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Logging for Debugging — Using Logs Effectively for Root Cause Analysis

DodaTech Updated 2026-06-28 1 min read

In this tutorial, you'll learn about Log For Debugging. We cover key concepts, practical examples, and best practices to help you understand and apply this topic effectively.

Effective debugging with logs requires systematic analysis techniques and tools to quickly identify root causes.

// Log-based root cause analysis tool
class RootCauseAnalyzer {
  constructor(searchClient) {
    this.searchClient = searchClient;
  }

  async analyzeIncident(correlationId, options = {}) {
    const {
      timeRange = { before: 600000, after: 300000 }, // 10 min before, 5 min after
      includeRelated = true
    } = options;

    // Get all logs in the time range
    const logs = await this.getLogsByCorrelationId(correlationId, timeRange);

    if (logs.length === 0) {
      return { error: 'No logs found for correlation ID', correlationId };
    }

    // Build timeline
    const timeline = this.buildTimeline(logs);

    // Identify errors
    const errors = logs.filter(l => l.level === 'ERROR' || l.level === 'FATAL');

    // Find first error
    const firstError = errors.sort((a, b) =>
      new Date(a.timestamp) - new Date(b.timestamp)
    )[0];

    // Trace service boundaries
    const serviceChain = this.traceServiceChain(logs);

    // Identify slow operations
    const slowOps = logs.filter(l => l.duration && l.duration > 1000);

    return {
      correlationId,
      duration: this.calculateTotalDuration(logs),
      totalLogs: logs.length,
      errorCount: errors.length,
      firstError,
      serviceChain,
      slowOperations: slowOps,
      timeline,
      relatedCorrelationIds: this.findRelated(includeRelated ? logs : []),
      recommendation: this.generateRecommendation(errors, slowOps)
    };
  }

  buildTimeline(logs) {
    return logs
      .sort((a, b) => new Date(a.timestamp) - new Date(b.timestamp))
      .map(l => ({
        time: l.timestamp,
        level: l.level,
        service: l.service?.name,
        message: l.message?.slice(0, 200),
        duration: l.duration
      }));
  }

  traceServiceChain(logs) {
    const services = new Set();
    const chain = [];
    for (const log of logs.sort((a, b) => new Date(a.timestamp) - new Date(b.timestamp))) {
      const service = log.service?.name;
      if (service && !services.has(service)) {
        services.add(service);
        chain.push({ service, firstSeen: log.timestamp });
      }
    }
    return chain;
  }

  generateRecommendation(errors, slowOps) {
    // Simple recommendation engine
    if (errors.some(e => e.error?.code?.includes('TIMEOUT'))) {
      return 'Investigate downstream service timeouts. Check connection pools and network latency.';
    }
    if (slowOps.length > 3) {
      return 'Performance regression detected. Review recent deployments and database query plans.';
    }
    return 'No obvious pattern detected. Manual investigation required.';
  }
}

Systematic log analysis reduces mean time to resolution (MTTR) for production incidents.

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