Systems | Development | Analytics | API | Testing

The world of software is undergoing a seismic shift. Large Language Models (LLMs) are no longer a novelty; they are being integrated into a vast array of applications, from customer support chatbots to sophisticated code generation tools. For QA professionals and developers, this represents a new frontier in software testing as well, one that demands a fundamental rethinking of our traditional testing methodologies.

Microsoft Power BI has historically been the default choice for organizations looking to visualize data and generate reports. It’s a capable tool, and no one disputes that. But as businesses scale, especially those embedding analytics into their own software applications, Power BI’s limitations start to show. At some point companies feel the need to reevaluate their business intelligence (BI) strategy, not because the tools they use are "bad," but because their data needs have evolved.

Node.js is known for its non-blocking, event-driven architecture, making it great for handling I/O-bound tasks like web requests and file operations. But when it comes to CPU-intensive tasks, things get tricky. Because Node.js runs JavaScript in a single-threaded environment, heavy computations can block the event loop and degrade application performance. That’s where Worker Threads come in.

As a product leader, you're always looking for ways to stay ahead of the curve, meet evolving customer needs, and keep your product competitive. But with tight budgets, growing pressure to innovate, and constantly changing demands, it’s not always easy. Embedding AI-powered analytics into your application can be a powerful way to overcome these challenges and add more value for your users. But why is this approach so crucial, and how can you implement it effectively?

By Erez Schnaider, Technical Product Marketing Manager, ClearML.

As IT leaders race to keep up with the demands of cloud computing, big data and especially AI, the energy consumption and efficiency of their data centers has become a major concern. This is where the sustainability of their data storage infrastructure comes into focus. Shifting from what may have once been seen as a tactical necessity, to become a strategic imperative for meeting an organization’s operational AND environmental objectives.

Audits are demanding, recurring, and often time-consuming processes, especially for QA teams and developers. But it doesn’t need to be like that. When testing processes are well-structured from the start, with clear traceability between requirements, tests, executions, and results, being prepared for an audit is no longer a race against time. In this blog we'll cover all the useful features you can leverage from Xray Enterprise to aid you and your team in staying audit-ready.

Running an oil and gas business today isn’t what it used to be. Have you ever found yourself thinking- These are the real, everyday dilemmas leaders like you face. And as the industry gets more complex, with tighter margins, stricter regulations, and unpredictable market swings, these questions aren’t going away. But what if the answers didn’t lie in doing more, but in doing things smarter? This is where Artificial Intelligence (AI) is beginning to change the game.

Wearable apps are no longer just about counting steps or checking your heart rate. From smartwatches to fitness bands and even smart clothing, they’re becoming essential to how we live, work, and stay healthy. And suppose you’re considering getting started with wearable app development with the help of an experienced wearable app development company.