Spring Boot usually fails in production for boring reasons: thread pools run out, Kafka consumers share the wrong group, caches hide latency, report jobs trust bad data, or a database call becomes expensive only under traffic.
This hub collects Bytz Echo articles that are useful when a Spring Boot system behaves well in development but starts showing pressure in production. Use it as a reading path for debugging APIs, background jobs, messaging, caching, and operational design.
Start with production failure stories
- Before You Automate Reports, Make Sure You Can Trust the Data – reporting automation lessons before background jobs create wrong output faster.
- Why Spring Boot Kafka Consumers Generate Duplicate Reports – duplicate report jobs traced through Spring Boot Kafka behavior.
- Kafka Wasn?t Broken. We Reused the Same Consumer Group ID – a configuration mistake that looked like a Kafka incident.
- Spring Boot Singleton Scope Bug That Caused Request Data Overlap – why state inside singleton beans can leak between requests.
Read the performance investigations
- Async vs Sync in Spring Boot: Why Async Was Slower in Load Tests – async is not automatically faster when the bottleneck is elsewhere.
- Spring Boot Saturation Test: Why 300 Users Caused 42% Failures – what happens when defaults meet concurrent traffic.
- API Slow? Database Fine ? Real Performance Case Study – when the database is blamed too early.
- Microservices vs Monolith Performance: Latency Trade-offs We Measured – the cost of service boundaries in real latency.
Caching and resilience
- Redis Made This Spring Boot API 30x Faster in a Load Test – where caching helped and what changed in latency.
- Spring Boot Redis Benchmark: When Caching Made Latency Worse – the version of caching nobody wants to debug on a Friday.
- Spring Boot Caching – core caching ideas with performance context.
- Spring Boot Resilience4j TimeLimiter – time limits as a protection boundary, not decoration.
Suggested next articles
- Why Spring Boot Thread Pools Saturate Before CPU Looks Busy
- How We Debugged Slow Spring Boot Startup in Production
- Spring Boot Background Jobs: Retry, Idempotency, and Duplicate Work