Systems | Development | Analytics | API | Testing

By Erez Schnaider, Technical Product Marketing Manager, ClearML The number of AI applications are rapidly increasing, and it can be difficult to keep up. Every month brings a new protocol, LLM, or tool. In this environment, the true strength of a platform is measured not only by its core features but also by its extensibility and adaptability to change. Many platforms address this challenge by hosting OSS tools or exposing API connections.

Managing a large suite of automated tests, especially across multiple tools, can be overwhelming. The SmartBear MCP (Model Context Protocol) Server centralizes orchestration, monitoring, and prioritization so you can keep pipelines fast, reliable, and easy to manage. The demo video below shows MCP in action, and the sections that follow explain how each capability can help you get more out of both open-source and commercial testing tools. Explore these docs to learn how to get started.

Cross browser testing in Selenium helps teams ensure their websites work smoothly for everyone, no matter which browser or operating system they use. From Chrome to Safari, Firefox to Edge, each browser interprets code a little differently. Even the same browser can behave in surprising ways across versions or devices. That’s where Selenium WebDriver comes in.

Enterprise Performance Management (EPM) is the backbone of smarter business decisions—it brings structure to planning, budgeting, reporting, and analysis. But when handled manually, it can quickly become a grind: endless spreadsheets, complex data mapping, and reports that swallow valuable time. The work is essential, yet the process often slows teams down, leaving less room for the insights leaders actually need.

Launching a website is only half the fight. What seems perfect in development can easily fail when exposed to real-life usage, browser oddities, device quirks, slow performance, or crucial functionalities breaking at scale. This is not only frustrating for customers, but it can also have consequences on lost revenue, loss of security, and reputational damage. Today's website testing tools cover this gap by validating functionality, performance, and user experience before items get to production.

It's 3 AM, and during the testing process, your mobile app crashed in the middle of high traffic. Your outdated test infrastructure is unable to mirror real-life scenarios fast enough, and serious problems go undetected. On the other hand, a competitor provides a seamless user experience as they embrace Cloud-Based Testing and gain unmatched flexibility of open devices, speed of finding defects with their rapid scalability.

Swift Composable Architecture (TCA) is one of the cleanest and most scalable ways to build iOS and macOS apps today. Created by Point-Free, it pulls together state management, side effects, dependency injection, and modular design into one consistent and predictable system. Whether we’re crafting a tiny feature or designing a full-scale app, TCA helps us write Swift code that’s easier to test, easier to work out, and a lot less painful to maintain over time.

We're very excited to announce Kong Mesh 2.12 to the world! Kong Mesh 2.12 delivers two very important features: SPIFFE / SPIRE support, which provides enterprise-class workload identity and trust models for your mesh, as well as a consistent Kuma Resource Identifier (KRI) naming convention for resources in the Mesh. Read on to learn more!

This is the second post in a series about reasons to attend API Summit 2025. Check out the previous post here. To unlock Kubernetes’ full potential, many enterprises are relying on three key building blocks available in Kong Konnect today: Together, these components extend Kubernetes from being just a container orchestration platform. They lay the foundation for Kubernetes to support the exposure, governance, and operation of APIs — and the AI workflows that increasingly rely on those APIs.