Spring Boot Performance Tuning: 10 Best Practices for High Performance

 🚀 Introduction: Why Optimize Spring Boot Performance?

Spring Boot makes it easy to build applications, but without proper optimizations, your app might experience:
 ✅ Slow startup times
 ✅ High memory consumption
 ✅ Slow database queries
 ✅ Poor response times under high load

In this guide, we’ll explore 10 proven performance tuning tips to make your Spring Boot applications faster and more efficient.

1️⃣ Optimize Application Startup Time

Spring Boot applications can take time to start due to eager bean initialization.

✅ Enable Lazy Initialization

Lazy initialization delays the creation of beans until they are needed, improving startup time.

📌 Add to application.properties:

spring.main.lazy-initialization=true

2️⃣ Reduce Unnecessary Auto-Configurations

Spring Boot loads all auto-configurations by default. Disabling unnecessary ones speeds up startup and improves memory usage.

✅ Exclude Unused Auto-Configurations

📌 Disable unused configurations in application.properties:

spring.autoconfigure.exclude=org.springframework.boot.autoconfigure.jdbc.DataSourceAutoConfiguration

3️⃣ Optimize JVM Memory Settings

Tuning JVM settings can prevent memory leaks and improve performance.

✅ Set Optimal Heap Size

📌 Use JVM flags to optimize heap memory:

java -Xms512m -Xmx1024m -jar myapp.jar

📌 Enable G1 Garbage Collector:

java -XX:+UseG1GC -jar myapp.jar

📌 For ultra-low latency apps, use ZGC:

java -XX:+UseZGC -jar myapp.jar

4️⃣ Optimize Database Performance

✅ Use Connection Pooling

Database connections are expensive. Use HikariCP for efficient pooling.

📌 Configure HikariCP in application.properties:

spring.datasource.hikari.maximum-pool-size=20
spring.datasource.hikari.minimum-idle=5
spring.datasource.hikari.idle-timeout=30000
spring.datasource.hikari.max-lifetime=60000

✅ Use Indexing for Faster Queries

Ensure indexes are applied to frequently queried columns.

📌 Example: Create Index on MySQL Database Table

CREATE INDEX idx_product_name ON product (name);

5️⃣ Use Caching to Reduce Database Calls

Caching stores frequently accessed data in memory, reducing database calls and improving response times.

✅ Enable Caching in Spring Boot

📌 Add dependency in pom.xml:

<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-cache</artifactId>
</dependency>

📌 Enable caching in the main class:

@SpringBootApplication
@EnableCaching
public class MyApplication { }

📌 Use @Cacheable to cache results:

@Cacheable("products")
public List<Product> getAllProducts() {
    return productRepository.findAll();
}

6️⃣ Optimize REST API Performance

Spring Boot REST APIs should be optimized for speed and low latency.

✅ Enable GZIP Compression

📌 Add to application.properties:

server.compression.enabled=true
server.compression.mime-types=text/html,text/xml,text/plain,application/json

✅ This reduces response size, improving API performance.

7️⃣ Use Asynchronous Processing for Heavy Tasks

For heavy computations or long-running tasks, use @Async to execute them asynchronously.

📌 Enable Async Processing:

@EnableAsync
@SpringBootApplication
public class MyApplication { }

📌 Execute tasks asynchronously:

@Async
public CompletableFuture<String> processHeavyTask() {
    return CompletableFuture.supplyAsync(() -> "Task Completed");
}

✅ This prevents API calls from blocking the main thread.

8️⃣ Use Virtual Threads for Better Concurrency

Spring Boot 3 supports Virtual Threads (JEP 425) to improve multi-threading performance.

📌 Enable Virtual Threads for Task Execution:

@Bean
Executor taskExecutor() {
    return Executors.newVirtualThreadPerTaskExecutor();
}

✅ Virtual Threads improve scalability for high-load applications.

9️⃣ Optimize Logging for Faster Processing

Logging can slow down an application. Use asynchronous logging to improve performance.

✅ Use Async Logging with Logback

📌 Update logback.xml:

<configuration>
    <appender name="ASYNC" class="ch.qos.logback.classic.AsyncAppender">
        <appender-ref ref="FILE"/>
    </appender>
</configuration>

✅ This prevents logging from slowing down request processing.

🔟 Monitor Application Performance with Actuator

Spring Boot Actuator provides built-in metrics and health monitoring.

✅ Enable Actuator for Monitoring

📌 Add Actuator dependency:

<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-actuator</artifactId>
</dependency>

📌 Expose monitoring endpoints:

management.endpoints.web.exposure.include=health,info,metrics

✅ Check app health using /actuator/health.

🎯 Summary: 10 Performance Tuning Tips for Spring Boot

✅ 1️⃣ Enable Lazy Initialization — Speeds up startup time.
 ✅ 2️⃣ Disable Unused Auto-Configurations — Reduces memory usage.
 ✅ 3️⃣ Tune JVM Settings — Optimizes garbage collection.
 ✅ 4️⃣ Optimize Database Performance — Use indexing and connection pooling.
 ✅ 5️⃣ Use Caching — Reduces redundant database queries.
 ✅ 6️⃣ Enable GZIP Compression — Improves REST API speed.
 ✅ 7️⃣ Use Asynchronous Processing — Prevents blocking operations.
 ✅ 8️⃣ Use Virtual Threads — Improves concurrency.
 ✅ 9️⃣ Optimize Logging — Enables asynchronous logging.
 ✅ 🔟 Use Actuator — Monitors app performance.

🚀 Implement these optimizations to make your Spring Boot applications faster, more efficient, and production-ready!

My top Udemy course: Building Microservices with Spring Boot and Spring Cloud — This is my project-oriented and highest-rated course on Udemy.

📢 Stay Connected & Keep Learning! 🚀

If you find my content valuable, please support with a clap 👏 and share it with others! 🚀

🔗 Explore my Udemy courses: Java Guides Udemy Courses
📖 Read more tutorials on my blog: Java Guides
🎥 Watch free Java video tutorials on YouTube: Java Guides YouTube