Spring Boot Performance Tuning Guide (Production Ready)
A Spring Boot app works fast locally…
but slows down under real traffic.
Performance tuning is about identifying bottlenecks and optimizing CPU, memory, database, and threads in Spring Boot applications.
This guide covers practical production optimizations.
📌 Typical Performance Problems
High response time
High CPU usage
Memory spikes
Slow database queries
Thread starvation
🖼️ Performance Bottlenecks Overview
1️⃣ JVM Memory Tuning
Default JVM settings are not optimized for production.
Recommended JVM options
-Xms2g
-Xmx2g
-XX:+UseG1GC
-XX:MaxGCPauseMillis=200
Why
Prevents frequent garbage collection and memory resizing.
🖼️ GC Behavior
2️⃣ Thread Pool Optimization
Tomcat default threads = 200 (not always correct)
Configure
server.tomcat.threads.max=100
server.tomcat.accept-count=50
Too many threads → context switching overhead.
3️⃣ Database Performance
Most performance issues come from database.
Enable connection pooling
Spring Boot uses HikariCP (good default)
Tune it:
spring.datasource.hikari.maximum-pool-size=20
spring.datasource.hikari.minimum-idle=5
spring.datasource.hikari.idle-timeout=30000
🖼️ DB Connection Pool
4️⃣ Cache Frequently Used Data
Use caching to reduce DB load.
@Cacheable("products")
public Product getProduct(Long id) {
return repository.findById(id);
}
Enable:
@EnableCaching
5️⃣ Async Processing
Avoid blocking APIs.
@Async
public void sendEmail(){
mailService.send();
}
🖼️ Async vs Blocking
6️⃣ Optimize Logging
Logging can slow production.
Set production level:
logging.level.root=INFO
Avoid DEBUG in production.
7️⃣ Reduce JSON Serialization Cost
Use DTOs instead of entities.
Bad:
Returning full entity graph
Good:
Return minimal response object
8️⃣ Enable HTTP Compression
server.compression.enabled=true
server.compression.mime-types=application/json
Reduces network latency.
Monitoring Tools
Actuator
/metricsPrometheus
Grafana
JProfiler
Best Practices Checklist
✔ Tune JVM heap
✔ Optimize DB queries
✔ Limit threads
✔ Use caching
✔ Async processing
✔ Monitor continuously
📚 Recommended Reading
🎯 Conclusion
Performance tuning is not one setting.
It’s a combination of:
JVM + DB + Threads + Network + Code
Small optimizations together create big performance gains.
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