Ops Monitoring

Monitoring Instrumentation

3 Pillars of Observability

1. Logs - Discrete events
2. Metrics - Numerical measurements
3. Traces - Request paths

Structured Logs (Node.js)

import pino from 'pino';

const logger = pino({
  level: process.env.LOG_LEVEL || 'info',
  base: { service: 'api', env: process.env.NODE_ENV },
});

logger.info({ userId: '123', action: 'login' }, 'User logged in');
logger.error({ err, requestId }, 'Request failed');

Prometheus Metrics

import { Counter, Histogram, Registry } from 'prom-client';

const httpRequests = new Counter({
  name: 'http_requests_total',
  help: 'Total HTTP requests',
  labelNames: ['method', 'path', 'status'],
});

const httpDuration = new Histogram({
  name: 'http_request_duration_seconds',
  help: 'Request duration',
  labelNames: ['method', 'path'],
  buckets: [0.1, 0.5, 1, 2, 5],
});

OpenTelemetry Traces

import { trace } from '@opentelemetry/api';

const tracer = trace.getTracer('my-service');

async function processOrder(orderId: string) {
  return tracer.startActiveSpan('processOrder', async (span) => {
    span.setAttribute('orderId', orderId);
    try {
      // ... processing
    } finally {
      span.end();
    }
  });
}

Health Checks

app.get('/health', (req, res) => res.json({ status: 'ok' }));

app.get('/ready', async (req, res) => {
  const dbOk = await db.query('SELECT 1');
  res.status(dbOk ? 200: 503).json({ db: dbOk });
});

Deploying the observability stack

Once the code is instrumented, deploy the backing stack (Prometheus + Grafana + Loki + Alertmanager).

• Mode: Docker Compose for dev/staging, Kubernetes + Helm for production (or Victoria Metrics / managed).
• Prometheus: prometheus.yml scrape configs + alert.rules.yml.
• Alertmanager: alertmanager.yml routes + receivers (Slack / PagerDuty / email).
• Grafana: provision datasources + dashboards.
• Loki + Promtail: log aggregation; add node-exporter + cAdvisor for system metrics.
• Persistent storage for metrics data; never expose Prometheus/Alertmanager without auth in production; configure alerts before going to prod and test the stack in staging first.

See also

Grafana Labs publishes their own official agent skills at grafana/skills (31★, last commit 2026-05-04). The repo covers Grafana Core, Grafana Cloud, the LGTM stack (Loki/Grafana/Tempo/Mimir), k6 performance testing, and the Grafana app SDK. A separate companion repo grafana/pyroscope-skills covers continuous profiling.

When working on a project that uses the Grafana / LGTM stack, install the vendor skill alongside this one. This skill captures the three-pillar instrumentation overview (logs / metrics / traces) and the foundation's basic OTEL + health-check skeleton; the vendor skill captures the canonical Grafana operational patterns that evolve with each Grafana release. For non-Grafana stacks (Datadog, New Relic, Honeycomb, etc.), this skill remains the primary reference.

Vendor-neutrality: Grafana Labs is independent. No concern.

Install command and full list of validated vendor skills: docs/recipes/recommended-vendor-skills.md. Audit pilot trace: specs/marketplace-audit/ops-skills-pilot-2026-05-06.md.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: christopherlouet
• Source: christopherlouet/claude-base
• License: MIT
• Homepage: https://christopherlouet.github.io/claude-base/

Install and usage instructions live in the source repository linked above.