Dynatrace

最后更新: February 20, 2026

简介

Dynatrace 是一个由 AI 驱动的全栈可观测性平台。通过 OneAgent 技术，它可自动监控应用程序、基础设施和用户体验，同时 Davis AI 引擎会自动分析问题的根本原因。

主要功能

功能	描述
OneAgent	使用单个 Agent 进行全栈监控
Auto-instrumentation	无需修改代码即可自动追踪
Davis AI	AI 驱动的根本原因分析
PurePath	分布式追踪技术
Smartscape	实时拓扑映射
Full Stack	从基础设施到用户体验

架构

使用 Helm 部署到 EKS

1. 安装 Dynatrace Operator

bash

# Add Helm repository
helm repo add dynatrace https://raw.githubusercontent.com/Dynatrace/dynatrace-operator/main/config/helm/repos/stable
helm repo update

# Create namespace
kubectl create namespace dynatrace

2. 创建 API Token

在 Dynatrace 控制台中创建具有以下权限的 API Token：

Access problem and event feed, metrics, and topology
Read configuration
Write configuration
PaaS integration - Installer download
PaaS integration - Support alert
Read entities
Write entities
Read settings
Write settings
Ingest logs
Ingest metrics
Ingest OpenTelemetry traces

3. 创建 Secret

yaml

# dynatrace-secret.yaml
apiVersion: v1
kind: Secret
metadata:
  name: dynakube
  namespace: dynatrace
type: Opaque
data:
  # Base64 encoded values
  apiToken: <BASE64_ENCODED_API_TOKEN>
  dataIngestToken: <BASE64_ENCODED_DATA_INGEST_TOKEN>

bash

# Or create via CLI
kubectl create secret generic dynakube \
  --namespace dynatrace \
  --from-literal=apiToken=<API_TOKEN> \
  --from-literal=dataIngestToken=<DATA_INGEST_TOKEN>

4. values.yaml 配置

yaml

# dynatrace-values.yaml
platform: "kubernetes"

operator:
  image:
    repository: docker.io/dynatrace/dynatrace-operator
    tag: v1.0.0
  resources:
    requests:
      cpu: 50m
      memory: 64Mi
    limits:
      cpu: 100m
      memory: 256Mi

webhook:
  resources:
    requests:
      cpu: 50m
      memory: 64Mi
    limits:
      cpu: 100m
      memory: 256Mi

csidriver:
  enabled: true

5. 安装 Operator

bash

helm upgrade --install dynatrace-operator dynatrace/dynatrace-operator \
  --namespace dynatrace \
  --values dynatrace-values.yaml \
  --wait

6. DynaKube CR 配置

yaml

# dynakube.yaml
apiVersion: dynatrace.com/v1beta2
kind: DynaKube
metadata:
  name: dynakube
  namespace: dynatrace
spec:
  # Dynatrace environment URL
  apiUrl: https://<ENVIRONMENT_ID>.live.dynatrace.com/api

  # OneAgent deployment mode
  oneAgent:
    # Classic Full Stack (DaemonSet)
    classicFullStack:
      tolerations:
        - effect: NoSchedule
          operator: Exists
      args:
        - --set-host-group=eks-production
      env:
        - name: ONEAGENT_ENABLE_VOLUME_STORAGE
          value: "true"
      resources:
        requests:
          cpu: 100m
          memory: 512Mi
        limits:
          cpu: 500m
          memory: 1.5Gi
      # Node selector
      nodeSelector:
        kubernetes.io/os: linux

  # ActiveGate configuration
  activeGate:
    capabilities:
      - routing
      - kubernetes-monitoring
      - dynatrace-api
    resources:
      requests:
        cpu: 500m
        memory: 512Mi
      limits:
        cpu: 1000m
        memory: 1.5Gi
    # Replica count
    replicas: 2
    # Kubernetes API monitoring
    group: eks-production
    # Custom properties
    customProperties:
      value: |
        [kubernetes_monitoring]
        kubernetes_cluster_name=eks-production

  # Metadata enrichment
  metadataEnrichment:
    enabled: true

  # Namespace selector (namespaces to monitor)
  namespaceSelector:
    matchLabels:
      dynatrace: enabled
---
# Add label to namespaces to monitor
apiVersion: v1
kind: Namespace
metadata:
  name: production
  labels:
    dynatrace: enabled

7. 部署并验证

bash

# Deploy DynaKube
kubectl apply -f dynakube.yaml

# Check status
kubectl get dynakube -n dynatrace
kubectl get pods -n dynatrace

# Check OneAgent status
kubectl logs -n dynatrace -l app.kubernetes.io/name=oneagent --tail=100

# Check ActiveGate status
kubectl logs -n dynatrace -l app.kubernetes.io/name=activegate --tail=100

Cloud Native Full Stack 模式

通过代码模块注入进行轻量级监控：

yaml

# dynakube-cloudnative.yaml
apiVersion: dynatrace.com/v1beta2
kind: DynaKube
metadata:
  name: dynakube
  namespace: dynatrace
spec:
  apiUrl: https://<ENVIRONMENT_ID>.live.dynatrace.com/api

  oneAgent:
    # Cloud Native Full Stack (Sidecar approach)
    cloudNativeFullStack:
      # Code modules image
      codeModulesImage: docker.io/dynatrace/dynatrace-codemodules

      # Namespace selector
      namespaceSelector:
        matchLabels:
          dynatrace-injection: enabled

      # Resource limits
      initResources:
        requests:
          cpu: 30m
          memory: 30Mi
        limits:
          cpu: 300m
          memory: 300Mi

      # Node selector
      nodeSelector:
        kubernetes.io/os: linux

      # Tolerations
      tolerations:
        - effect: NoSchedule
          operator: Exists

  # Host monitoring separate configuration
  hostGroup: eks-prod-cloudnative

  activeGate:
    capabilities:
      - routing
      - kubernetes-monitoring

Davis AI 根本原因分析

Davis AI 的工作原理

问题告警配置

yaml

# Dynatrace alerting profile (via API)
# POST /api/config/v1/alertingProfiles
{
  "displayName": "EKS Production Alerts",
  "rules": [
    {
      "severityLevel": "AVAILABILITY",
      "tagFilter": {
        "includeMode": "INCLUDE_ANY",
        "tagFilters": [
          {
            "context": "KUBERNETES_CLUSTER",
            "key": "eks-production"
          }
        ]
      },
      "delayInMinutes": 0
    },
    {
      "severityLevel": "ERROR",
      "tagFilter": {
        "includeMode": "INCLUDE_ANY",
        "tagFilters": [
          {
            "context": "CONTEXTLESS",
            "key": "environment",
            "value": "production"
          }
        ]
      },
      "delayInMinutes": 5
    }
  ],
  "eventTypeFilters": []
}

自动插桩

支持的技术

语言/平台	支持的框架
Java	Spring, Spring Boot, Micronaut, Quarkus, Jakarta EE
Node.js	Express, Fastify, NestJS, Koa
Python	Django, Flask, FastAPI
.NET	ASP.NET Core, .NET Framework
Go	net/http, Gin, Echo, Fiber
PHP	Laravel, Symfony

验证自动插桩

bash

# Check Pod environment variables
kubectl exec -it <pod-name> -- env | grep -i dynatrace

# Expected output:
# LD_PRELOAD=/opt/dynatrace/oneagent/agent/lib64/liboneagentproc.so
# DT_TENANT=abc12345
# DT_TENANTTOKEN=xxxxx
# DT_CONNECTION_POINT=https://abc12345.live.dynatrace.com/communication

# Check OneAgent logs
kubectl exec -it <pod-name> -- cat /var/log/dynatrace/oneagent/oneagent.log

成本结构

许可模型

类型	单位	包含内容
Full-Stack	Host Unit	基础设施 + APM + 日志
Infrastructure	Host Unit	仅基础设施监控
Application Security	Host Unit	RASP + 漏洞分析
DEM (Digital Experience)	Session	RUM + Synthetic
Log Monitoring	GiB	日志收集和分析

成本优化策略

yaml

# 1. Selective namespace monitoring
spec:
  oneAgent:
    cloudNativeFullStack:
      namespaceSelector:
        matchLabels:
          dynatrace-injection: enabled  # Only necessary namespaces

# 2. Resource limits
      resources:
        limits:
          cpu: 500m
          memory: 1Gi

# 3. Data retention adjustment (Dynatrace console)
# Settings > Monitoring > Data privacy > Data retention

# 4. Disable session replay if needed
# Applications > [App] > Session Replay > Disable

Host Unit 计算

Host Units = max(memory_GB / 16, vCPU / 1.5)

Examples:
- 4 vCPU, 16GB RAM = max(1, 2.67) = 2.67 Host Units
- 8 vCPU, 32GB RAM = max(2, 5.33) = 5.33 Host Units
- 2 vCPU, 8GB RAM  = max(0.5, 1.33) = 1.33 Host Units

OpenTelemetry 集成

Dynatrace 可原生收集 OpenTelemetry 数据：

yaml

# Send from OTEL Collector to Dynatrace
exporters:
  otlphttp/dynatrace:
    endpoint: https://<ENVIRONMENT_ID>.live.dynatrace.com/api/v2/otlp
    headers:
      Authorization: "Api-Token <DYNATRACE_API_TOKEN>"

service:
  pipelines:
    traces:
      exporters: [otlphttp/dynatrace]
    metrics:
      exporters: [otlphttp/dynatrace]
    logs:
      exporters: [otlphttp/dynatrace]

故障排除

常见问题

bash

# 1. OneAgent connection issues
kubectl logs -n dynatrace -l app.kubernetes.io/name=oneagent | grep -i error

# 2. ActiveGate status check
kubectl exec -n dynatrace -it $(kubectl get pod -n dynatrace -l app.kubernetes.io/name=activegate -o jsonpath='{.items[0].metadata.name}') -- \
  /opt/dynatrace/gateway/jre/bin/java -jar /opt/dynatrace/gateway/lib/cli.jar status

# 3. Code module injection verification
kubectl describe pod <pod-name> | grep -A5 "Init Containers"

# 4. Network connectivity test
kubectl exec -n dynatrace -it <oneagent-pod> -- \
  curl -v https://<ENVIRONMENT_ID>.live.dynatrace.com/api/v1/deployment/installer/agent/connectioninfo

# 5. Token permission verification
curl -X GET "https://<ENVIRONMENT_ID>.live.dynatrace.com/api/v2/apiTokens/<TOKEN_ID>" \
  -H "Authorization: Api-Token <API_TOKEN>"

日志收集验证

bash

# ActiveGate logs
kubectl logs -n dynatrace -l app.kubernetes.io/name=activegate --tail=200

# OneAgent logs
kubectl exec -n dynatrace -it <oneagent-pod> -- \
  tail -100 /var/log/dynatrace/oneagent/oneagent.log

# Operator logs
kubectl logs -n dynatrace -l app.kubernetes.io/name=dynatrace-operator --tail=100

测验

通过 Dynatrace 测验测试你的知识。

端到端可观测性实验

ArgoCD 详解测验

Istio 详解测验

Linkerd 详解测验

Cilium 服务网格详解测验

Cilium 深入解析

Calico 深入解析

指标

日志

追踪

告警

可观测性实验

ArgoCD

流量管理

安全性

可观测性

弹性

高级

对比指南

指标

日志

追踪

告警

Dynatrace ​

简介 ​

主要功能 ​

架构 ​

使用 Helm 部署到 EKS ​

1. 安装 Dynatrace Operator ​

2. 创建 API Token ​

3. 创建 Secret ​

4. values.yaml 配置 ​

5. 安装 Operator ​

6. DynaKube CR 配置 ​

7. 部署并验证 ​

Cloud Native Full Stack 模式 ​

Davis AI 根本原因分析 ​

Davis AI 的工作原理 ​

问题告警配置 ​

自动插桩 ​

支持的技术 ​

验证自动插桩 ​

成本结构 ​

许可模型 ​

成本优化策略 ​

Host Unit 计算 ​

OpenTelemetry 集成 ​

故障排除 ​

常见问题 ​

日志收集验证 ​

测验 ​

Dynatrace

简介

主要功能

架构

使用 Helm 部署到 EKS

1. 安装 Dynatrace Operator

2. 创建 API Token

3. 创建 Secret

4. values.yaml 配置

5. 安装 Operator

6. DynaKube CR 配置

7. 部署并验证

Cloud Native Full Stack 模式

Davis AI 根本原因分析

Davis AI 的工作原理

问题告警配置

自动插桩

支持的技术

验证自动插桩

成本结构

许可模型

成本优化策略

Host Unit 计算

OpenTelemetry 集成

故障排除

常见问题

日志收集验证

测验