82 lines
2.5 KiB
YAML
82 lines
2.5 KiB
YAML
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apiVersion: v1
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kind: ConfigMap
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metadata:
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name: otel-gateway-config
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namespace: monitoring
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data:
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config.yaml: |
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receivers:
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# 接收来自 Agent 的数据 (gRPC 4317, HTTP 4318)
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otlp:
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protocols:
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grpc:
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endpoint: 0.0.0.0:4317
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http:
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endpoint: 0.0.0.0:4318
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# 1. 集群宏观: K8s 事件
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k8s_events:
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auth_type: serviceAccount
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# 2. 集群宏观：拉取 TKE 自带的 tke-kube-state-metrics (Kube-State-Metrics)
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prometheus:
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config:
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scrape_configs:
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- job_name: 'tke-kube-state-metrics'
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scrape_interval: 30s
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static_configs:
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- targets: ['tke-kube-state-metrics.kube-system.svc.cluster.local:8180']
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processors:
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batch:
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send_batch_size: 2000
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timeout: 10s
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resourcedetection:
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detectors: [env, system]
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override: true
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# 3. 注入集群 ID, 解决 Prometheus 重复采样报错
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resource:
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attributes:
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- key: cluster.name
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value: "test-k8s"
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action: upsert
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# 将 OTLP Resource 属性转换为 Metric 标签，确保 Prometheus 能够区分不同 Pod/Node
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transform:
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metric_statements:
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- context: datapoint
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statements:
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- set(attributes["k8s_pod_name"], resource.attributes["k8s.pod.name"])
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- set(attributes["k8s_node_name"], resource.attributes["k8s.node.name"])
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- set(attributes["k8s_namespace_name"], resource.attributes["k8s.namespace.name"])
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- set(attributes["k8s_container_name"], resource.attributes["k8s.container.name"])
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- set(attributes["cluster_name"], resource.attributes["cluster.name"])
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memory_limiter:
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check_interval: 1s
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limit_mib: 1500
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spike_limit_mib: 512
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exporters:
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# 对接 Prometheus
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otlphttp/prometheus:
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endpoint: "http://10.0.0.38:9090/api/v1/write"
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tls:
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insecure: true
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# 打印日志（用于排查）
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debug:
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verbosity: detailed
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service:
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pipelines:
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metrics:
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receivers: [otlp, prometheus] # 汇聚微观(otlp)和宏观(prometheus)指标
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processors: [memory_limiter, resourcedetection, resource, transform, batch]
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exporters: [otlphttp/prometheus]
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logs:
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receivers: [k8s_events]
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processors: [memory_limiter, resourcedetection, resource, batch]
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exporters: [debug]
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