---

name: setup-prometheus-monitoring locale: wenyan-ultra source_locale: en source_commit: 82c77053 fence_basis_commit: 82c77053 translator: "Julius Brussee homage — caveman" translation_date: "2026-05-03" description: > Configure Prometheus for time-series metrics collection, including scrape configurations, service discovery, recording rules, and federation patterns for multi-cluster deployments. Use when setting up centralized metrics collection for microservices, implementing time-series monitoring for application and infrastructure, establishing a foundation for SLO/SLI tracking and alerting, or migrating from legacy monitoring solutions to a modern observability stack. license: MIT allowed-tools: Read Write Edit Bash Grep Glob metadata: author: Philipp Thoss version: "1.0" domain: observability complexity: intermediate language: multi tags: prometheus, monitoring, metrics, scrape, recording-rules

設 Prometheus 察

配產備 Prometheus 釋含採標、錄則、聯。

用

• 為微服或散系設集指採→用
• 行時序察為應與基設指→用
• 為 SLO/SLI 追與警立基→用
• 跨諸 Prometheus 經聯合指→用
• 自舊察方遷至今察棧→用

入

• 必：採標列（服、出器、端）
• 必：留期與儲需
• 可：既服發現機（Kubernetes、Consul、EC2）
• 可：錄則為預聚指
• 可：聯階為多叢設

行

一：裝配 Prometheus

建基 Prometheus 配含全設與採間：

# Create Prometheus directory structure
mkdir -p /etc/prometheus/{rules,file_sd}
mkdir -p /var/lib/prometheus

# Download Prometheus (adjust version as needed)
cd /tmp
wget https://github.com/prometheus/prometheus/releases/download/v2.48.0/prometheus-2.48.0.linux-amd64.tar.gz
tar xvf prometheus-2.48.0.linux-amd64.tar.gz
sudo cp prometheus-2.48.0.linux-amd64/{prometheus,promtool} /usr/local/bin/

建 /etc/prometheus/prometheus.yml：

global:
  scrape_interval: 15s
  scrape_timeout: 10s
  evaluation_interval: 15s
  external_labels:
    cluster: 'production'
    region: 'us-east-1'

# Alertmanager configuration
alerting:
  alertmanagers:
    - static_configs:
        - targets:
            - localhost:9093

# Load recording and alerting rules
rule_files:
  - "rules/*.yml"

# Scrape configurations
scrape_configs:
  # Prometheus self-monitoring
  - job_name: 'prometheus'
    static_configs:
      - targets: ['localhost:9090']
        labels:
          env: 'production'

  # Node exporter for host metrics
  - job_name: 'node'
    static_configs:
      - targets:
          - 'node1:9100'
          - 'node2:9100'
        labels:
          env: 'production'

  # Application metrics with file-based service discovery
  - job_name: 'app-services'
    file_sd_configs:
      - files:
          - '/etc/prometheus/file_sd/services.json'
        refresh_interval: 30s
    relabel_configs:
      - source_labels: [__address__]
        target_label: instance
      - source_labels: [env]
        target_label: environment

得：Prometheus 啟、網 UI 達於 http://localhost:9090、標列於 Status > Targets。

敗：

• promtool check config /etc/prometheus/prometheus.yml 察語
• 驗檔權：sudo chown -R prometheus:prometheus /etc/prometheus /var/lib/prometheus
• 察日誌：journalctl -u prometheus -f

二：配服發現

設動標發現以免手管。

Kubernetes：

  - job_name: 'kubernetes-pods'
    kubernetes_sd_configs:
      - role: pod
    relabel_configs:
      # Only scrape pods with prometheus.io/scrape annotation
      - source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_scrape]
        action: keep
        regex: true
      # Use custom port if specified
      - source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_port]
        action: replace
        target_label: __address__
        regex: ([^:]+)(?::\d+)?;(\d+)
        replacement: $1:$2
      # Add namespace as label
      - source_labels: [__meta_kubernetes_namespace]
        target_label: kubernetes_namespace
      # Add pod name as label
      - source_labels: [__meta_kubernetes_pod_name]
        target_label: kubernetes_pod_name

檔基服發現—建 /etc/prometheus/file_sd/services.json：

[
  {
    "targets": ["web-app-1:8080", "web-app-2:8080"],
    "labels": {
      "job": "web-app",
      "env": "production",
      "team": "platform"
    }
  },
  {
    "targets": ["api-service-1:9090", "api-service-2:9090"],
    "labels": {
      "job": "api-service",
      "env": "production",
      "team": "backend"
    }
  }
]

Consul：

  - job_name: 'consul-services'
    consul_sd_configs:
      - server: 'consul.example.com:8500'
        services: []  # Empty list means discover all services
    relabel_configs:
      - source_labels: [__meta_consul_service]
        target_label: job
      - source_labels: [__meta_consul_tags]
        regex: '.*,monitoring,.*'
        action: keep

得：動標現於 Prometheus UI、服變/縮時自更。

敗：

• Kubernetes：驗 RBAC kubectl auth can-i list pods --as=system:serviceaccount:monitoring:prometheus
• 檔 SD：驗 JSON python -m json.tool /etc/prometheus/file_sd/services.json
• Consul：測連 curl http://consul.example.com:8500/v1/catalog/services

三：建錄則

預聚貴詢為儀板性與警效。

建 /etc/prometheus/rules/recording_rules.yml：

groups:
  - name: api_aggregations
    interval: 30s
    rules:
      # Calculate request rate per endpoint (5m window)
      - record: job:http_requests:rate5m
        expr: |
          sum by (job, endpoint, method) (
            rate(http_requests_total[5m])
          )

      # Calculate error rate percentage
      - record: job:http_errors:rate5m
        expr: |
          sum by (job) (
            rate(http_requests_total{status=~"5.."}[5m])
          ) / sum by (job) (
            rate(http_requests_total[5m])
          ) * 100

      # P95 latency by endpoint
      - record: job:http_request_duration_seconds:p95
        expr: |
          histogram_quantile(0.95,
            sum by (job, endpoint, le) (
              rate(http_request_duration_seconds_bucket[5m])
            )
          )

  - name: resource_aggregations
    interval: 1m
    rules:
      # CPU usage by instance
      - record: instance:cpu_usage:ratio
        expr: |
          1 - avg by (instance) (
            rate(node_cpu_seconds_total{mode="idle"}[5m])
          )

      # Memory usage percentage
      - record: instance:memory_usage:ratio
        expr: |
          1 - (
            node_memory_MemAvailable_bytes / node_memory_MemTotal_bytes
          )

      # Disk usage by mount point
      - record: instance:disk_usage:ratio
        expr: |
          1 - (
            node_filesystem_avail_bytes{fstype!~"tmpfs|fuse.*"}
            / node_filesystem_size_bytes{fstype!~"tmpfs|fuse.*"}
          )

驗並重載：

# Validate rules syntax
promtool check rules /etc/prometheus/rules/recording_rules.yml

# Reload Prometheus configuration (without restart)
curl -X POST http://localhost:9090/-/reload

# Or send SIGHUP signal
sudo killall -HUP prometheus

得：錄則成評、新指見於 Prometheus 含 job: 前、儀板詢性進。

敗：

• promtool check rules 察則語
• 驗評間合資可
• 缺源指：curl http://localhost:9090/api/v1/targets
• 察日誌評誤：journalctl -u prometheus | grep -i error

四：配儲與留

優儲為留需與詢性。

改 /etc/systemd/system/prometheus.service：

[Unit]
Description=Prometheus Monitoring System
Documentation=https://prometheus.io/docs/introduction/overview/
After=network-online.target

[Service]
Type=simple
User=prometheus
Group=prometheus
ExecStart=/usr/local/bin/prometheus \
  --config.file=/etc/prometheus/prometheus.yml \
  --storage.tsdb.path=/var/lib/prometheus \
  --storage.tsdb.retention.time=30d \
  --storage.tsdb.retention.size=50GB \
  --web.console.templates=/etc/prometheus/consoles \
  --web.console.libraries=/etc/prometheus/console_libraries \
  --web.listen-address=:9090 \
  --web.enable-lifecycle \
  --web.enable-admin-api

Restart=always
RestartSec=10s

[Install]
WantedBy=multi-user.target

要儲旗：

• --storage.tsdb.retention.time=30d：留 30 日
• --storage.tsdb.retention.size=50GB：限 50GB（先觸者）
• --storage.tsdb.wal-compression：WAL 壓（減盤 I/O）
• --web.enable-lifecycle：HTTP POST 重載
• --web.enable-admin-api：快照與刪 API

啟動：

sudo systemctl daemon-reload
sudo systemctl enable prometheus
sudo systemctl start prometheus
sudo systemctl status prometheus

得：Prometheus 按策留指、盤用於限內、舊資自剪。

敗：

• 察盤用：du -sh /var/lib/prometheus
• 察 TSDB 統：curl http://localhost:9090/api/v1/status/tsdb
• 驗留設：curl http://localhost:9090/api/v1/status/runtimeinfo | jq .data.storageRetention
• 強清：curl -X POST http://localhost:9090/api/v1/admin/tsdb/delete_series?match[]={__name__=~".+"}

五：設聯（多叢）

配階 Prometheus 為跨叢聚指。

於邊 Prometheus（各叢）確外標設：

global:
  external_labels:
    cluster: 'production-east'
    datacenter: 'us-east-1'

於央 Prometheus 加聯採配：

scrape_configs:
  - job_name: 'federate-production'
    honor_labels: true
    metrics_path: '/federate'
    params:
      'match[]':
        # Aggregate only pre-computed recording rules
        - '{__name__=~"job:.*"}'
        # Include alert states
        - '{__name__=~"ALERTS.*"}'
        # Include critical infrastructure metrics
        - 'up{job=~".*"}'
    static_configs:
      - targets:
          - 'prometheus-east.example.com:9090'
          - 'prometheus-west.example.com:9090'
        labels:
          env: 'production'
    relabel_configs:
      - source_labels: [__address__]
        target_label: instance
      - source_labels: [__address__]
        regex: 'prometheus-(.*).example.com.*'
        target_label: cluster
        replacement: '$1'

聯佳實：

• 用 honor_labels: true 保原標
• 僅聯錄則與聚（非原指）
• 設宜採間（長於邊評）
• 用 match[] 濾指（避全聯）

得：央 Prometheus 示諸叢聯指、詢可跨域、最少資重。

敗：

• 驗聯端達：curl http://prometheus-east.example.com:9090/federate?match[]={__name__=~"job:.*"} | head -20
• 察標衝（央 vs 邊外標）
• 察聯延：較時印異
• 察配式：curl http://localhost:9090/api/v1/label/__name__/values | jq .data | grep "job:"

六：行高可（可）

釋冗 Prometheus 含同配為轉。

用 Thanos 或 Cortex 為真 HA、或簡負衡：

# prometheus-1.yml and prometheus-2.yml (identical configs)
global:
  scrape_interval: 15s
  external_labels:
    prometheus: 'prometheus-1'  # Different per instance
    replica: 'A'

# Use --web.external-url flag for each instance
# prometheus-1: --web.external-url=http://prometheus-1.example.com:9090
# prometheus-2: --web.external-url=http://prometheus-2.example.com:9090

配 Grafana 詢二：

{
  "name": "Prometheus-HA",
  "type": "prometheus",
  "url": "http://prometheus-lb.example.com",
  "jsonData": {
    "httpMethod": "POST",
    "timeInterval": "15s"
  }
}

用 HAProxy 或 nginx 為負衡：

upstream prometheus_backend {
    server prometheus-1.example.com:9090 max_fails=3 fail_timeout=30s;
    server prometheus-2.example.com:9090 max_fails=3 fail_timeout=30s;
}

server {
    listen 9090;
    location / {
        proxy_pass http://prometheus_backend;
        proxy_set_header Host $host;
    }
}

得：詢請跨衡、單敗自轉、單敗無資失。

敗：

• 驗二採同標（微時偏可）
• 察配漂於二
• 察詢去重（Grafana 示重序）
• 察負衡健察

驗

• Prometheus 網 UI 達於期端
• 諸配採標於 Status > Targets 示 UP
• 服發現動加除標如期
• 錄則成評（日無誤）
• 指留合配時/大限
• 聯（如配）拉指自邊
• 詢返期指基（不過）
• 盤用穩於配儲預內
• 配重載經 HTTP 端或 SIGHUP 行
• Prometheus 自察指可（up、scrape duration 等）

忌

• 高基指：避無界值標（user ID、時印、UUID）。錄則聚於儲前
• 採間不合：錄則評間 ≥ 採間以免缺
• 聯過載：聯諸指生大資重。僅聯聚錄則
• 缺重標配：無正重標→服發現生混或重標
• 留過短：留長於最長儀板時窗以免「無資」缺
• 無資源限：高基時 Prometheus 可耗大記憶。設 --storage.tsdb.max-block-duration 並察堆用
• 禁生命週期端：無 --web.enable-lifecycle→配重載需全重啟致採缺

參

• configure-alerting-rules
• build-grafana-dashboards
• define-slo-sli-sla
• instrument-distributed-tracing