Explain the architecture of a logging pipeline for large-scale microservices.
Architect a **distributed logging and monitoring system** like ELK or Datadog. Include: 1. Log ingestion pipeline (agents → collectors → brokers) 2. Storage format + compression strategy 3. Query indexing strategy 4. Alerting rules engine 5. Visualization dashboards 6. Cardinality management 7. Multi-tenant isolation model 8. Log retention + tiering strategy 9. On-call SLO/SLI alignment 10. Cost-optimization techniques for high-volume logs
Nilesh Raut
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