Java has been a staple in the software development world for decades, renowned for its robustness and vast ecosystem. However, some seasoned Java developers have encountered limitations within its collections framework, particularly when dealing with ordered elements. Enter JEP 431. JEP 431, part of the Java Enhancement Proposal system, represents a significant advancement in Java's ongoing evolution. The Java Enhancement Proposal system is a process for proposing, reviewing, and implementing new features in the Java programming language. JEP 431, in particular, introduces necessary enhancements to the Java Collections Framework, addressing longstanding limitations and expanding its capabilities for us Java developers.

In the journey through our Jakarta Batch blog series (see Part 1 here and Part 2 here) , we've taken a deep dive into the architecture of batch jobs, the inner workings of chunks, and the best practices for optimising their processing. Now, it's time to shed light on the less-discussed but equally vital aspect of batch processing: the task-oriented approach, specifically the role of batchlets in Jakarta Batch jobs. We'll also explore how to effectively monitor and manage batch job lifecycles to maintain efficiency and reliability.

In this podcast episode, we’d like to invite you to listen to the conversation we recently had with Ken Fogel. Ken is a well known expert in Java and Jakarta EE industry, he’s been working with Java for over 20 years.  Unsurprisingly, he is also a Java Champion, and a Java Community Process Executive Committee member. He is an active conference organizer, very prominent and active in the Java, Java EE and Jakarta EE community.

So there’s no wonder why we had to invite him to our podcast!

Head over toSpotifyorYouTube to listen to the conversation and subscribe for more episodes! 

Java’s Ahead-of-Time (AOT) native compilation, as seen in frameworks like GraalVM, boasts rapid startup times and lower memory usage. However, for Jakarta EE application developers, the practical benefits of these advantages often don’t translate into substantial economic or technical gains. This leads to questioning the viability of investing resources into adapting existing Jakarta EE applications for GraalVM compatibility.

Download the Guide - Reassessing Native Compilation for Jakarta EE Applications: A Pragmatic Perspective

It's time for the November Payara Monthly Catch! Our monthly news roundup ensures you get the best news of Java, Jakarta EE, MicroProfile, and open source. 

Let's have a look at the most interesting and important news from last month.

Cloud deployment refers to the process of hosting applications on a remote server infrastructure, accessible over the internet. This paradigm has revolutionised software development, offering immense scalability, flexibility, and efficiency. Traditional deployment methods have evolved to embrace modern cloud environments, ranging from Infrastructure-as-a-Service (IaaS), where you manage servers but not physical hardware, to Platform-as-a-Service (PaaS) and Software-as-a Service (SaaS) solutions, which abstract much of the server management and maintenance tasks.

Download the Guide - Automated Jakarta EE Cloud Deployments With GitHub Actions And Payara Cloud

Continuing from where thelast blog post left off, let's delve deeper into the intricacies of configuring the chunk in Jakarta Batch. As we've seen, a chunk represents a set of items to be processed as a batch. Now we will explore how to control this process, manage potential errors, and ensure efficient execution.

In a world where technology never sleeps, staying ahead is not just an advantage; it's a necessity.  This is especially true for organisations running enterprise-level applications on Java EE 8 through  Payara Enterprise 5. While this platform has undoubtedly served you well, the release of Jakarta  EE 10 and Payara Enterprise 6 marks the beginning of a new era in Enterprise Java development. 

In the dynamic world of software development, efficiency and speed are key. This is where Payara Starter, our new code scaffolding tool, comes in. Designed to streamline and simplify the initial setup process, Payara Starter helps developers like you kickstart your Jakarta EE projects with ease, whether you prefer Maven or Gradle build systems.