketplace → OperatorHub 中安装 Jaeger Operator，Operator 列表中可见可用的 Operator。

步骤

在 Web 控制台的 管理员 视图中，选择要部署 Jaeger Operator 的集群，然后进入 Marketplace → OperatorHub。
使用搜索框搜索目录中的 Alauda build of Jaeger，点击 Alauda build of Jaeger 标题。
阅读 Alauda build of Jaeger 页面上的 Operator 介绍信息，点击 Install。
在 Install 页面：
- 选择 Manual 作为 Upgrade Strategy。对于 Manual 审批策略，OLM 会创建更新请求。作为集群管理员，您必须手动批准 OLM 更新请求以升级 Operator 到新版本。
- 选择 stable (Default) 频道。
- 选择 Recommended 作为 Installation Location。将 Operator 安装在推荐的 jaeger-operator 命名空间中，以便 Operator 能够监控并在集群内所有命名空间中可用。
点击 Install。
确认 Status 显示为 Succeeded，以确认 Jaeger Operator 安装成功。

检查 Jaeger Operator 的所有组件是否成功安装。通过终端登录集群，执行以下命令：

kubectl -n jaeger-operator get csv

示例输出

NAME                     DISPLAY           VERSION   REPLACES   PHASE
jaeger-operator.vx.x.0   Jaeger Operator   x.x.0                Succeeded

如果 PHASE 字段显示为 Succeeded，表示 Operator 及其组件安装成功。

部署 Jaeger 实例

可以使用 install-jaeger.sh 脚本安装 Jaeger 实例及其相关资源，该脚本接受三个参数：

--es-url：Elasticsearch 访问 URL。
--es-user-base64：Elasticsearch 的 Basic Auth 用户名，base64 编码。
--es-pass-base64：Elasticsearch 的 Basic Auth 密码，base64 编码。

从 DETAILS 复制安装脚本，登录到目标安装集群，保存为 install-jaeger.sh，赋予执行权限后执行：

DETAILS

#!/bin/bash

set -euo pipefail

CLUSTER_NAME=$(kubectl get configmap global-info -n kube-public -o jsonpath='{.data.clusterName}')
echo "CLUSTER_NAME: ${CLUSTER_NAME}"

# default values
TARGET_NAMESPACE="cpaas-system"
JAEGER_INSTANCE_NAME="jaeger-prod"
JAEGER_BASEPATH_SUFFIX="/acp/jaeger"
JAEGER_ES_INDEX_PREFIX=acp-tracing-$CLUSTER_NAME

# get arg
while [ "$#" -gt 0 ]; do
    case $1 in
        --es-url=*)
            ES_URL="${1#*=}"
            ;;
        --es-user-base64=*)
            ES_USER_BASE64="${1#*=}"
            ;;
        --es-pass-base64=*)
            ES_PASS_BASE64="${1#*=}"
            ;;
        --target-namespace=*)
            TARGET_NAMESPACE="${1#*=}"
            ;;
        --jaeger-instance-name=*)
            JAEGER_INSTANCE_NAME="${1#*=}"
            ;;
        --jaeger-basepath-suffix=*)
            JAEGER_BASEPATH_SUFFIX="${1#*=}"
            ;;
        --jaeger-es-index-prefix=*)
            JAEGER_ES_INDEX_PREFIX="${1#*=}"
            ;;
        *)
            echo "unknown argument: $1"
            exit 1
            ;;
    esac
    shift
done

# print arg
echo "ES_URL: $ES_URL"
echo "ES_USER_BASE64: $ES_USER_BASE64"
echo "ES_PASS_BASE64: $ES_PASS_BASE64"
echo "TARGET_NAMESPACE: $TARGET_NAMESPACE"
echo "JAEGER_INSTANCE_NAME: $JAEGER_INSTANCE_NAME"
echo "JAEGER_BASEPATH_SUFFIX: $JAEGER_BASEPATH_SUFFIX"
echo "JAEGER_ES_INDEX_PREFIX: $JAEGER_ES_INDEX_PREFIX"

# get global-info from ConfigMap
ISSUER_URL=$(kubectl get configmap global-info -n kube-public -o jsonpath='{.data.oidcIssuer}')
CLIENT_ID=$(kubectl get configmap global-info -n kube-public -o jsonpath='{.data.oidcClientID}')
CLIENT_SECRET=$(kubectl get configmap global-info -n kube-public -o jsonpath='{.data.oidcClientSecret}')
CLIENT_SECRET_BASE64=$(echo -n "${CLIENT_SECRET}" | base64 -w0)
PLATFORM_URL=$(kubectl get configmap global-info -n kube-public -o jsonpath='{.data.platformURL}')
echo "PLATFORM_URL: ${PLATFORM_URL}"

JAEGER_BASEPATH="clusters/$CLUSTER_NAME$JAEGER_BASEPATH_SUFFIX"

_apply_resource() {
  if [ -z "$1" ]; then
    echo "Usage: _apply_resource <yaml_content>"
    return 1
  fi

  local yaml_content="$1"
  echo "$yaml_content" | kubectl apply -f -
}

_install_configmap() {
  local yaml_content=$(cat <<EOF
apiVersion: v1
data:
  OAUTH2_PROXY_CLIENT_ID: $CLIENT_ID
  OAUTH2_PROXY_COOKIE_SECURE: "false"
  OAUTH2_PROXY_EMAIL_DOMAINS: "*"
  OAUTH2_PROXY_HTTP_ADDRESS: 0.0.0.0:4180
  OAUTH2_PROXY_INSECURE_OIDC_ALLOW_UNVERIFIED_EMAIL: "true"
  OAUTH2_PROXY_OIDC_ISSUER_URL: $ISSUER_URL
  OAUTH2_PROXY_PROVIDER: oidc
  OAUTH2_PROXY_PROXY_PREFIX: /$JAEGER_BASEPATH/oauth2
  OAUTH2_PROXY_REDIRECT_URL: $PLATFORM_URL/$JAEGER_BASEPATH/oauth2/callback
  OAUTH2_PROXY_SCOPE: openid profile email groups ext
  OAUTH2_PROXY_SKIP_JWT_BEARER_TOKENS: "true"
  OAUTH2_PROXY_SKIP_PROVIDER_BUTTON: "true"
  OAUTH2_PROXY_SSL_INSECURE_SKIP_VERIFY: "true"
  OAUTH2_PROXY_UPSTREAMS: http://127.0.0.1:16686
kind: ConfigMap
metadata:
  name: $JAEGER_INSTANCE_NAME-oauth2-proxy
  namespace: $TARGET_NAMESPACE
EOF
)
  _apply_resource "$yaml_content"
}

_install_secret() {
  local yaml_content=$(cat <<EOF
apiVersion: v1
data:
  OAUTH2_PROXY_CLIENT_SECRET: $CLIENT_SECRET_BASE64
  OAUTH2_PROXY_COOKIE_SECRET: $CLIENT_SECRET_BASE64
kind: Secret
metadata:
  name: $JAEGER_INSTANCE_NAME-oauth2-proxy
  namespace: $TARGET_NAMESPACE
type: Opaque
---
apiVersion: v1
data:
  ES_PASSWORD: $ES_PASS_BASE64
  ES_USERNAME: $ES_USER_BASE64
kind: Secret
metadata:
  name: $JAEGER_INSTANCE_NAME-es-basic-auth
  namespace: $TARGET_NAMESPACE
type: Opaque
EOF
)
  _apply_resource "$yaml_content"
}

_install_sa() {
  local yaml_content=$(cat <<EOF
apiVersion: v1
kind: ServiceAccount
metadata:
  name: $JAEGER_INSTANCE_NAME-sa
  namespace: $TARGET_NAMESPACE
---
apiVersion: rbac.authorization.k8s.io/v1
kind: Role
metadata:
  name: $JAEGER_INSTANCE_NAME-role
  namespace: $TARGET_NAMESPACE
rules:
- apiGroups: [""]
  resources: ["secrets"]
  verbs: ["get"]
---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
  name: $JAEGER_INSTANCE_NAME-rb
  namespace: $TARGET_NAMESPACE
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: Role
  name: $JAEGER_INSTANCE_NAME-role
subjects:
- kind: ServiceAccount
  name: $JAEGER_INSTANCE_NAME-sa
  namespace: $TARGET_NAMESPACE
EOF
)
  _apply_resource "$yaml_content"
}

_install_jaeger() {
  local yaml_content=$(cat <<EOF
apiVersion: jaegertracing.io/v1
kind: Jaeger
metadata:
  name: $JAEGER_INSTANCE_NAME
  namespace: $TARGET_NAMESPACE
spec:
  collector:
    affinity:
      podAntiAffinity:
        requiredDuringSchedulingIgnoredDuringExecution:
          - labelSelector:
              matchLabels:
                app.kubernetes.io/name: $JAEGER_INSTANCE_NAME-collector
            topologyKey: kubernetes.io/hostname
    replicas: 1
    resources:
      limits:
        cpu: "2"
        memory: 512Mi
      requests:
        cpu: 250m
        memory: 256Mi
  imagePullSecrets:
    - name: global-registry-auth
  ingress:
    enabled: false
  labels:
    service_name: jaeger
  query:
    affinity:
      podAntiAffinity:
        requiredDuringSchedulingIgnoredDuringExecution:
          - labelSelector:
              matchLabels:
                app.kubernetes.io/name: $JAEGER_INSTANCE_NAME-query
            topologyKey: kubernetes.io/hostname
    annotations:
      oauth2-proxy.github.io/image: ""
      oauth2-proxy.github.io/inject: "true"
      oauth2-proxy.github.io/oidc-configmap: $JAEGER_INSTANCE_NAME-oauth2-proxy
      oauth2-proxy.github.io/oidc-secret: $JAEGER_INSTANCE_NAME-oauth2-proxy
      oauth2-proxy.github.io/proxyCPULimit: 100m
      oauth2-proxy.github.io/proxyMemoryLimit: 128Mi
    options:
      query:
        base-path: /$JAEGER_BASEPATH
    replicas: 1
    resources:
      limits:
        cpu: "1"
        memory: 512Mi
      requests:
        cpu: 250m
        memory: 256Mi
  resources:
    limits:
      cpu: 100m
      memory: 300Mi
    requests:
      cpu: 100m
      memory: 300Mi
  sampling:
    options: {}
  serviceAccount: $JAEGER_INSTANCE_NAME-sa
  storage:
    dependencies:
      enabled: false
      resources: {}
      schedule: 55 23 * * *
    elasticsearch:
      name: elasticsearch
      nodeCount: 3
      redundancyPolicy: SingleRedundancy
    esIndexCleaner:
      enabled: true
      numberOfDays: 7
      resources: {}
      schedule: 55 23 * * *
    esRollover:
      resources: {}
      schedule: 0 0 * * *
    options:
      es.asm.cname: $JAEGER_INSTANCE_NAME-es-basic-auth
      es.asm.cnamespace: $TARGET_NAMESPACE
      es.index-prefix: $JAEGER_ES_INDEX_PREFIX
      es.max-span-age: 168h0m0s
      es.server-urls: $ES_URL
      es.tls.enabled: true
      es.tls.skip-host-verify: true
    secretName: ""
    type: elasticsearch
  strategy: production
  tolerations:
    - effect: NoSchedule
      key: node-role.kubernetes.io/control-plane
      operator: Exists
    - effect: NoSchedule
      key: node-role.kubernetes.io/master
      operator: Exists
  ui:
    options:
      dependencies:
        menuEnabled: false
EOF
)
  _apply_resource "$yaml_content"
}

_install_pod_monitor() {
  local yaml_content=$(cat <<EOF
apiVersion: monitoring.coreos.com/v1
kind: PodMonitor
metadata:
  labels:
    monitoring: pods
    prometheus: kube-prometheus
  name: $JAEGER_INSTANCE_NAME-monitor
  namespace: $TARGET_NAMESPACE
spec:
  jobLabel: app.kubernetes.io/name
  namespaceSelector:
    matchNames:
      - $TARGET_NAMESPACE
  podMetricsEndpoints:
    - interval: 60s
      path: /metrics
      port: admin-http
  selector:
    matchLabels:
      app.kubernetes.io/instance: $JAEGER_INSTANCE_NAME
EOF
)
  _apply_resource "$yaml_content"
}

_install_ingress() {
  local alb_annotation=""
  if [[ "$CLUSTER_NAME" == "global" ]]; then
  alb_annotation=$(cat <<EOF
    alb.ingress.cpaas.io/rewrite-request: |
      {"headers_var":{"Authorization":"cookie_cpaas_id_token"}}
EOF
  )
  fi
  local ingress_class=""
  if [[ "$CLUSTER_NAME" != "global" ]]; then
    ingress_class="  ingressClassName: cpaas-system"
  fi

  local yaml_content=$(cat <<EOF
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
  name: $JAEGER_INSTANCE_NAME-query
  namespace: $TARGET_NAMESPACE
  annotations:
    nginx.ingress.kubernetes.io/enable-cors: "true"
$alb_annotation
spec:
$ingress_class
  rules:
    - http:
        paths:
          - path: /$JAEGER_BASEPATH
            pathType: ImplementationSpecific
            backend:
              service:
                name: $JAEGER_INSTANCE_NAME-query
                port:
                  number: 4180
EOF
)
  _apply_resource "$yaml_content"
}

# final install
_install_configmap
_install_secret
_install_sa
_install_jaeger
_install_pod_monitor
_install_ingress

echo "Jaeger UI access address: $PLATFORM_URL/$JAEGER_BASEPATH"
echo "Jaeger installation completed"

脚本执行示例：

./install-jaeger.sh --es-url='https://xxx' --es-user-base64='xxx' --es-pass-base64='xxx'

脚本输出示例：

CLUSTER_NAME: <cluster>
ES_URL: https://xxx
ES_USER_BASE64: xxx
ES_PASS_BASE64: xxx
TARGET_NAMESPACE: cpaas-system
JAEGER_INSTANCE_NAME: jaeger-prod
JAEGER_BASEPATH_SUFFIX: /acp/jaeger
JAEGER_ES_INDEX_PREFIX: acp-tracing-<cluster>
PLATFORM_URL: https://xxx
configmap/jaeger-prod-oauth2-proxy created
secret/jaeger-prod-oauth2-proxy created
secret/jaeger-prod-es-basic-auth created
serviceaccount/jaeger-prod-sa created
role.rbac.authorization.k8s.io/jaeger-prod-role created
rolebinding.rbac.authorization.k8s.io/jaeger-prod-rb created
jaeger.jaegertracing.io/jaeger-prod created
podmonitor.monitoring.coreos.com/jaeger-prod-monitor created
ingress.networking.k8s.io/jaeger-prod-query created
Jaeger UI access address: <platform-url>/clusters/<cluster>/acp/jaeger
Jaeger installation completed

安装 OpenTelemetry Operator

通过 Web 控制台安装 OpenTelemetry Operator

您可以在 Alauda Container Platform 的 Marketplace → OperatorHub 中安装 OpenTelemetry Operator，Operator 列表中可见可用的 Operator。

步骤

在 Web 控制台的 管理员 视图中，选择要部署 OpenTelemetry Operator 的集群，然后进入 Marketplace → OperatorHub。
使用搜索框搜索目录中的 Alauda build of OpenTelemetry，点击 Alauda build of OpenTelemetry 标题。
阅读 Alauda build of OpenTelemetry 页面上的 Operator 介绍信息，点击 Install。
在 Install 页面：
- 选择 Manual 作为 Upgrade Strategy。对于 Manual 审批策略，OLM 会创建更新请求。作为集群管理员，您必须手动批准 OLM 更新请求以升级 Operator 到新版本。
- 选择 alpha (Default) 频道。
- 选择 Recommended 作为 Installation Location。将 Operator 安装在推荐的 opentelemetry-operator 命名空间中，以便 Operator 能够监控并在集群内所有命名空间中可用。
点击 Install。
确认 Status 显示为 Succeeded，以确认 OpenTelemetry Operator 安装成功。

检查 OpenTelemetry Operator 的所有组件是否成功安装。通过终端登录集群，执行以下命令：

kubectl -n opentelemetry-operator get csv

示例输出

NAME                            DISPLAY                  VERSION   REPLACES   PHASE
openTelemetry-operator.vx.x.0   OpenTelemetry Operator   x.x.0                Succeeded

如果 PHASE 字段显示为 Succeeded，表示 Operator 及其组件安装成功。

部署 OpenTelemetry 实例

可以使用 install-otel.sh 脚本安装 OpenTelemetry 实例及其相关资源。

从 DETAILS 复制安装脚本，登录到目标安装集群，保存为 install-otel.sh，赋予执行权限后执行：

DETAILS

#!/bin/bash

set -euo pipefail

TARGET_NAMESPACE="cpaas-system"

# get global-info from ConfigMap
CLUSTER_NAME=$(kubectl get configmap global-info -n kube-public -o jsonpath='{.data.clusterName}')
echo "CLUSTER_NAME: ${CLUSTER_NAME}"

_apply_resource() {
  if [ -z "$1" ]; then
    echo "Usage: _apply_resource <yaml_content>"
    return 1
  fi

  local yaml_content="$1"
  echo "$yaml_content" | kubectl apply -f -
}

_install_rbac() {
  local yaml_content=$(cat <<EOF
apiVersion: v1
imagePullSecrets:
  - name: global-registry-auth
kind: ServiceAccount
metadata:
  name: otel-collector
  namespace: $TARGET_NAMESPACE
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  name: otel-collector:cpaas-system:cluster-admin
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: cluster-admin
subjects:
  - kind: ServiceAccount
    name: otel-collector
    namespace: $TARGET_NAMESPACE
EOF
)
  _apply_resource "$yaml_content"
}

_install_otel_collector() {
  local yaml_content=$(cat <<EOF
apiVersion: opentelemetry.io/v1beta1
kind: OpenTelemetryCollector
metadata:
  name: otel
  namespace: $TARGET_NAMESPACE
spec:
  affinity:
    podAntiAffinity:
      requiredDuringSchedulingIgnoredDuringExecution:
        - labelSelector:
            matchLabels:
              app: otel-collector
          topologyKey: kubernetes.io/hostname
  config:
    exporters:
      debug: {}
      otlp:
        balancer_name: round_robin
        endpoint: dns:///jaeger-prod-collector-headless.$TARGET_NAMESPACE:4317
        tls:
          insecure: true
      prometheus:
        endpoint: 0.0.0.0:8889
    extensions:
      health_check:
        endpoint: 0.0.0.0:13133
    processors:
      batch: {}
      filter/metric_apis:
        metrics:
          datapoint:
            - attributes["http.route"] == "/actuator/health" or attributes["uri"] == "/actuator/health"
            - attributes["http.route"] == "/actuator/prometheus" or attributes["uri"] == "/actuator/prometheus"
      transform:
        metric_statements:
          - context: datapoint
            statements:
              - delete_key(attributes, "inner.client.ms.name")
              - delete_key(attributes, "inner.client.ms.namespace")
              - delete_key(attributes, "inner.client.cluster.name")
              - delete_key(attributes, "inner.client.env.type")
              - set(attributes["namespace"], resource.attributes["k8s.namespace.name"])
              - set(attributes["container"], resource.attributes["k8s.container.name"])
              - set(attributes["service_name"], resource.attributes["service.name"])
              - set(attributes["pod"], resource.attributes["k8s.pod.name"])
      memory_limiter:
        check_interval: 5s
        limit_percentage: 85
        spike_limit_percentage: 25
    receivers:
      otlp:
        protocols:
          grpc:
            endpoint: 0.0.0.0:4317
          http:
            endpoint: 0.0.0.0:4318
    service:
      extensions:
        - health_check
      pipelines:
        metrics:
          exporters:
            - debug
            - prometheus
          processors:
            - memory_limiter
            - filter/metric_apis
            - transform
            - batch
          receivers:
            - otlp
        traces:
          exporters:
            - debug
            - otlp
          processors:
            - memory_limiter
            - batch
          receivers:
            - otlp
      telemetry:
        logs:
          level: info
        metrics:
          address: 0.0.0.0:8888
          level: detailed
  managementState: managed
  mode: deployment
  replicas: 1
  resources:
    limits:
      cpu: "2"
      memory: 1Gi
    requests:
      cpu: 250m
      memory: 512Mi
  securityContext:
    readOnlyRootFilesystem: true
    runAsNonRoot: true
  serviceAccount: otel-collector
  tolerations:
    - effect: NoSchedule
      key: node-role.kubernetes.io/control-plane
      operator: Exists
    - effect: NoSchedule
      key: node-role.kubernetes.io/master
      operator: Exists
  upgradeStrategy: automatic
EOF
)
  _apply_resource "$yaml_content"
}

_install_instrumentation() {
  local yaml_content=$(cat <<EOF
apiVersion: opentelemetry.io/v1alpha1
kind: Instrumentation
metadata:
  name: acp-common-java
  namespace: $TARGET_NAMESPACE
spec:
  env:
    - name: SERVICE_CLUSTER
      value: "$CLUSTER_NAME"
    - name: OTEL_TRACES_EXPORTER
      value: otlp
    - name: OTEL_METRICS_EXPORTER
      value: otlp
    - name: OTEL_EXPORTER_OTLP_ENDPOINT
      value: http://otel-collector.$TARGET_NAMESPACE:4317
    - name: OTEL_SERVICE_NAME
      value: \$(SERVICE_NAME).\$(SERVICE_NAMESPACE)
    - name: OTEL_RESOURCE_ATTRIBUTES
      value: service.namespace=\$(SERVICE_NAMESPACE),cluster.name=\$(SERVICE_CLUSTER)
  sampler:
    type: parentbased_traceidratio
    argument: "1"
EOF
)
  _apply_resource "$yaml_content"
}

_install_service_monitor() {
  local yaml_content=$(cat <<EOF
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
  labels:
    monitoring: services
    prometheus: kube-prometheus
  name: otel-collector-monitoring
  namespace: $TARGET_NAMESPACE
spec:
  endpoints:
    - interval: 60s
      path: /metrics
      port: monitoring
  jobLabel: app.kubernetes.io/name
  namespaceSelector:
    matchNames:
      - $TARGET_NAMESPACE
  selector:
    matchLabels:
      app.kubernetes.io/instance: $TARGET_NAMESPACE.otel
      operator.opentelemetry.io/collector-service-type: monitoring
---
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
  labels:
    monitoring: services
    prometheus: kube-prometheus
  name: otel-collector
  namespace: $TARGET_NAMESPACE
spec:
  endpoints:
    - honorLabels: true
      interval: 60s
      path: /metrics
      port: prometheus
  jobLabel: app.kubernetes.io/name
  namespaceSelector:
    matchNames:
      - $TARGET_NAMESPACE
  selector:
    matchLabels:
      app.kubernetes.io/instance: $TARGET_NAMESPACE.otel
      operator.opentelemetry.io/collector-service-type: base
EOF
)
  _apply_resource "$yaml_content"
}

_install_rbac
_install_otel_collector
_install_instrumentation
_install_service_monitor

echo "OpenTelemetry installation completed"

脚本执行示例：

./install-otel.sh

脚本输出示例：

CLUSTER_NAME: cluster-xxx
serviceaccount/otel-collector created
clusterrolebinding.rbac.authorization.k8s.io/otel-collector:cpaas-system:cluster-admin created
opentelemetrycollector.opentelemetry.io/otel created
instrumentation.opentelemetry.io/acp-common-java created
servicemonitor.monitoring.coreos.com/otel-collector-monitoring created
servicemonitor.monitoring.coreos.com/otel-collector created
OpenTelemetry installation completed

启用功能开关

追踪系统目前处于 Alpha 阶段，需要您在 Feature Switch 视图中手动启用 acp-tracing-ui 功能开关。

然后，进入 Container Platform 视图，导航至 Observability → Tracing，即可查看追踪功能。

卸载追踪系统

删除 OpenTelemetry 实例

登录已安装的集群，执行以下命令删除 OpenTelemetry 实例及其相关资源。

kubectl -n cpaas-system delete servicemonitor otel-collector-monitoring
kubectl -n cpaas-system delete servicemonitor otel-collector
kubectl -n cpaas-system delete instrumentation acp-common-java
kubectl -n cpaas-system delete opentelemetrycollector otel
kubectl delete clusterrolebinding otel-collector:cpaas-system:cluster-admin
kubectl -n cpaas-system delete serviceaccount otel-collector

卸载 OpenTelemetry Operator

您可以通过 Web 控制台的 管理员 视图卸载 OpenTelemetry Operator。

步骤

进入 Marketplace → OperatorHub → 使用 搜索框 搜索 Alauda build of OpenTelemetry。
点击 Alauda build of OpenTelemetry 标题进入详情页。
在详情页右上角点击 Uninstall 按钮。
在弹出的 Uninstall "opentelemetry-operator"? 窗口中点击 Uninstall。

删除 Jaeger 实例

登录已安装的集群，执行以下命令删除 Jaeger 实例及其相关资源。

kubectl -n cpaas-system delete ingress jaeger-prod-query
kubectl -n cpaas-system delete podmonitor jaeger-prod-monitor
kubectl -n cpaas-system delete jaeger jaeger-prod
kubectl -n cpaas-system delete rolebinding jaeger-prod-rb
kubectl -n cpaas-system delete role jaeger-prod-role
kubectl -n cpaas-system delete serviceaccount jaeger-prod-sa
kubectl -n cpaas-system delete secret jaeger-prod-oauth2-proxy
kubectl -n cpaas-system delete secret jaeger-prod-es-basic-auth
kubectl -n cpaas-system delete configmap jaeger-prod-oauth2-proxy

卸载 Jaeger Operator

您可以通过 Web 控制台的 管理员 视图卸载 Jaeger Operator。

步骤

进入 Marketplace → OperatorHub → 使用 搜索框 搜索 Alauda build of Jaeger。
点击 Alauda build of Jaeger 标题进入详情页。
在详情页右上角点击 Uninstall 按钮。
在弹出的 Uninstall "jaeger-operator"? 窗口中点击 Uninstall。

ACP CLI (ac)

节点管理

托管集群

导入集群

公有云集群初始化

网络初始化

存储初始化

如何操作

实用指南

备份管理

恢复管理

架构

核心概念

功能指南

如何操作

ALB

故障排除

概念

功能指南

实用指南

故障排除

安装

核心概念

操作指南

实用指南

数据容灾

核心概念

操作指南

实用指南

操作指南

实用指南

合规

使用指南

API Refiner

用户

功能指南

用户组

功能指南

角色

功能指南

IDP

功能指南

故障排除

用户策略

功能指南

概览

镜像

操作指南

实用指南

虚拟机

操作指南

实用指南

问题处理

网络

操作指南

实用指南

存储

操作指南

备份和恢复

操作指南

核心概念

命名空间

创建应用

应用的操作与维护

Application Rollout

KEDA(Kubernetes Event-driven Autoscaling)

实用指南

计算组件

配置

应用可观测

实用指南

实用指南

安装

使用指南

概览

安装

升级

功能指南

How To

概念