backend logging monitoring analytics elasticsearch

Log Aggregation API

Build a centralized logging service that collects, stores, and queries application logs from multiple sources

โฑ๏ธ Time Breakdown

๐Ÿ“‹
Planning
~1 hours
๐Ÿ’ป
Coding
~2 hours
๐Ÿงช
Testing
~1 hours

๐Ÿ“Š Difficulty

HARD

๐ŸŽ“ Learning Outcomes

  • โ€ข Working with REST APIs
  • โ€ข Managing application state
  • โ€ข Creating responsive layouts

Log Aggregation API

Create a log aggregation system that receives logs from multiple applications, stores them efficiently, and provides search and analytics capabilities.

Project Checklist

  • Create API endpoint to receive log entries
  • Store logs in database with indexing
  • Implement log search and filtering
  • Add log level filtering (info, warn, error)
  • Create log retention policies
  • Add basic log aggregation and statistics

Bonus Project Checklist Items

  • Integrate with Elasticsearch for HARD search
  • Implement log parsing and structured logging
  • Add real-time log streaming
  • Create log visualization dashboards
  • Implement log alerting for error thresholds
  • Add log correlation across services

Inspiration (Any companies/libraries similar)

  • ELK Stack (Elasticsearch, Logstash, Kibana)
  • Datadog
  • Splunk

Hint/Code snippet to start

app.post('/logs', async (req, res) => {
  const { level, message, service, metadata } = req.body;
  const logEntry = {
    timestamp: new Date(),
    level,
    message,
    service,
    metadata
  };
  await db.logs.insert(logEntry);
  res.status(201).json({ success: true });
});

app.get('/logs', async (req, res) => {
  const { level, service, startDate, endDate } = req.query;
  const logs = await db.logs.find({
    level,
    service,
    timestamp: { $gte: startDate, $lte: endDate }
  });
  res.json(logs);
});
โ˜ฐ

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