# 创建docker-compose.yml
$ cat > docker-compose.yml << 'EOF'
version: '3.8'

services:
  elasticsearch:
    image: elasticsearch:7.17.0
    environment:
      - discovery.type=single-node
      - ES_JAVA_OPTS=-Xms512m -Xmx512m
    ports:
      - "9200:9200"
    volumes:
      - elasticsearch-data:/usr/share/elasticsearch/data
  
  logstash:
    image: logstash:7.17.0
    volumes:
      - ./logstash.conf:/usr/share/logstash/pipeline/logstash.conf
    ports:
      - "5044:5044"
    depends_on:
      - elasticsearch
  
  kibana:
    image: kibana:7.17.0
    ports:
      - "5601:5601"
    depends_on:
      - elasticsearch
  
  filebeat:
    image: elastic/filebeat:7.17.0
    volumes:
      - /var/lib/docker/containers:/var/lib/docker/containers:ro
      - ./filebeat.yml:/usr/share/filebeat/filebeat.yml:ro
    depends_on:
      - logstash

volumes:
  elasticsearch-data:
EOF

# 创建logstash.conf
$ cat > logstash.conf << 'EOF'
input {
  beats {
    port => 5044
  }
}

output {
  elasticsearch {
    hosts => ["elasticsearch:9200"]
    index => "docker-logs-%{+YYYY.MM.dd}"
  }
}
EOF

# 创建filebeat.yml
$ cat > filebeat.yml << 'EOF'
filebeat.inputs:
- type: container
  paths:
    - /var/lib/docker/containers/*/*.log
  processors:
    - add_docker_metadata: ~

output.logstash:
  hosts: ["logstash:5044"]
EOF

# 启动ELK Stack
$ docker-compose up -d

Creating network "elk_default" with the default driver
Creating volume "elk_elasticsearch-data" with default driver
Creating elk_elasticsearch_1 ... done
Creating elk_logstash_1 ... done
Creating elk_kibana_1 ... done
Creating elk_filebeat_1 ... done

# 创建docker-compose.yml
$ cat > docker-compose.yml << 'EOF'
version: '3.8'

services:
  prometheus:
    image: prom/prometheus:v2.33.0
    volumes:
      - ./prometheus.yml:/etc/prometheus/prometheus.yml
      - ./prometheus-rules.yml:/etc/prometheus/rules.yml
    ports:
      - "9090:9090"
  
  node-exporter:
    image: prom/node-exporter:v1.3.1
    ports:
      - "9100:9100"
  
  cadvisor:
    image: gcr.io/cadvisor/cadvisor:latest
    volumes:
      - /:/rootfs:ro
      - /var/run:/var/run:ro
      - /sys:/sys:ro
      - /var/lib/docker/:/var/lib/docker:ro
    ports:
      - "8080:8080"
  
  grafana:
    image: grafana/grafana:8.3.3
    ports:
      - "3000:3000"
    volumes:
      - grafana-storage:/var/lib/grafana
    depends_on:
      - prometheus

volumes:
  grafana-storage:
EOF

# 创建prometheus.yml
$ cat > prometheus.yml << 'EOF'
global:
  scrape_interval: 15s

scrape_configs:
  - job_name: 'prometheus'
    static_configs:
      - targets: ['localhost:9090']
  
  - job_name: 'node-exporter'
    static_configs:
      - targets: ['node-exporter:9100']
  
  - job_name: 'cadvisor'
    static_configs:
      - targets: ['cadvisor:8080']
EOF

# 创建prometheus-rules.yml
$ cat > prometheus-rules.yml << 'EOF'
groups:
- name: docker-alerts
  rules:
  - alert: HighCPUUsage
    expr: (sum(rate(container_cpu_usage_seconds_total{name!=""}[5m])) by (name) / sum(container_spec_cpu_quota{name!=""} / container_spec_cpu_period{name!=""}) by (name)) * 100 > 80
    for: 5m
    labels:
      severity: warning
    annotations:
      summary: "High CPU usage for container {{ $labels.name }}"
      description: "Container {{ $labels.name }} has been using more than 80% CPU for 5 minutes."
  - alert: HighMemoryUsage
    expr: (sum(container_memory_usage_bytes{name!=""}) by (name) / sum(container_spec_memory_limit_bytes{name!=""}) by (name)) * 100 > 80
    for: 5m
    labels:
      severity: warning
    annotations:
      summary: "High memory usage for container {{ $labels.name }}"
      description: "Container {{ $labels.name }} has been using more than 80% memory for 5 minutes."
EOF

# 启动服务
$ docker-compose up -d

Creating network "monitoring_default" with the default driver
Creating volume "monitoring_grafana-storage" with default driver
Creating monitoring_node-exporter_1 ... done
Creating monitoring_cadvisor_1 ... done
Creating monitoring_prometheus_1 ... done
Creating monitoring_grafana_1 ... done

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