Systems | Development | Analytics | API | Testing

APIs are no longer just simple integration interfaces. As AI models, agents, and digital ecosystems become increasingly interlinked, APIs have become products. They have their own usage patterns, costs, and business implications. To make informed, data-driven, and business decisions, you require deep visibility into your systems. To address these challenges, the latest v4.6.0 release of WSO2 API Manager includes a dedicated API intelligence engine, powered by Moesif.

If you’ve worked in QA long enough, you’ve seen how much testing has changed inside Jira. What started as a mix of spreadsheets, manual checklists, and endless review cycles has grown into fully integrated Test Management workflows. But even with automation, some challenges never went away. Writing test cases from requirements still takes time.

Note: This article is the third instalment in a four-part series. Check out the first two posts here:- Why we ditched frontier AI agents and built our own- Building Bitrise’s context-aware, browser-integrated AI copilot that keeps engineers in control.

As artificial intelligence (AI) adoption has grown over the last several years, it has become increasingly clear to companies and observers that successful AI requires real-time data and context. And it’s not just AI—every critical business function that relies on data inputs needs that data to be as trustworthy and fresh as possible.

‍ Healthcare’s most significant bottleneck in 2025 isn’t technology, it’s people. Across hospitals and clinics, staff shortages, burnout, and scheduling chaos are threatening the quality of care and driving operational costs upward. The U.S. alone is projected to face a shortfall of up to 3.2 million healthcare workers by 2026, according to Mercer.

‍ Healthcare isn’t broken because of a lack of technology. It’s broken because most of the tech running hospitals today is outdated, overloaded, or barely held together with patches. Talk to any healthcare CIO and you’ll hear something like: “Our EHR is older than half our staff, the vendor sunset half the modules, and our IT team hasn’t slept since last quarter.” This isn’t drama, it’s reality.

Cowboy is a small, fast, and modern HTTP server for Erlang/OTP. It particularly shines when handling multiple concurrent connections with minimal overhead. This makes it a perfect choice for building lightweight, real-time streaming services. In this article, we’ll build a tiny real-time text pub/sub server using Cowboy. Our service supports HTTP-based publishing, allowing clients to subscribe using either WebSockets or Server-Sent Events (SSE).

It’s a common idea across the tech industry: AI is fueling a new wave of technological innovation. Test automation is no exception. Over three decades, enterprise QA customers have turned to Tricentis Tosca to transform inefficient testing practices with model-based automation. Now, the company you’ve relied on for scalable, codeless test automation is entering a new era of agentic testing with Tosca’s cloud deployment as its foundation.

DreamFactory's df-spark integration provides a production-ready, plug-and-play connector that automatically generates REST APIs for Apache Spark clusters, Databricks SQL Warehouses, Delta Lake tables, and Unity Catalog resources. This integration enables organizations to expose Spark data through standardized REST endpoints without writing custom API code, supporting both SQL-based workloads and advanced Spark Connect operations.