---

name: windsurf-observability description: | Set up comprehensive observability for Windsurf integrations with metrics, traces, and alerts. Use when implementing monitoring for Windsurf operations, setting up dashboards, or configuring alerting for Windsurf integration health. Trigger with phrases like "windsurf monitoring", "windsurf metrics", "windsurf observability", "monitor windsurf", "windsurf alerts", "windsurf tracing". allowed-tools: Read, Write, Edit version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io

Windsurf Observability

Overview

Set up comprehensive observability for Windsurf integrations.

Prerequisites

• Prometheus or compatible metrics backend
• OpenTelemetry SDK installed
• Grafana or similar dashboarding tool
• AlertManager configured

Metrics Collection

Key Metrics

| Metric | Type | Description | |--------|------|-------------| | windsurf_requests_total | Counter | Total API requests | | windsurf_request_duration_seconds | Histogram | Request latency | | windsurf_errors_total | Counter | Error count by type | | windsurf_rate_limit_remaining | Gauge | Rate limit headroom |

Prometheus Metrics

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

const registry = new Registry();

const requestCounter = new Counter({
  name: 'windsurf_requests_total',
  help: 'Total Windsurf API requests',
  labelNames: ['method', 'status'],
  registers: [registry],
});

const requestDuration = new Histogram({
  name: 'windsurf_request_duration_seconds',
  help: 'Windsurf request duration',
  labelNames: ['method'],
  buckets: [0.05, 0.1, 0.25, 0.5, 1, 2.5, 5],
  registers: [registry],
});

const errorCounter = new Counter({
  name: 'windsurf_errors_total',
  help: 'Windsurf errors by type',
  labelNames: ['error_type'],
  registers: [registry],
});

Instrumented Client

async function instrumentedRequest<T>(
  method: string,
  operation: () => Promise<T>
): Promise<T> {
  const timer = requestDuration.startTimer({ method });

  try {
    const result = await operation();
    requestCounter.inc({ method, status: 'success' });
    return result;
  } catch (error: any) {
    requestCounter.inc({ method, status: 'error' });
    errorCounter.inc({ error_type: error.code || 'unknown' });
    throw error;
  } finally {
    timer();
  }
}

Distributed Tracing

OpenTelemetry Setup

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

const tracer = trace.getTracer('windsurf-client');

async function tracedWindsurfCall<T>(
  operationName: string,
  operation: () => Promise<T>
): Promise<T> {
  return tracer.startActiveSpan(`windsurf.${operationName}`, async (span) => {
    try {
      const result = await operation();
      span.setStatus({ code: SpanStatusCode.OK });
      return result;
    } catch (error: any) {
      span.setStatus({ code: SpanStatusCode.ERROR, message: error.message });
      span.recordException(error);
      throw error;
    } finally {
      span.end();
    }
  });
}

Logging Strategy

Structured Logging

import pino from 'pino';

const logger = pino({
  name: 'windsurf',
  level: process.env.LOG_LEVEL || 'info',
});

function logWindsurfOperation(
  operation: string,
  data: Record<string, any>,
  duration: number
) {
  logger.info({
    service: 'windsurf',
    operation,
    duration_ms: duration,
    ...data,
  });
}

Alert Configuration

Prometheus AlertManager Rules

# windsurf_alerts.yaml
groups:
  - name: windsurf_alerts
    rules:
      - alert: WindsurfHighErrorRate
        expr: |
          rate(windsurf_errors_total[5m]) /
          rate(windsurf_requests_total[5m]) > 0.05
        for: 5m
        labels:
          severity: warning
        annotations:
          summary: "Windsurf error rate > 5%"

      - alert: WindsurfHighLatency
        expr: |
          histogram_quantile(0.95,
            rate(windsurf_request_duration_seconds_bucket[5m])
          ) > 2
        for: 5m
        labels:
          severity: warning
        annotations:
          summary: "Windsurf P95 latency > 2s"

      - alert: WindsurfDown
        expr: up{job="windsurf"} == 0
        for: 1m
        labels:
          severity: critical
        annotations:
          summary: "Windsurf integration is down"

Dashboard

Grafana Panel Queries

{
  "panels": [
    {
      "title": "Windsurf Request Rate",
      "targets": [{
        "expr": "rate(windsurf_requests_total[5m])"
      }]
    },
    {
      "title": "Windsurf Latency P50/P95/P99",
      "targets": [{
        "expr": "histogram_quantile(0.5, rate(windsurf_request_duration_seconds_bucket[5m]))"
      }]
    }
  ]
}

Instructions

Step 1: Set Up Metrics Collection

Implement Prometheus counters, histograms, and gauges for key operations.

Step 2: Add Distributed Tracing

Integrate OpenTelemetry for end-to-end request tracing.

Step 3: Configure Structured Logging

Set up JSON logging with consistent field names.

Step 4: Create Alert Rules

Define Prometheus alerting rules for error rates and latency.

Output

• Metrics collection enabled
• Distributed tracing configured
• Structured logging implemented
• Alert rules deployed

Error Handling

| Issue | Cause | Solution | |-------|-------|----------| | Missing metrics | No instrumentation | Wrap client calls | | Trace gaps | Missing propagation | Check context headers | | Alert storms | Wrong thresholds | Tune alert rules | | High cardinality | Too many labels | Reduce label values |

Examples

Quick Metrics Endpoint

app.get('/metrics', async (req, res) => {
  res.set('Content-Type', registry.contentType);
  res.send(await registry.metrics());
});

Resources

• Prometheus Best Practices
• OpenTelemetry Documentation
• Windsurf Observability Guide

Next Steps

For incident response, see windsurf-incident-runbook.