Java Web Development (JSP/Servlets) Services

In data-driven applications, the rise of stream processing has changed how we handle and act on data. While traditional databases, data lakes, and warehouses are effective for many batch-based use cases, they fall short in scenarios demanding low latency, scalability, and real-time decision-making. 

This post explores the key concepts of stateless and stateful stream processing, using Kafka Streams and Apache Flink as examples. These principles apply to any stream processing engine, whether open-source or a cloud service. 

In modern software or website development processes, Java frameworks are widely used as they make it easy to build dynamic apps and websites. Moreover, in 2023, the value of the Java frameworks software market was USD 3,982.40 million. It is forecasted to reach USD 9,049.22 million by 2030. This proves the significance of using Java frameworks such as Grails, Google Web Toolkit (GWT), Quarkus, and the Hibernate and Spring frameworks. 

But today, I am going to discuss the Spring and Hibernate frameworks since developers extensively utilize them. Throughout the article, I will help you understand what these two frameworks actually do, their best features, their flexibility, and much more. 

One of the most famous deadlocks is the one encountered in the well-known problem of the ‘dining philosophers.’ Briefly, it is said that ‘n’ philosophers sit at a round table aiming for Chinese food. 

On the table, there are ‘n’ chopsticks, one between every two philosophers. As the venue is a pleasant and productive one, they are not only eating but also thinking, alternating between the two. In order to be able to eat, each needs to acquire two chopsticks first, eat, then put them back on the table and get back to thinking. Without getting into further details, one can easily observe that in the situation where each philosopher grabs the chopstick to his right and then waits for the one on the left without realizing the former, the deadlock appears. 

As Java continues to evolve, each new release aims to introduce features that improve the language’s performance, usability, and flexibility. By adopting this release, you can stay ahead of the curve and prepare for when these features become stable in future LTS versions.

In this article, I will give you a quick overview of significant changes in Java 23, focusing on the most notable JEPs (JDK Enhancement Proposals). Those interested in previous changes can check out my earlier article on Java 21 features, and you can also read Dariusz Wawer’s older piece with a detailed description of Java 17 features (along with a comparison to Java 8).

If you’re a Java developer wanting to build AI agents or interface with various large language models (LLM) in Java, you will be familiar with Langchain4J.

What Is Langchain4J Simplified?

LangChain4J is essentially a toolbox for Java developers that makes it easier to add advanced language AI capabilities (like chatbots or text generators) to their applications, without having to deal with a ton of complicated details.