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:
javascript
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:
yaml
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:
javascript
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:
yaml
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