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Built a distributed log system using Node.js, RabbitMQ, and Elasticsearch handling 100K+ logs/day Improved processing speed 3x with async queues & bulk indexing. Ensured 99.9% reliability using DLQ-based fault tolerance.
Production-style log aggregation and monitoring system — Kafka-powered ingestion pipeline, TimescaleDB log storage, Prometheus metrics, Grafana dashboards with alerting, custom alert rule engine, and a client SDK used by 4 other portfolio services.