Systems | Development | Analytics | API | Testing

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 Your outdated test infrastructure is unable to mirror real-life scenarios fast enough, and serious problems go undetected.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.

As artificial intelligence (AI) matures from experimentation into production use cases, the symbiotic relationship between data and AI becomes increasingly clear. To deliver real business impact—smarter automation, better customer experiences, and massive cost takeout—AI use cases are only as powerful as the data they’re running on.

We’re proud to announce that Confluent has been named MongoDB’s 2025 Global Tech Partner of the Year. This award highlights the strength of our partnership and joint go-to-market execution, helping enterprises build the next generation of intelligent, event-driven artificial intelligence (AI) applications.

With recent performance improvements to BigQuery, users can expect gains in scalability, reliability, and usability across BigQuery and BigQuery ML.

Modern application development demands speed, reliability, and reproducibility. But between third-party APIs, unstable backend services, and inconsistent test data, API development often struggles to achieve dependable environments for testing and iteration.