Best Practices for microservices development : Performance centric view

archie9211 | Sep 23, 2023 min read

How to build performance-efficient Spring Boot applications

One of the most important things to consider when building Spring Boot applications is performance. In this blog post, I will share some tips on how to build performance-efficient Spring Boot applications.

Choose the right Spring Boot starter dependencies

Spring Boot starters are pre-configured dependency bundles that provide all of the dependencies you need to build a specific type of application. When choosing Spring Boot starters, be careful to only choose the ones that you need. The more dependencies you have, the larger your application will be and the slower it will start up.

“The secret to building performance-efficient Spring Boot applications is to use the right tools for the job. Choose the right Spring Boot starter dependencies and avoid using unnecessary dependencies.”

Use caching

Caching is a technique that can be used to improve the performance of your application by storing frequently accessed data in memory. Spring Boot provides a number of built-in caching solutions, such as EhCache and Caffeine. You can also use third-party caching solutions, such as Redis or Memcached.

“Caching is like a superhero for performance-efficient Spring Boot applications. It can save the day by storing frequently accessed data in memory and reducing the number of database queries.”

Minimize database queries

Database queries are one of the most expensive operations that your application can perform. Therefore, it is important to minimize the number of database queries that you make. You can do this by using efficient data retrieval strategies, such as lazy loading and batching.

“Every database query is like a thief stealing your application’s performance. Minimize the number of database queries by using efficient data retrieval strategies.”

Use asynchronous processing

Asynchronous processing allows you to run multiple tasks at the same time. This can be useful for improving the performance of your application by offloading long-running or expensive tasks to a separate thread pool. Spring Boot provides a number of built-in asynchronous processing features, such as the @Async annotation and the ThreadPoolTaskExecutor class.

“Asynchronous processing is like a superpower for performance-efficient Spring Boot applications. It allows you to run multiple tasks at the same time and improve the responsiveness of your application.”

Optimize server resources

If you are hosting your Spring Boot application in a production environment, it is important to optimize the server resources that you are using. This may involve configuring the JVM heap size, the number of threads, and the web server configuration.

“Optimizing server resources is like tuning a race car for performance. By carefully configuring the JVM heap size, the number of threads, and the web server configuration, you can squeeze out every last bit of performance from your Spring Boot application.”

Implement logging best practices

Logging is an important part of any application, but it is important to implement logging best practices to avoid performance problems. For example, you should avoid logging debug statements in production and you should use a buffered logger to avoid flooding the console.

“Logging is like a double-edged sword. It can be used to diagnose problems and improve the performance of your application, but it can also be used to slow down your application. Implement logging best practices to avoid performance problems.”

Following these tips will help you to build performance-efficient Spring Boot applications that can handle even the heaviest loads.

Following code snippet demonstrates the following best practices:

  • Using Spring Boot starter dependencies to avoid adding unnecessary dependencies.
  • Using caching to store frequently accessed data in memory and reduce the number of database queries.
  • Using asynchronous processing to offload long-running or expensive tasks to a separate thread pool.
  • Optimizing server resources by configuring the maximum number of threads.
@SpringBootApplication
public class Application {

    public static void main(String[] args) {
        SpringApplication.run(Application.class, args);
    }

    @Bean
    public CacheManager cacheManager() {
        return new CaffeineCacheManager();
    }

    @Async
    public void doAsyncProcessing() {
        // Perform some long-running or expensive task here.
    }

    @ConfigurationProperties(prefix = "server")
    public static class ServerProperties {
        private int maxThreads = 100;

        public int getMaxThreads() {
            return maxThreads;
        }

        public void setMaxThreads(int maxThreads) {
            this.maxThreads = maxThreads;
        }
    }
}

This is just a simple example, and there are many other things you can do to improve the performance of your Spring Boot applications. But following these best practices will give you a good start.

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