Hands On Distributed Log Implementation With Java & Spring Boot

What We’re Building Today

Today we implement a production-grade log enrichment service that transforms raw log events into intelligent, queryable records by adding contextual metadata:

• Distributed enrichment service processing 10,000+ logs/second with Spring Boot and Kafka Streams

• Multi-source metadata resolver pulling context from Redis cache, PostgreSQL, and external APIs

• Schema-aware enrichment that preserves compatibility with Day 20’s normalized formats

• Asynchronous enrichment pipeline with circuit breakers and fallback strategies

• Observable enrichment metrics tracking success rates, latency, and enrichment coverage