Spring Boot Performance Tuning Tricks Every Developer Should Know

Spring Boot has emerged as one of the most popular frameworks for building Java applications, thanks to its simplicity and productivity. However, as your application grows in complexity and user traffic increases, it becomes crucial to ensure optimal performance. In this blog post, we will explore some performance tuning tricks for Spring Boot that every developer should know. We will cover various aspects such as database optimizations, caching, threading, and more, along with practical examples to help you implement these techniques effectively.

  1. Enable Spring Boot Actuator:
    Spring Boot Actuator provides valuable insights into the internals of your application, enabling you to monitor its health, metrics, and more. By including the Actuator dependency and configuring the required endpoints, you can gather crucial performance metrics and diagnose bottlenecks.

To enable Actuator, add the following dependency to your pom.xml file:


Configure the required endpoints in your application.properties:

  1. Optimize Database Access:
    Efficient database access is vital for application performance. Utilize the following techniques to improve database operations:
  • Proper indexing: Analyze your queries and ensure that relevant columns are indexed to speed up read operations.
  • Batch processing: When dealing with multiple database operations, consider using batch processing techniques like JDBC batch updates or JPA’s saveAll() method to reduce round trips to the database.
  • Connection pooling: Configure connection pooling to reuse database connections, improving performance and reducing connection overhead.

3. Leverage Caching:
Caching is a powerful technique to reduce response times and database load. Spring Boot offers seamless integration with popular caching libraries like Ehcache, Hazelcast, and Redis. Identify areas of your application that can benefit from caching, such as frequently accessed data or expensive computations.

To enable caching with Ehcache, add the following dependency to your pom.xml file:


Annotate methods or classes with @Cacheable to cache the results:

public Book getBookById(Long id) {
    // ...
    return book;
  1. Fine-tune Threading:
    Efficiently managing threads can significantly impact the performance of your Spring Boot application. Consider the following tips:
  • Thread pool configuration: Adjust the thread pool size according to your application’s requirements. Oversubscribing or undersubscribing threads can lead to performance degradation.
  • Asynchronous processing: Utilize Spring’s @Async annotation to offload time-consuming tasks to separate threads, preventing them from blocking the main application thread.

To enable asynchronous processing, add the @EnableAsync annotation to your main application class:

public class MyApp {
    // ...

Annotate methods with @Async to make them execute asynchronously:

public void performTask() {
    // Task logic
  1. Optimize Resource Handling:
    Properly managing resources like file I/O, network connections, and external service invocations is crucial for performance. Ensure the following:
  • Close resources: Always close resources explicitly after using them to avoid resource leaks and unnecessary overhead.
  • Use streaming APIs: When dealing with large datasets or file processing, utilize streaming APIs like java.util.stream to avoid loading everything into memory at once.

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