Java Web Development (JSP/Servlets) Services

If you are working with data pipelines, chances are you have crossed paths with Apache NiFi. For years, it's been the go-to way for getting data from point A to point B (and often C, D, and E). Its visual interface makes building complex routing, transformation, and delivery flows surprisingly easy, handling everything from simple log collection to intricate IoT data streams across countless organizations. It's powerful, it's flexible, and honestly, it just works really well for shuffling bits around reliably. We set up our sources, connect our processors, define our destinations, and watch the data flow — job done, right?

AI Opportunity

Well, mostly. While Apache NiFi is fantastic at the logistics of data movement, I started wondering: what if we could make the data smarter while it's still in motion? We hear about AI everywhere, crunching massive datasets after they've landed in a data lake or warehouse. But what about adding that intelligence during ingestion? Imagine enriching events, making routing decisions based on predictions, or flagging anomalies before the data even hits its final storage.

There is no doubt that nowadays software applications and products that have a significant contribution to our well-being are real-time. Real-time software makes systems responsive, reliable, and safe, especially in cases where timing is important — from healthcare and defense to entertainment and transportation. Such applications are helpful as they process and respond to data almost instantly or within a guaranteed time frame, which is critical when timing and accuracy directly affect performance, safety, or even user experience.

As a protocol that enables real-time, two-way (full-duplex) communication between a client and a server over a single, long-lived TCP connection, WebSockets are among the technologies used by such applications.

For a long time, I thought I had password hashing figured out.

Like many Java developers, I relied on bcrypt, mostly because it’s the default choice in Spring Security. It was easy to use, widely recommended, and treated in tutorials as "the secure option." I plugged it in, shipped features, and moved on.

Here’s today’s invitation: join the GitHub Copilot CLI Challenge and build something with Copilot right in your terminal. Visit the challenge page for the rules, FAQ, and submission template.

Why I’m Excited About Copilot CLI (especially for Java)

If you write Java for a living, you already know the truth: the terminal is where we build and test. It’s where feedback loops are short and where most productivity gains come from “small wins” repeated hundreds of times.

So, what does a file system mean to you? Most think of file systems as directories and files accessed via your computer: local disk, remotely shared via NFS or SMB, thumb drives, something else. Sufficient for those who require basic file access, nothing more, nothing less.

That perspective on file systems is too limited: VCS repositories, archive files (zip/jar), and remote systems can be treated as file systems, potentially accessed via the same APIs used for local file access while still meeting security and data requirements. Or how about a file system that automatically transcodes videos to different formats or extracts audio metadata for vector searches? Wouldn’t it be cool to use standard APIs rather than create something customized? Definitely!