Large Language Models, or LLMs, have become a near-ubiquitous technology in recent years. Promising the ability to generate human-like content with simple and direct prompts, LLMs have been integrated across a diverse array of systems, purposes, and functions, including content generation, image identification and curation, and even heuristics-based performance testing for APIs and other software components.

How technical and business data catalogs work together to make data legible and actionable for everyone.

In today’s fast-paced software development world, delivering high-quality software on time is paramount. Shift-left testing—the practice of moving testing activities earlier in the development cycle—has emerged as a cornerstone of modern development methodologies like Agile and DevOps. To implement shift-left testing effectively, test management tools play a critical role, enabling teams to manage, execute, and optimize testing processes efficiently.

In the fast-paced world of project management and software development, ensuring that all requirements are met and tracked can be a daunting challenge. The Requirements Traceability Matrix (RTM) plays a key role here. The RTM is a powerful tool that helps project teams track the relationships between requirements and various aspects of the project lifecycle.

It’s that time of year, again. Everyone’s been busy sharing their Best of 2024 for “this” or “that” list. A few weeks back it seemed the world was on Spotify Wrapped overload, taking pride in their top songs/artists. Now, I’ve got nothing against recaps, but for me, what’s more important than summing up the PAST year is what’s coming in the NEXT. Especially in the IT space.

In the world of data processing and messaging systems, terms like "queue" and "streaming" often pop up. While they might sound similar, they serve different purposes, and can significantly impact how your system handles data. Let’s break down the differences in a straightforward way.

APIs are the backbone of modern enterprise systems, but they also expose organizations to significant risks like data breaches and compliance failures. 85% of companies struggle to secure APIs, making robust API security essential. Here's a quick guide to protect your APIs effectively: Start by implementing basic safeguards like secure communication protocols, then move to advanced practices such as dynamic testing and centralized API management.

For years, data teams have struggled within proprietary ecosystems that prioritize vendor control over flexibility. Once a platform is chosen, switching becomes an expensive ordeal. Data formats, tightly coupled with specific tools, create rigid boundaries that make migrating workloads or integrating new technologies arduous. Moving datasets between systems often requires costly transformations and manual rewrites that consume time and resources.

This December has been full of pivotal serverless milestones. We've rolled out a series of major features designed to make your deployments experience smoother, faster, and more cost-effective: Let’s dive into this recap to cover everything that is new and share the resources you need to run and scale your workloads.