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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