In this podcast episode, we would like to invite you to listen to the conversation we had with Otavio Santana. Otavio is a passionate architect and software engineer and a very prominent persona in the Java EE and Jakarta Community. He is a Java Champion, recognized for his vast contributions to the Java and open source ecosystem. He is a committer and leader in several open source products and specifications.

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

Securing applications is a critical aspect of modern software development, ensuring that only authorised users can access sensitive functionalities and data. In the realm of Java enterprise development, one of the robust solutions for securing applications is the use of MicroProfile JWT (JSON Web Tokens). This approach combines the strengths of Jakarta EE, with the agility and portability of MicroProfile standards, particularly for microservices architectures.

Download the Guide - 
Securing Jakarta EE Applications with MicroProfile JWT

Diving into the digital depths with a surge of enhancements, the December 2023 release of Payara Platform has arrived. This release comes with significant improvements, bug fixes, and component upgrades, further enhancing the robustness and capabilities of the Payara Platform for Jakarta EE and MicroProfile applications.

Payara Enterprise 6.9.0 (request your free trial here) comes with 3 improvements, 4 bug fixes and 7 component upgrades. Payara Community 6.2023.12 (download here) also comes with 2 improvements, 3 bug fixes and 7 component upgrades.

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.