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infrastructure-monitor
by armanzeroeight
🚀 A collection of Claude subagents, skills, rules, guides, and blueprints for Developers, Engineers, and Creators. | Covering programming languages, DevOps, Cloud, and beyond.
⭐ 20🍴 4📅 Jan 18, 2026
SKILL.md
name: infrastructure-monitor description: Set up monitoring, logging, and alerting for infrastructure and applications. Use when implementing observability, creating dashboards, or configuring alerts.
Infrastructure Monitor
Set up comprehensive monitoring and observability.
Quick Start
Use Prometheus for metrics, Grafana for dashboards, Loki for logs, set up alerts for critical issues.
Instructions
Metrics with Prometheus
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
Dashboards with Grafana
Key metrics to monitor:
- Request rate (requests/second)
- Error rate (errors/total requests)
- Response time (p50, p95, p99)
- CPU and memory usage
- Database query time
Logging with Loki
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 });
Alerting
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"
Best Practices
- Monitor golden signals (latency, traffic, errors, saturation)
- Set up actionable alerts
- Use log aggregation
- Implement distributed tracing
- Create runbooks for alerts
- Regular dashboard reviews
Score
Total Score
70/100
Based on repository quality metrics
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