0119同步
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88
OpenTelemetry/Collector_v3/04-otel-agent.yaml
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88
OpenTelemetry/Collector_v3/04-otel-agent.yaml
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apiVersion: opentelemetry.io/v1beta1
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kind: OpenTelemetryCollector
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metadata:
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name: otel-agent
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namespace: opentelemetry-operator-system
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spec:
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mode: daemonset
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hostNetwork: true # 建议开启,以便更准确获取 Host 指标
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config:
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receivers:
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# 1. 采集 Pod 和 容器 的资源使用情况 (CPU/Mem)
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kubeletstats:
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collection_interval: 20s
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auth_type: "serviceAccount"
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endpoint: "${env:K8S_NODE_NAME}:10250"
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insecure_skip_verify: true
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metric_groups:
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- node
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- pod
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- container
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# 2. 采集宿主机物理指标
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hostmetrics:
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collection_interval: 20s
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scrapers:
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cpu:
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memory:
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load:
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filesystem:
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network:
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# 3. (可选) 采集日志
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# filelog:
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# include: [/var/log/pods/*/*/*.log]
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# ...
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processors:
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batch:
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send_batch_size: 500
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timeout: 5s
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memory_limiter:
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check_interval: 1s
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limit_mib: 400
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spike_limit_mib: 100
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# 资源检测:自动识别云厂商(腾讯云)信息、主机名等
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resourcedetection:
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detectors: [system] # 如果在腾讯云CVM上,可以尝试加入 'tencentcloud' 但 system 通常足够
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timeout: 2s
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override: false
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# 关键:给指标打上 K8s 标签 (Pod Name, Namespace, Node Name)
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k8sattributes:
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passthrough: false
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extract:
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metadata:
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- k8s.pod.name
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- k8s.pod.uid
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- k8s.deployment.name
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- k8s.namespace.name
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- k8s.node.name
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pod_association:
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- sources:
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- from: resource_attribute
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name: k8s.pod.uid
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- sources:
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- from: resource_attribute
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name: k8s.pod.ip
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- sources:
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- from: connection
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exporters:
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# 发送给集群内的 Gateway Service
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otlp:
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endpoint: "otel-gateway-collector.opentelemetry-operator-system.svc.cluster.local:4317"
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tls:
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insecure: true
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service:
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pipelines:
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metrics:
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receivers: [kubeletstats, hostmetrics]
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processors: [resourcedetection, k8sattributes, memory_limiter, batch]
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exporters: [otlp]
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# traces: # 如果应用配置了 sidecar 或其他方式发送 trace 到本地 agent
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# receivers: [otlp]
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# exporters: [otlp]
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