Systems | Development | Analytics | API | Testing

In the AI era – the need for enterprise-wide data—from every operational system—available for instant analytics is real. Microsoft Fabric has fundamentally simplified the modern data estate, centering everything around the flexible, unified power of OneLake. A cornerstone of this platform is Mirroring, a low-latency, low-cost solution designed to break down silos. But for data engineering pioneers, the most exciting development is Open Mirroring.

The Kubernetes networking landscape is evolving, and recent announcements confirm a significant community shift. The Kubernetes community recently announced the upcoming retirement of one of its most widely used components: Ingress NGINX "To prioritize the safety and security of the ecosystem, Kubernetes SIG Network and the Security Response Committee are announcing the upcoming retirement of Ingress NGINX. Best-effort maintenance will continue until March 2026.

Is your artificial intelligence (AI) underperforming? You're not alone. Stale, fragmented data is a leading obstacle to optimal AI performance. Outdated information cripples your decision-making, fuels operational inefficiencies, and leads to missed opportunities—from slow fraud detection to irrelevant chatbot responses. AI’s rapid evolution makes real-time data even more critical: That’s why real-time data streaming isn’t merely an option.

Software teams today are routinely under pressure to release features more quickly, while keeping quality in check, in today’s fast-paced digital ecosystem. Automation testing enables teams to develop this balance; however, most teams find that writing and maintaining test scripts becomes a heavy burden with technical complexity, and takes time away from building features. This is where a Test Recorder is of great assistance.

In a previous blog post, we introduced one of the most significant advancements in Qlik Predict to date — multivariate time series (MVTS) forecasting, bringing enterprise-scale accuracy and context to complex prediction problems. But MVTS is only part of the story. Over the past few months, we’ve continued to enhance Qlik Predict with several powerful updates designed to make predictive AI more trustworthy, fair, and connected for our customers.

When you treat data as a product, your architecture delivers reliable, reusable data assets for every team.

WSO2 Integrator, which unites the BI, MI, SI, and ICP components, continues to evolve to help enterprises build and manage integrations that are faster, smarter, and easier to operate. With the November 2025 release, the product becomes more cohesive, intelligent, and developer-friendly than ever before. Included in this release: Together, these updates empower teams to innovate faster, govern integrations effectively, and operate reliably across the enterprise.

Most modern enterprises are generating more data than they can use, let alone integrate, analyze, and extract value from. Some figure out the secret to data value extraction is monetization—identifying data so valuable that other companies will pay for it. And now, the shift to real time data monetization is no longer a strategic option but a fundamental requirement for modern enterprises.

Effective test case management transforms scattered testing efforts into a systematic quality assurance powerhouse. Start treating test case management as a strategic investment, not an administrative burden. Poor software quality costs the U.S. economy at least $2.41 trillion annually, according to the Consortium for Information & Software Quality's 2022 report. Yet many QA teams still struggle with scattered test cases, missing documentation, and zero visibility into testing progress.

In the high-speed world of software development, the label V Software Development can suggest two distinct but connected concepts. On one hand, it denotes software development with the contemporary V programming language—a language intended for simplicity, efficiency, and security. On the other hand, it can symbolize the V-Model Software Development life cycle, a traditional model of software development that is characterized by structure, order, and verification at every phase.