菜单
Set up monitoring, logging, and alerting for infrastructure and applications. Use when implementing observability, creating dashboards, or configuring alerts.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Creates and validates Azure Resource Manager (ARM) templates for infrastructure deployment. Use when creating ARM templates, deploying Azure infrastructure as code, or validating Azure templates.
Analyzes Azure costs and provides optimization recommendations including reserved instances, rightsizing, and unused resources. Use when optimizing Azure spending or analyzing Azure costs.
Creates dbt models with proper layering (staging, marts), incremental strategies, and documentation. Use when creating dbt models, organizing data transformations, or implementing incremental models.
Generates dbt tests including schema tests, data quality tests, and freshness checks. Use when adding tests to dbt models or implementing data quality validation.
Configures Google Cloud Build pipelines with caching, parallel builds, and optimization. Use when setting up Cloud Build, optimizing build performance, or configuring CI/CD pipelines.
Analyzes GCP costs and provides optimization recommendations including committed use discounts, rightsizing, and unused resources. Use when optimizing GCP spending or analyzing GCP costs.
| name | infrastructure-monitor |
| description | Set up monitoring, logging, and alerting for infrastructure and applications. Use when implementing observability, creating dashboards, or configuring alerts. |
Set up comprehensive monitoring and observability.
Use Prometheus for metrics, Grafana for dashboards, Loki for logs, set up alerts for critical issues.
Application instrumentation:
const prometheus = require('prom-client');
const httpRequestDuration = new prometheus.Histogram({
name: 'http_request_duration_seconds',
help: 'Duration of HTTP requests in seconds',
labelNames: ['method', 'route', 'status_code']
});
app.use((req, res, next) => {
const start = Date.now();
res.on('finish', () => {
const duration = (Date.now() - start) / 1000;
httpRequestDuration.labels(req.method, req.route?.path, res.statusCode).observe(duration);
});
next();
});
Prometheus config:
scrape_configs:
- job_name: 'app'
static_configs:
- targets: ['app:3000']
scrape_interval: 15s
Key metrics to monitor:
Structured logging:
const winston = require('winston');
const logger = winston.createLogger({
format: winston.format.json(),
transports: [
new winston.transports.Console()
]
});
logger.info('User logged in', { userId: user.id, ip: req.ip });
Alert rules:
groups:
- name: app_alerts
rules:
- alert: HighErrorRate
expr: rate(http_requests_total{status=~"5.."}[5m]) > 0.05
for: 5m
annotations:
summary: "High error rate detected"