juicebox-observability

name	juicebox-observability
description	Set up Juicebox monitoring and observability. Use when implementing logging, metrics, tracing, or alerting for Juicebox integrations. Trigger with phrases like "juicebox monitoring", "juicebox metrics", "juicebox logging", "juicebox observability".
allowed-tools	Read, Write, Edit, Bash(kubectl:*), Bash(curl:*)
version	1.0.0
license	MIT
author	Jeremy Longshore <[e-mail]>

Juicebox Observability

Overview

Implement comprehensive observability for Juicebox integrations including logging, metrics, tracing, and alerting.

Prerequisites

• Observability platform (DataDog, Grafana, etc.)
• Juicebox integration running
• Access to deploy monitoring agents

Three Pillars of Observability

1. Logging

2. Metrics

3. Tracing

Instructions

Step 1: Structured Logging

// lib/logger.ts
import pino from 'pino';

const logger = pino({
  level: process.env.LOG_LEVEL || 'info',
  formatters: {
    level: (label) => ({ level: label })
  },
  base: {
    service: 'juicebox-integration',
    environment: process.env.NODE_ENV
  }
});

export function createJuiceboxLogger(context: Record<string, any>) {
  return logger.child({ juicebox: true, ...context });
}

// Usage
const log = createJuiceboxLogger({ operation: 'search' });

log.info({ query, options }, 'Starting search');
log.info({ resultCount: results.length, duration }, 'Search completed');
log.error({ error: err.message, code: err.code }, 'Search failed');

Step 2: Metrics Collection

// lib/metrics.ts
import { Counter, Histogram, Registry } from 'prom-client';

const registry = new Registry();

// Request metrics
export const juiceboxRequests = new Counter({
  name: 'juicebox_requests_total',
  help: 'Total Juicebox API requests',
  labelNames: ['operation', 'status'],
  registers: [registry]
});

export const juiceboxLatency = new Histogram({
  name: 'juicebox_request_duration_seconds',
  help: 'Juicebox API request latency',
  labelNames: ['operation'],
  buckets: [0.1, 0.5, 1, 2, 5, 10],
  registers: [registry]
});

export const juiceboxCacheHits = new Counter({
  name: 'juicebox_cache_hits_total',
  help: 'Juicebox cache hits',
  labelNames: ['operation'],
  registers: [registry]
});

  juiceboxQuotaUsage =  ({
  : ,
  : ,
  : [],
  : [registry]
});


  instrumentJuiceboxCall<T>(
  : ,
  :  <T>
): <T> {
   end = juiceboxLatency.({ operation });

   ()
    .( {
      juiceboxRequests.({ operation, :  });
       result;
    })
    .( {
      juiceboxRequests.({ operation, :  });
       error;
    })
    .( {
      ();
    });
}

Step 3: Distributed Tracing

// lib/tracing.ts
import { trace, SpanStatusCode } from '@opentelemetry/api';

const tracer = trace.getTracer('juicebox-integration');

export async function withJuiceboxSpan<T>(
  name: string,
  fn: () => Promise<T>,
  attributes?: Record<string, string>
): Promise<T> {
  return tracer.startActiveSpan(name, async (span) => {
    try {
      if (attributes) {
        Object.entries(attributes).forEach(([key, value]) => {
          span.setAttribute(key, value);
        });
      }

      const result = await fn();

      span.setStatus({ code: SpanStatusCode.OK });
      return result;
    } catch (error) {
      span.setStatus({
        code: SpanStatusCode.ERROR,
        message: (error as Error).message
      });
      span.(error  );
       error;
    }  {
      span.();
    }
  });
}


  (): <> {
   (
    ,
     client..({ query }),
    { : query }
  );
}

Step 4: Health Checks

// routes/health.ts
import { Router } from 'express';

const router = Router();

interface HealthStatus {
  status: 'healthy' | 'degraded' | 'unhealthy';
  checks: Record<string, {
    status: 'pass' | 'fail';
    latency?: number;
    message?: string;
  }>;
}

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

router.get('/health/ready', async (req, res) => {
  const health: HealthStatus = {
    status: 'healthy',
    checks: {}
  };

  // Check Juicebox API
  try {
    const start = Date.now();
    await juiceboxClient.auth.me();
    health.checks.juicebox = {
      status: 'pass',
      latency: .() - start
    };
  }  (error) {
    health.. = {
      : ,
      : (error  ).
    };
    health. = ;
  }

  
   {
     start = .();
     db.;
    health.. = {
      : ,
      : .() - start
    };
  }  (error) {
    health.. = {
      : ,
      : (error  ).
    };
    health. = ;
  }

   statusCode = health. ===  ?  : ;
  res.(statusCode).(health);
});

  router;

Step 5: Alerting Rules

# prometheus/alerts.yaml
groups:
  - name: juicebox
    rules:
      - alert: JuiceboxHighErrorRate
        expr: |
          rate(juicebox_requests_total{status="error"}[5m])
          / rate(juicebox_requests_total[5m]) > 0.05
        for: 5m
        labels:
          severity: warning
        annotations:
          summary: "Juicebox error rate above 5%"

      - alert: JuiceboxHighLatency
        expr: |
          histogram_quantile(0.95, rate(juicebox_request_duration_seconds_bucket[5m])) > 5
        for: 10m
        labels:
          severity: warning
        annotations:
          summary: "Juicebox P95 latency above 5s"

      - alert: JuiceboxQuotaWarning
        expr: |
          juicebox_quota_usage_total > 0.8 * juicebox_quota_limit
        for: 1m
        labels:
          severity: warning
        annotations:
          summary: "Juicebox quota usage above 80%"

Grafana Dashboard

{
  "title": "Juicebox Integration",
  "panels": [
    {
      "title": "Request Rate",
      "type": "graph",
      "targets": [
        {
          "expr": "rate(juicebox_requests_total[5m])",
          "legendFormat": "{{operation}} - {{status}}"
        }
      ]
    },
    {
      "title": "Latency P95",
      "type": "graph",
      "targets": [
        {
          "expr": "histogram_quantile(0.95, rate(juicebox_request_duration_seconds_bucket[5m]))",
          "legendFormat": "{{operation}}"
        }
      ]
    
    
       
       
       
        
           
        
      
    
  

Output

• Structured logging
• Prometheus metrics
• Distributed tracing
• Health checks
• Alerting rules

Resources

• Monitoring Guide
• OpenTelemetry

Next Steps

After observability, see juicebox-incident-runbook for incident response.