Systems | Development | Analytics | API | Testing

GPU underutilization costs enterprises millions annually, with expensive accelerators frequently running single workloads at a fraction of their capacity. According to ClearML’s 2025-2026 State of AI Infrastructure at Scale report, almost half (49.2%) of IT leaders at F1000 companies identified maximizing GPU efficiency across existing hardware, including shared compute and fractional GPUs, as their top priority for expanding AI infrastructure over the next 12-18 months.

What’s remarkable is how long Confluent competed at the highest level. Creating a category and type of application is hard; transitioning to cloud and surviving against hyper scalers is even harder. That alone is a huge achievement. Some see this as a pressured exit. But another way to look at it is as a strategic purchase by IBM to strengthen its position in enterprise data movement and integration.

iOS code signing is a critical step in app development, ensuring apps are secure and trusted by Apple and users. However, it often leads to frustrating errors that can disrupt development and delay app launches. Here’s what you need to know.

When Oracle updates hit, many IT teams brace for impact. Backlogs swell, manual checks slow releases, and a patch that should take hours can stretch into days. For enterprise teams running Oracle at scale, outdated testing tools can be inefficient, costly, and difficult to manage. At Oracle AI World, two global organizations shared the stories of how they moved past those bottlenecks.

A hands-on tutorial that takes you from nothing to a working REST API. No prior API experience required. By the end of this tutorial, you'll have a working REST API with multiple endpoints. You'll understand HTTP methods (GET, POST, PUT, DELETE) and know how to test your API. You'll also see why teams often choose auto-generation over hand-coding for production APIs. Prerequisites: Node.js installed (v18+), a code editor, and basic terminal familiarity.

November delivered steady innovation across SQLMesh, SQLGlot, and the Fivetran Connector SDK, with advancements in reliability, dialect fidelity, and developer tooling.

Most QA teams build and run test cases every sprint. But without a shared structure, tests get reactive, repetitive, or incomplete—leading to missed edge cases, duplicated effort, and late-cycle surprises. That’s where QA Test Scenarios come in. A test scenario maps out what you’re testing at a business flow level before you dive into writing test cases. It gives your team a clear, reusable view of what matters—so you test smarter, not just more.

Picture this: You’ve spent hours perfecting your React component. The animations are smooth, the responsive design works flawlessly, and you’re ready to test the user flow. You click “Submit” and… nothing happens. Or worse, you get a cryptic CORS error. The problem? Your backend isn’t running. Again.

Writing a bug report sounds simple. But when done wrong, it leads to one outcome: the report gets ignored. And it happens more than most QA teams admit. Engineers read vague summaries, unclear steps, or missing context, and just reply with a cold: “Can’t reproduce.” That’s why we created this bug report template. It’s the one we wished we had early in our QA careers. It helps you provide the right information to help developers fix bugs faster.

This guide ranks the top data exchange tools that help teams move, share, and operationalize data across applications, partners, and clouds. We evaluate platforms across ETL and ELT, streaming, B2B EDI, managed file transfer, and cloud data sharing. Integrate.io earns the top spot for pairing secure, low code data exchange with strong transformations and governance across modern stacks. The list balances breadth and depth, so you can match tools to real integration needs without guesswork.