SMEs, Steer Clear of Microservices!

Sliced Onion Architecture

Hi,

A week ago, Oliver Drotbohm published an expanded idea of the Onion Architecture: The Sliced Onion Architecture .

Most software developers are familiar with Hexagonal Architecture and its extension, the Onion Architecture . The idea (simplified): One decouples their business code from infrastructure code using adapters.

This makes it less likely to create the “Big Ball of Mud” .

What do I see in practice?

Most developers have understood that it’s a good idea not to mix business code with infrastructure code.

Marcus Held

Avoid these 5 Common Performance Pitfalls in Spring Data JPA: Practical Solutions and Tips

In the world of JVM backend development, Spring Data JPA is an indispensable tool. It provides a convenient and powerful way to manage and manipulate data. However, like any powerful tool, there are pitfalls that can affect performance. In this article, we will explore five common performance pitfalls in Spring Data JPA and present solutions to avoid them.

1. Index Definition with Spring Data JPA

One commonly overlooked aspect when working with Spring Data JPA is the proper definition of indexes. A well-defined index can significantly speed up data access, while a missing or incorrectly defined index can lead to performance issues. In this article , you will learn how to define an index with Spring Data JPA and the considerations you should keep in mind.

Marcus Held

The Second Ideal: Focus, Flow, and Joy

Hi,

When was the last time you lost track of time? Just keep going. Without it being hard. With full concentration. You shut out everything around you. You forget to eat. You delay going to the toilet.

For me, it was the last time I was designing backendhance.com .

I was totally absorbed. And it was so satisfying. I build my website with Hugo. And it’s super fast.

Should the header be a bit larger? font-size adjusted. I click on my browser to view the change and BAM it’s compiled.

Marcus Held

Are You in a New Project?

Hi,

You are new to a project. Maybe you have just changed jobs. Or an opportunity has arisen internally - whether you wanted it or not.

Your first day. You really don’t know anything about the project. So almost nothing.

You know what it’s about. You may have even tried the product yourself.

But you don’t know what the architecture looks like. You don’t know how many services the product operates. What they run on. How they’re interconnected. Where the data is persisted. Is it relational at all?

Marcus Held

Efficient Data Queries with Spring Data JPA Projections

In the world of JVM Backend Development, efficient data processing is a crucial concern. One of the main strengths of Spring Data JPA lies in its ability to simplify and optimize interaction with the persistence layer. A particularly powerful feature provided by Spring Data JPA is the use of projections. They offer an excellent way to make data queries more efficient and improve system performance.

What are Spring Data JPA Projections?

Spring Data JPA projections allow you to create custom Partial Views of your entity classes. This means that instead of retrieving a complete entity, you can only retrieve selected fields, significantly reducing the size of the returned data and thereby improving the overall performance.

Marcus Held