Systems | Development | Analytics | API | Testing

In the past year, generative AI has gone well beyond basics. Experiments with GenAI, such as ChatGPT4, can solve technical problems using mental models and complex systems consisting of specific rules, context, and toolsets. This is not your mother’s chatbot; tech companies that immediately integrated generative AI tools into their workflow report fast and almost universal performance gains.

In the dynamic realm of synthetic monitoring, where ensuring the performance and availability of critical aspects of web applications is a must, an important aspect has been missing – support for monitoring sign-in processes that use Multi-Factor Authentication (MFA). Until now, no synthetic monitoring product on the market has adequately addressed the challenge of monitoring transactions that require the input of MFA code.

Seattle, WA, June 28, 2023 — On stage at Collision Conf in Toronto, NodeSource, Inc., the leader in enterprise-grade solutions and support for Node.js, made two big announcements: the private beta of its groundbreaking AI Assistant, "Adrian," designed to revolutionize the way developers and DevSecOps analyze, optimize, and secure Node.js applications, and that it’s open-sourcing its Node.js runtime to enable developers access to the most advanced runtime available.

The fast-paced world of digital technology necessitates dynamic and responsive approaches to data analysis. In this light, cohort analysis emerges as a formidable tool, providing meaningful insights when blended with real-time analytics. This fusion is especially beneficial for digital enterprises like Countly's users, who operate within a highly volatile environment. ‍

We are thrilled to announce that Katalon has been honored with 7 G2 awards in summer 2023! This recognition from the world’s largest tech marketplace demonstrates our commitment to delivering cutting-edge solutions and empowering organizations to achieve excellence in software testing.

In spite of diligent digital transformation efforts, most financial services institutions still support a loose patchwork of siloed systems and repositories. These dis-integrated resources are “data platforms” in name only: in addition to their high maintenance costs, their lack of interoperability with other critical systems makes it difficult to respond to business change.

By now, when we hear the words “service mesh” we typically know what to expect: service discovery, load balancing, traffic management and routing, security, observability, and resilience. So, why Kong Mesh? What does Kong Mesh offer that would be more difficult to obtain with other solutions? Why is Kong Mesh with Red Hat OpenShift a great pairing? We’re happy to announce that the Kong Mesh 2.2.0 UBI Images are available in the Red Hat Ecosystem Catalog.