mcpbeat

Cloudflare Workers Observability

secondsky/cloudflare-workers-observability

Cloudflare Workers observability with logging, Analytics Engine, Tail Workers, metrics, and alerting. Use for monitoring, debugging, tracing, or encountering log parsing, metric aggregation, alert configuration errors.

This is a copy. The original lives at comeonoliver/cloudflare-workers-observability.

24k tokens
context cost
the whole folder, loaded on every use
11
files
ships runnable scripts
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copies elsewhere
how many repositories repackaged it
202
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/secondsky/claude-skills --skill cloudflare-workers-observability

The instruction itself

13 sections, as written by the author

Cloudflare Workers Observability

Production-grade observability for Cloudflare Workers: logging, metrics, tracing, and alerting.

Quick Start

// Structured logging with context
export default {
  async fetch(request: Request, env: Env, ctx: ExecutionContext): Promise<Response> {
    const requestId = crypto.randomUUID();
    const logger = createLogger(requestId, env);

    try {
      logger.info('Request received', { method: request.method, url: request.url });

      const result = await handleRequest(request, env);

      logger.info('Request completed', { status: result.status });
      return result;
    } catch (error) {
      logger.error('Request failed', { error: error.message, stack: error.stack });
      throw error;
    }
  }
};

// Simple logger factory
function createLogger(requestId: string, env: Env) {
  return {
    info: (msg: string, data?: object) => console.log(JSON.stringify({ level: 'info', requestId, msg, ...data, timestamp: Date.now() })),
    error: (msg: string, data?: object) => console.error(JSON.stringify({ level: 'error', requestId, msg, ...data, timestamp: Date.now() })),
    warn: (msg: string, data?: object) => console.warn(JSON.stringify({ level: 'warn', requestId, msg, ...data, timestamp: Date.now() })),
  };
}

Critical Rules

  • Always use structured JSON logging - Plain text logs are hard to parse and aggregate
  • Include request context - Request ID, method, path in every log entry
  • Never log sensitive data - Redact tokens, passwords, PII from logs
  • Use appropriate log levels - ERROR for failures, WARN for recoverable issues, INFO for operations
  • Sample high-volume logs - Use 1-10% sampling for request logs in production

Observability Components

| Component | Purpose | When to Use |

|-----------|---------|-------------|

| console.log | Basic logging | Development, debugging |

| Tail Workers | Real-time log streaming | Production log aggregation |

| Analytics Engine | Custom metrics/analytics | Business metrics, performance tracking |

| Logpush | Log export to external services | Long-term storage, compliance |

| Workers Trace Events | Distributed tracing | Request flow debugging |

Top 8 Errors Prevented

| Error | Symptom | Prevention |

|-------|---------|------------|

| Logs not appearing | No output in dashboard | Enable "Standard" logging in wrangler.jsonc |

| Log truncation | Messages cut off at 128KB | Chunk large payloads, use sampling |

| Tail Worker not receiving | No events processed | Check binding name matches wrangler.jsonc |

| Analytics Engine write fails | Data not recorded | Verify AE binding, check blobs format |

| PII in logs | Security/compliance violation | Implement redaction middleware |

| Missing request context | Can't correlate logs | Add requestId to all log entries |

| Log volume explosion | High costs, noise | Implement sampling for high-frequency events |

| Alerting gaps | Incidents not detected | Configure monitors for error rate thresholds |

Logging Configuration

wrangler.jsonc:

{
  "name": "my-worker",
  "observability": {
    "enabled": true,
    "head_sampling_rate": 1 // 0-1, 1 = 100% of requests
  },
  "tail_consumers": [
    {
      "service": "log-aggregator", // Tail Worker name
      "environment": "production"
    }
  ],
  "analytics_engine_datasets": [
    {
      "binding": "ANALYTICS",
      "dataset": "my_worker_metrics"
    }
  ]
}

Structured Logging Pattern

interface LogEntry {
  level: 'debug' | 'info' | 'warn' | 'error';
  message: string;
  requestId: string;
  timestamp: number;
  // Contextual data
  method?: string;
  path?: string;
  status?: number;
  duration?: number;
  // Error details
  error?: {
    name: string;
    message: string;
    stack?: string;
  };
  // Custom fields
  [key: string]: unknown;
}

class Logger {
  constructor(private requestId: string, private baseContext: object = {}) {}

  private log(level: LogEntry['level'], message: string, data?: object) {
    const entry: LogEntry = {
      level,
      message,
      requestId: this.requestId,
      timestamp: Date.now(),
      ...this.baseContext,
      ...data,
    };

    // Redact sensitive fields
    const sanitized = this.redact(entry);

    const output = JSON.stringify(sanitized);
    level === 'error' ? console.error(output) : console.log(output);
  }

  private redact(entry: LogEntry): LogEntry {
    const sensitiveKeys = ['password', 'token', 'secret', 'authorization', 'cookie'];
    const redacted = { ...entry };

    for (const key of Object.keys(redacted)) {
      if (sensitiveKeys.some(s => key.toLowerCase().includes(s))) {
        redacted[key] = '[REDACTED]';
      }
    }
    return redacted;
  }

  info(message: string, data?: object) { this.log('info', message, data); }
  warn(message: string, data?: object) { this.log('warn', message, data); }
  error(message: string, data?: object) { this.log('error', message, data); }
  debug(message: string, data?: object) { this.log('debug', message, data); }
}

Analytics Engine Usage

interface Env {
  ANALYTICS: AnalyticsEngineDataset;
}

export default {
  async fetch(request: Request, env: Env, ctx: ExecutionContext): Promise<Response> {
    const start = Date.now();
    const url = new URL(request.url);

    try {
      const response = await handleRequest(request, env);

      // Write success metric
      env.ANALYTICS.writeDataPoint({
        blobs: [request.method, url.pathname, String(response.status)],
        doubles: [Date.now() - start], // Response time in ms
        indexes: [url.pathname.split('/')[1] || 'root'], // Index for fast queries
      });

      return response;
    } catch (error) {
      // Write error metric
      env.ANALYTICS.writeDataPoint({
        blobs: [request.method, url.pathname, 'error', error.message],
        doubles: [Date.now() - start],
        indexes: ['error'],
      });
      throw error;
    }
  }
};

Tail Worker Pattern

// tail-worker.ts - Receives logs from other workers
interface TailEvent {
  scriptName: string;
  event: {
    request?: { method: string; url: string };
    response?: { status: number };
  };
  logs: Array<{
    level: string;
    message: unknown[];
    timestamp: number;
  }>;
  exceptions: Array<{
    name: string;
    message: string;
    timestamp: number;
  }>;
  outcome: 'ok' | 'exception' | 'exceededCpu' | 'exceededMemory' | 'canceled';
  eventTimestamp: number;
}

export default {
  async tail(events: TailEvent[], env: Env): Promise<void> {
    for (const event of events) {
      // Filter and forward logs
      const errorLogs = event.logs.filter(l => l.level === 'error');
      const exceptions = event.exceptions;

      if (errorLogs.length > 0 || exceptions.length > 0) {
        // Send to external logging service
        await fetch(env.LOGGING_ENDPOINT, {
          method: 'POST',
          headers: { 'Content-Type': 'application/json' },
          body: JSON.stringify({
            scriptName: event.scriptName,
            timestamp: event.eventTimestamp,
            errors: errorLogs,
            exceptions,
            outcome: event.outcome,
          }),
        });
      }
    }
  }
};

When to Load References

Load specific references based on the task:

  • Setting up logging? → Load references/logging.md for structured logging patterns, log levels, redaction
  • Building custom metrics? → Load references/analytics-engine.md for Analytics Engine SQL queries, data modeling
  • Implementing log aggregation? → Load references/tail-workers.md for Tail Worker patterns, external service integration
  • Creating dashboards/tracking? → Load references/custom-metrics.md for business metrics, performance tracking
  • Setting up alerts? → Load references/alerting.md for error rate monitoring, PagerDuty/Slack integration

Templates

| Template | Purpose | Use When |

|----------|---------|----------|

| templates/logging-setup.ts | Production logging class | Setting up new worker with logging |

| templates/analytics-worker.ts | Analytics Engine integration | Adding custom metrics |

| templates/tail-worker.ts | Complete Tail Worker | Building log aggregation pipeline |

Scripts

| Script | Purpose | Command |

|--------|---------|---------|

| scripts/setup-logging.sh | Configure logging settings | ./setup-logging.sh |

| scripts/analyze-logs.sh | Query and analyze logs | ./analyze-logs.sh --errors --last 1h |

Resources

  • Workers Observability: https://developers.cloudflare.com/workers/observability/
  • Analytics Engine: https://developers.cloudflare.com/analytics/analytics-engine/
  • Tail Workers: https://developers.cloudflare.com/workers/observability/tail-workers/
  • Logpush: https://developers.cloudflare.com/logs/get-started/

How to use it

Copy the folder

Take secondsky/cloudflare-workers-observability from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.