Software Engineer Interview Prep Podcast

[JAVA] Spring Boot REST API Performance Optimization at Scale

Software Engineer Interview Prep Podcast

Show Notes

Here is a sneak peek at what the hosts will be covering to make these advanced concepts stick during your interview: The "Multi-Layer Cake" Analogy: The hosts will explain that optimizing a Spring Boot REST API isn't a single switch you flip; it's a layered strategy. They will walk through how to systematically tackle bottlenecks from the database all the way up to the JVM. The Silent Killer (The N+1 Problem): They will break down the N+1 query problem, explaining how a simple findAll() call can avalanche into hundreds of database queries. They'll provide the exact interview answers to fix it: using JOIN FETCH or @EntityGraph to grab everything in a single trip, or using Projections so you don't load a massive entity into memory when you only need three fields. The "Two-Tier Cache" Strategy: A deep dive into when to use an ultra-fast, in-process L1 cache like Caffeine versus a distributed L2 cache like Redis. They will discuss how combining them gives you sub-microsecond reads while maintaining consistency across all your microservice instances. The "Goldilocks" Connection Pool: Why the optimal HikariCP pool size is not "as many as possible," but rather a specific formula: (core_count * 2) + effective_spindle_count. Over-provisioning actually causes contention. Java 21 Virtual Threads (The Magic Switch): The podcast will discuss the massive performance leaps in Spring Boot 3.2+. They will explain how traditional Java threads are tied 1:1 to heavy OS threads, but Virtual Threads allow you to handle 10,000+ concurrent requests by letting the JVM swap them out when they are waiting on a database or HTTP call. The Golden Interview Rule: Finally, the hosts will reveal the ultimate senior engineer interview tip: Always emphasize that you profile and measure before optimizing. They will discuss how to talk about using Micrometer, Prometheus, and Grafana to find the actual bottlenecks rather than guessing. This deep dive is designed to give you the exact technical vocabulary and architectural vision needed to ace a senior or staff-level system design interview! Let me know if you would like me to generate flashcards or a quiz to drill these specific layers next.

More from Software Engineer Interview Prep Podcast

Oct 10, 2026

"Design the backend for Twitter." Reciting HTTP verbs won't get you through that whiteboard session. In this deep dive we build a complete, staff-level blueprint for REST API design: the reasoning behind every rule, the trade-offs interviewers probe, and the patterns that keep large systems evolving safely.

Oct 9, 2026

Your connection drops mid-checkout on a $1,000 ticket. Do you hit refresh and risk paying twice? The answer lives in the invisible architecture of REST APIs. In this deep dive we go from the basic grammar of the web to the patterns that keep global platforms fast, safe and reliable.

Oct 9, 2026

"Walk me through what happens from kubectl apply to the first request hitting your container." It sounds like a warm-up question, but how you answer it can decide whether you land a senior or staff role. In this deep dive we trace a pod from creation to production and unpack the failure modes interviewers expect you to anticipate.

Oct 3, 2026

Senior system design interviews don't test whether you know what a load balancer is. They test how you think under pressure: how you handle ambiguity, weigh brutal trade-offs and defend every box you draw. In this deep dive we unpack the framework used to evaluate senior engineers, architects and principal candidates.

Oct 3, 2026

A single misconfigured setting in Kafka doesn't just slow a page down. It can silently vaporize financial transactions. In this deep dive we walk through real production failure scenarios and the exact reasoning interviewers look for in staff-level system design interviews.

See all episodes →