---

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

Vast.ai Observability

Overview

Set up comprehensive observability for Vast.ai integrations.

Prerequisites

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

Metrics Collection

Key Metrics

Prometheus Metrics

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

const registry = new Registry();

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

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

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

Instrumented Client

Copyasync 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

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

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

async function tracedVast.aiCall<T>(
  operationName: string,
  operation: () => Promise<T>
): Promise<T> {
  return tracer.startActiveSpan(`vastai.${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

Copyimport pino from 'pino';

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

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

Alert Configuration

Prometheus AlertManager Rules

Copy# vastai_alerts.yaml
groups:
  - name: vastai_alerts
    rules:
      - alert: Vast.aiHighErrorRate
        expr: |
          rate(vastai_errors_total[5m]) /
          rate(vastai_requests_total[5m]) > 0.05
        for: 5m
        labels:
          severity: warning
        annotations:
          summary: "Vast.ai error rate > 5%"

      - alert: Vast.aiHighLatency
        expr: |
          histogram_quantile(0.95,
            rate(vastai_request_duration_seconds_bucket[5m])
          ) > 2
        for: 5m
        labels:
          severity: warning
        annotations:
          summary: "Vast.ai P95 latency > 2s"

      - alert: Vast.aiDown
        expr: up{job="vastai"} == 0
        for: 1m
        labels:
          severity: critical
        annotations:
          summary: "Vast.ai integration is down"

Dashboard

Grafana Panel Queries

Copy{
  "panels": [
    {
      "title": "Vast.ai Request Rate",
      "targets": [{
        "expr": "rate(vastai_requests_total[5m])"
      }]
    },
    {
      "title": "Vast.ai Latency P50/P95/P99",
      "targets": [{
        "expr": "histogram_quantile(0.5, rate(vastai_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

Examples

Quick Metrics Endpoint

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

Resources

• Prometheus Best Practices
• OpenTelemetry Documentation
• Vast.ai Observability Guide

Next Steps

For incident response, see vastai-incident-runbook.