Learn how Spring Boot 3 handles database deadlocks by exploring transaction isolation levels, optimistic and pessimistic locking, and practical code examples that show prevention, detection, and retry strategies to keep your applications reliable under high concurrency.
The article presents eight authentic production incidents—including JVM Full GC, memory leaks, idempotency flaws, cache avalanches, disk‑I/O thread blocking, MySQL deadlocks, DNS hijacking, and bandwidth exhaustion—detailing their causes, diagnostics, and practical remediation steps for engineers.
The author recounts a real‑world incident where a Spring @Transactional annotation caused database connection exhaustion, deadlocks, and a production outage, explains how long‑running transactions arise from holding a single connection during costly operations, and offers practical ways to avoid them by splitting methods or using programmatic transactions.
The article shares eight concrete production incidents—from JVM Full GC spikes and memory leaks to cache avalanches, deadlocks, DNS hijacking and bandwidth exhaustion—detailing their root causes, step‑by‑step diagnostics, code snippets, monitoring tricks and practical remediation measures for engineers.
The article shares seven authentic production incident cases—from JVM Full GC spikes and memory leaks to cache avalanches, disk I/O blocks, database deadlocks, DNS hijacking, and bandwidth exhaustion—detailing root causes, step‑by‑step troubleshooting methods, code snippets, and practical mitigation strategies for engineers.
This article examines typical Java backend performance problems such as database deadlocks, overly long transactions, thread‑pool misuse, and excessive logging, and provides concrete optimization strategies—including Redis distributed locks, short‑lived transactions, proper thread‑pool configuration, and disciplined log formatting—to dramatically improve throughput and stability.
