Boosting Application Performance With MicroStream and Redis Integration

In today's fast-paced digital world, application performance has become critical in delivering a seamless user experience. Users expect applications to be lightning-fast and responsive, no matter the complexity of the task at hand. To meet these expectations, developers constantly look for ways to improve their application's performance. One solution that has gained popularity in recent years is the integration of MicroStream and Redis.

By combining these two cutting-edge technologies, developers can create ultrafast applications that deliver better results. In this post, we will explore the benefits of this integration and how developers can get started with this powerful combination.

MicroStream is a high-performance, in-memory persistence engine designed to improve application performance. MicroStream can store data in memory without needing a mapper or conversion process. It means that developers can work with objects directly without worrying about the mapping process, saving around 90% of the computer power that would have been consumed in the mapping process.

One of the critical advantages of MicroStream is its speed. By storing data in memory, MicroStream allows faster read and write operations, resulting in improved application performance. MicroStream's data structure is optimized for in-memory storage, enhancing its speed and efficiency. It makes it an ideal solution for applications that require fast response times and high throughput.

Another advantage of MicroStream is its simplicity. With MicroStream, developers can work with objects directly without dealing with the complexities of SQL databases or other traditional persistence solutions. It makes development faster and more efficient, allowing developers to focus on creating great applications instead of struggling with complex data management.

MicroStream's speed, simplicity, and efficiency make it an ideal solution for modern application development. By eliminating the need for a mapper or conversion process, MicroStream saves valuable computer power and resources, resulting in significant cost savings for developers. And with its optimized data structure and in-memory storage capabilities, MicroStream delivers fast and reliable performance, making it a powerful tool for building high-performance applications.

We have enough of the theory: let's move to the next session, where we can finally see both databases working together to impact my application.

Database Integratrion

In an upcoming article, we will explore the integration of MicroStream and Redis by creating a simple project using Jakarta EE. With the new Jakarta persistence specifications for data and NoSQL, it is now possible to combine the strengths of MicroStream and Redis in a single project.

Our project will demonstrate how to use MicroStream as the persistence engine for our data and Redis as a cache for frequently accessed data. Combining these two technologies can create an ultrafast and scalable application that delivers better results.

We will walk through setting up our project, configuring MicroStream and Redis, and integrating them with Jakarta EE. We will also provide tips and best practices for working with these technologies and demonstrate how they can be used to create powerful and efficient applications.

Overall, this project will serve as a practical example of using MicroStream and Redis together and combining them with Jakarta EE to create high-performance applications. Whether you are a seasoned developer or just starting, this project will provide valuable insights and knowledge for working with these cutting-edge technologies.

The project is a Maven project where the first step is to put the dependencies besides the CDI and MicroStream:

<code>

<dependency>

    <groupId>expert.os.integration</groupId>

    <artifactId>microstream-jakarta-data</artifactId>

    <version>${microstream.data.version}</version>

</dependency>

<dependency>

    <groupId>one.microstream</groupId>

    <artifactId>microstream-afs-redis</artifactId>

    <version>${microstream.version}</version>

</dependency>

</code>

The next step is creating both entity and repository; in our scenario, we'll create a Book entity with Library as a repository collection.

@Entity

public class Book {

    @Id

    private String isbn;

    @Column("title")

    private String title;

    @Column("year")

    private int year;

}



@Repository

public interface Library extends CrudRepository<Book, String> {

    List<Book> findByTitle(String title);

}

The final step before running is to create the Redis configuration where we'll overwrite the default StorageManager to use the Redis integration, highlighting MicroStream can integrate with several databases such as MongoDB, Hazelcast, SQL, etc.

@Alternative

@Priority(Interceptor.Priority.APPLICATION)

@ApplicationScoped

class RedisSupplier implements Supplier<StorageManager> {



    private static final String REDIS_PARAMS = "microstream.redis";



    @Override

    @Produces

    @ApplicationScoped

    public StorageManager get() {

        Config config = ConfigProvider.getConfig();

        String redis = config.getValue(REDIS_PARAMS, String.class);

        BlobStoreFileSystem fileSystem = BlobStoreFileSystem.New(

                RedisConnector.Caching(redis)

        );

        return EmbeddedStorage.start(fileSystem.ensureDirectoryPath("microstream_storage"));

    }



    public void close(@Disposes StorageManager manager) {

        manager.close();

    }

}

Done, we're ready to go! For this sample, we'll use a simple Java SE; however, you can do it with MicroProfile and Jakarta EE with microservices.

try (SeContainer container = SeContainerInitializer.newInstance().initialize()) {

    Book book = new Book("123", "Effective Java", 2002);

    Book book2 = new Book("1234", "Effective Java", 2019);

    Book book3 = new Book("1235", "Effective Java", 2022);

    Library library = container.select(Library.class).get();

    library.saveAll(List.of(book, book2, book3));

    List<Book> books = library.findByTitle(book.getTitle());

    System.out.println("The books: " + books);

    System.out.println("The size: " + books.size());

}

Conclusion

In conclusion, MicroStream integration with multiple databases is a promising approach to designing high-performance data management systems. This project explores various integration techniques to connect microstream with databases such as MySQL, MongoDB, Oracle, and PostgreSQL. The system will be designed and implemented using a combination of programming languages such as Java, Python, and JavaScript. The project will also provide documentation, training materials, and benchmark tests to ensure the system meets the specified requirements and delivers user value.

By leveraging the power of MicroStream technology and integrating it with different databases, organizations can build robust, scalable, and efficient data management systems that can handle large amounts of data and complex data structures. This approach can give organizations a competitive edge by enabling them to process data faster, make better-informed decisions, and enhance operational efficiency.

Overall, MicroStream integration with multiple databases is a promising approach that can benefit organizations in various industries. With the right design, implementation, and testing, organizations can leverage this approach to build data management systems that meet their unique business needs and drive success.

Reference:

• Source code