Blog

In our guide to microservices resiliency patterns, we look at how to predict application failure points, and the resiliency patterns you can use to help prevent cascading and otherwise catastrophic microservices application failures.

This article looks at microservices performance and common performance problems with microservices, and how methods like database connection pooling can help.

In this article, we’ll look at the tools and technologies developers can and should use to find microservices performance issues throughout the development pipeline, and why using debugging tools during development is a must for every Java microservices developer.

What is Docker? Learn about this virtualization tool and how it is used in microservices architectures.

Our article explores the Java Hibernate ORM Tool, and discusses the popularity of Hibernate in Java, as well as six common issues caused by Hibernate.

In our 2020 Java technology report, we look at results of our 2020 Java developer survey related to technology choice. The survey gained nearly 400 responses from Java development professionals around the globe.

Learn about the Java CompletableFuture API, including insight into how it works and where it stands within the asynchronous Java landscape.

Docker is the top choice for containers, but when comparing Kubernetes vs Docker Swarm for container orchestration, Kubernetes has the upper hand. See why.

There are various Java microservices frameworks available for developers. Read to discover the most popular microservices frameworks.

Text blocks introduce a way for developers to predictably format multi-line string literals, and, in JEP 368, offer a more nuanced way to do so. See how.

Due to their popularity, you may be wondering when to use microservices in Java and when to stick with the monolith. Read to see microservices pros and cons.

Introduced in Java 13, Switch Expressions offer developers a new way to use switch. See the benefits and potential pitfalls in our tutorial, here.