Java Web Development (JSP/Servlets) Services

If you are a developer, regardless of the technologies you use, at some point, you will face the challenge of handling large Excel files.

Most commonly, you will see the "out of memory" error when handling these files.

Advanced Technical Approach

Some Java frameworks have taken on the complexity of supporting both javax and jakarta package namespaces simultaneously. This approach makes sense for frameworks and platform services, such as Jetty and ActiveMQ, where the core development team needs to move the code base forward to support newer JDKs, while also providing a way for application developers to adopt Jakarta EE gradually. This simplifies the support for open-source frameworks, as there are fewer releases to manage, and in the event of a security bug, being able to release one mainline branch vs having to go back and backport across past versions.  

However, supporting both javax and jakarta namespaces simultaneously in a single application is complicated and time-consuming. Additionally, it opens additional scenarios that may lead to errors and security gaps for enterprise applications. This limits the ability to set up verification checks and source code scanning to block pre-Jakarta libraries from being used or accidentally pulled in through transitive dependencies. It creates a lot of ambiguity and reduces the effectiveness of DevOps teams in providing pre-approved SDKs to be used by enterprise developers. With the pitfalls outweighing the benefits, enterprise projects should not need to support both javax and jakarta namespaces simultaneously in most scenarios.

If you’ve ever tried to scale your organization’s data infrastructure beyond a few teams, you know how fast a carefully planned “data lake” can degenerate into an unruly “data swamp.” Pipelines are pushing files nonstop, tables sprout like mushrooms after a rainy day, and no one is quite sure who owns which dataset. Meanwhile, your real-time consumers are impatient for fresh data, your batch pipelines crumble on every schema change, and governance is an afterthought at best.

At that point, someone in a meeting inevitably utters the magic word: data mesh. Decentralized data ownership, domain-oriented pipelines, and self-service access all sound perfect on paper. But in practice, it can feel like you’re trying to build an interstate highway system while traffic is already barreling down dirt roads at full speed.

JavaFX is a versatile tool for creating rich enterprise-grade GUI applications. Testing these applications is an integral part of the development lifecycle. However, Internet sources are very scarce when it comes to defining best practices and guidelines for testing JavaFX apps. Therefore, developers must rely on commercial offerings for JavaFX testing services or write their test suites following trial-and-error approaches.

This article summarises the seven most common mistakes programmers make when testing JavaFX applications and ways to avoid them.

JGraphlet is a tiny, zero-dependency library for building task pipelines in Java. Its power comes not from a long list of features, but from a small set of core design principles that work together in harmony.

At the heart of JGraphlet is simplicity, backed by a Graph. Add Tasks to a pipeline and connect them to create your graph. Each Task has an input and output. A TaskPipeline builds and executes a pipeline while managing the I/O for each Task.