Spring Boot Interview Question – Improve API Latency

🚀 Spring Boot Interview Question: Improve Existing API Performance In this video, we tackle a real-world Spring Boot interview scenario that goes far beyond CRUD APIs. 👉 Your API serves large JSON responses (100 KB–2 MB). 👉 A recent change has caused P95/P99 latency to spike. 👉 Application CPU usage is increasing. 👉 Redis cache reads are extremely frequent. As a backend engineer, how would you investigate and fix the problem? We'll walk through: ✅ Identifying the actual bottleneck ✅ Serialization and compression trade-offs ✅ Redis caching considerations ✅ CPU vs network optimization decisions ✅ Measuring performance correctly before optimizing ✅ How experienced engineers approach latency issues in production This is the type of practical system design and performance question commonly asked in senior backend and Spring Boot interviews. Understanding the reasoning behind the solution is more important than memorizing a list of optimizations. 📖 Full article: https://javabulletin.substack.com/p/s... 📬 Join 7,500+ Java & Spring Boot developers receiving practical backend engineering insights every week: https://javabulletin.substack.com/sub... Full list of interview questions: https://javabulletin.substack.com/p/j... #Java #SpringBoot #BackendEngineering #SoftwareEngineering #SystemDesign #JavaInterview #SpringBootInterview #PerformanceEngineering #Redis #Microservices #TechInterview #JavaDeveloper #BackendDeveloper #Scalability #APIDesign #distributedsystems