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CO✅ Answer:
In a microservices architecture, logs are distributed across multiple services, making it difficult to trace issues. To solve this, we implement centralized logging.
1. Use a Logging Framework:
Configure each microservice with a structured logging framework (e.g., Logback, SLF4J, Winston).
2. Send Logs to a Central System:
Push logs from all services to a centralized storage/analysis platform using tools like:
ELK Stack (Elasticsearch, Logstash, Kibana)
Graylog or Splunk
3. Correlation ID / Trace ID:
Add a unique ID to each request and propagate it across all services. This allows you to trace a request flow end-to-end across microservices.
4. Structured Logging:
Use JSON format for logs to make them machine-readable and easily searchable.
5. Monitoring & Alerts:
Integrate logging with alerting tools like Prometheus + Grafana or Elastic Watcher to get notified on anomalies.
👉 This ensures observability, faster debugging, better monitoring, and root-cause analysis in microservices.
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