Bytz Echo Blog
Engineering notes for backend developers
Practical Java, Spring Boot, Kafka, PostgreSQL, performance, and production debugging articles written for engineers who ship real systems.
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Before You Automate Reports, Make Sure You Can Trust the Data
Learn how to build trusted report automation with data readiness, reconciliation, audit trails, and verification.
Explore core topics
Spring Boot
APIs, jobs, WebClient, architecture, and production-ready backend patterns.
Performance Engineering
Latency, load tests, Redis, database bottlenecks, and real benchmark notes.
Engineering Insights
Architecture trade-offs, delivery lessons, and technical decision-making.
Latest articles

Before You Automate Reports, Make Sure You Can Trust the Data
Learn how to build trusted report automation with data readiness, reconciliation, audit trails, and verification.

Kafka Wasn’t Broken. We Reused the Same Consumer Group ID
Learn how a shared Kafka consumer group ID caused rebalancing issues across environments and how to prevent it.

Async Was Slower Than Sync in This Spring Boot Load Test
A Spring Boot load test where async handled requests slower than sync. Compare latency, throughput, and thread behavior.

Redis Cache Expiration Causes Hidden Latency Spikes
See how Redis changed Spring Boot API latency, throughput, and P95 response time in a practical cache benchmark.

Redis Made This Spring Boot API 30x Faster in a Load Test
Tested Redis caching in a Spring Boot API and achieved up to 30x faster response times. See benchmarks, P95 impact, and key insights.

API Slow? Database Fine — Real Performance Case Study
Spring Boot API latency investigation showing slow responses despite fast PostgreSQL queries, with real metrics and optimization insights.

Microservices vs Monolith: Performance Trade-offs
Exploring performance trade-offs between microservices and monolith architectures, including network latency, and complexity.

Spring Boot Saturation Test at 300 Users
Load testing Spring Boot defaults at 300 concurrent users reveals connection pool saturation and 42% request failures.
