Spring Boot 2026: Why Measuring Only Startup Time Is a Trap
The article discusses the limitations of measuring only startup time in Spring Boot applications. It emphasizes that focusing solely on this metric can lead to overlooking significant production costs. A comprehensive lab experiment is presented to illustrate the importance of considering various performance factors beyond just startup time.
- ▪Measuring only startup time is insufficient for making informed architectural decisions in Spring Boot applications.
- ▪The lab experiment compares different modes of Spring Boot performance, including classic JVM and GraalVM Native Image.
- ▪The findings highlight that the trade-off in native mode shifts costs from runtime to build time, which is not captured by startup metrics.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 885942) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Juan Torchia Posted on May 17 • Originally published at juanchi.dev Spring Boot 2026: Why Measuring Only Startup Time Is a Trap #english #performance #arquitectura #springboot There's a question that surfaces every time someone mentions GraalVM or Spring AOT in a technical meeting: how long does it take to start? It's the first metric that hits the screen, the number that closes the debate in five minutes.
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