Systems | Development | Analytics | API | Testing

Organizations today face complex data challenges as they scale, with more distributed data architectures and a growing number of teams building streaming applications. They will need to implement Data Mesh principles for sharing data across business domains, ensure data sovereignty across different jurisdictions and clouds, and maintain real-time operations.

As Tricentis continues to lead the world of test automation, our latest release of Tosca’s cloud deployment option, available now, brings a wave of new capabilities designed to support the ever-evolving needs of modern enterprises.

No AI without APIs — as we say here at Kong. I’m excited to officially share our oversubscribed Kong Series E financing at a $2 billion valuation! We raised $175 million in both primary and secondary, led again by Tiger Global and co-led by new investor Balderton as well as new strong participation from long-only Teachers’ Venture Growth (the late-stage growth investment arm of Ontario Teachers’ Pension Plan).

We're excited to announce the open beta of a new feature within Bitrise Insights: Bitrise Build Cache Insights. This enhancement expands on our existing Build, Test, and Git Insights, enabling you to monitor and optimize your remote Bitrise Build Cache performance if you're leveraging Bitrise Build Cache for Bazel or Gradle to speed up your builds and tests. Our mission is to empower you with actionable data, alerts, and customizable dashboards to get even more value from your Bitrise experience.

Ensure visual consistency, higher-quality digital experiences, and smoother updates for your native mobile apps.

We are excited to announce the acquisition of Octopai, a leading data lineage and catalog platform that provides data discovery and governance for enterprises to enhance their data-driven decision making. Cloudera’s mission since its inception has been to empower organizations to transform all their data to deliver trusted, valuable, and predictive insights.

We’re excited to announce the ClearML 3.23 Enterprise Release. This release further helps AI builders speed models into production as well as monitor their usage, combining new features with new views and shortcuts that improve ease of use.

Large Language Models (LLMs) will be at the core of many groundbreaking AI solutions for enterprise organizations. Here are just a few examples of the benefits of using LLMs in the enterprise for both internal and external use cases: Optimize Costs. LLMs deployed as customer-facing chatbots can respond to frequently asked questions and simple queries.

We are thrilled to announce the release of Tricentis NeoLoad 2024.3, the latest update to our industry-leading performance testing platform. This release brings with it significant advancements, most notably support for Remote Terminal Emulation (RTE) — allowing organizations to performance test legacy systems.