AGENT SKILL

deploying-monitoring-stacks

Use when deploying monitoring stacks including Prometheus, Grafana, and Datadog. Trigger with phrases like "deploy monitoring stack", "setup prometheus", "configure grafana", or "install datadog agent". Generates production-ready configurations with metric collection, visualization dashboards, and alerting rules.

使用场景运维与部署
License 许可
MIT
最近更新
2026-08-29
Stars
★ 2
Forks
0

01 前言 Front Matter

name
deploying-monitoring-stacks
license
MIT
version
1.0.0
description
Use when deploying monitoring stacks including Prometheus, Grafana, and Datadog. Trigger with phrases like "deploy monitoring stack", "setup prometheus", "configure grafana", or "install datadog agent". Generates production-ready configurations with metric collection, visualization dashboards, and alerting rules.
allowed-tools
[ "Read", "Write", "Edit", "Grep", "Glob", "Bash(docker:*)", "Bash(kubectl:*)" ]

02 资源文件 9

03 SKILL.md 正文

Prerequisites

Before using this skill, ensure:

  • Target infrastructure is identified (Kubernetes, Docker, bare metal)
  • Metric endpoints are accessible from monitoring platform
  • Storage backend is configured for time-series data
  • Alert notification channels are defined (email, Slack, PagerDuty)
  • Resource requirements are calculated based on scale

Instructions

  1. Select Platform: Choose Prometheus/Grafana, Datadog, or hybrid approach
  2. Deploy Collectors: Install exporters and agents on monitored systems
  3. Configure Scraping: Define metric collection endpoints and intervals
  4. Set Up Storage: Configure retention policies and data compaction
  5. Create Dashboards: Build visualization panels for key metrics
  6. Define Alerts: Create alerting rules with appropriate thresholds
  7. Test Monitoring: Verify metrics flow and alert triggering

Output

Prometheus + Grafana (Kubernetes):

# {baseDir}/monitoring/prometheus.yaml
apiVersion: v1
kind: ConfigMap
metadata:
  name: prometheus-config
data:
  prometheus.yml: |
    global:
      scrape_interval: 15s
      evaluation_interval: 15s
    scrape_configs:
      - job_name: 'kubernetes-pods'
        kubernetes_sd_configs:
          - role: pod
        relabel_configs:
          - source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_scrape]
            action: keep
            regex: true
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: prometheus
spec:
  replicas: 1
  template:
    spec:
      containers:
      - name: prometheus
        image: prom/prometheus:latest
        args:
          - '--config.file=/etc/prometheus/prometheus.yml'
          - '--storage.tsdb.retention.time=30d'
        ports:
        - containerPort: 9090

Grafana Dashboard Configuration:

{
  "dashboard": {
    "title": "Application Metrics",
    "panels": [
      {
        "title": "CPU Usage",
        "type": "graph",
        "targets": [
          {
            "expr": "rate(container_cpu_usage_seconds_total[5m])"
          }
        ]
      }
    ]
  }
}

Error Handling

Metrics Not Appearing

  • Error: "No data points"
  • Solution: Verify scrape targets are accessible and returning metrics

High Cardinality

  • Error: "Too many time series"
  • Solution: Reduce label combinations or increase Prometheus resources

Alert Not Firing

  • Error: "Alert condition met but no notification"
  • Solution: Check Alertmanager configuration and notification channels

Dashboard Load Failure

  • Error: "Failed to load dashboard"
  • Solution: Verify Grafana datasource configuration and permissions

Resources

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