Systems | Development | Analytics | API | Testing

We are proud to announce the release of Apache Kafka 3.9.0. This is a major release, the final one in the 3.x line. This will also be the final major release to feature the deprecated Apache ZooKeeper mode. Starting in 4.0 and later, Kafka will always run without ZooKeeper.

We understand how complex app distribution can be, especially when juggling multiple tools for mobile app testing and store releases. This is what prompted us to build Release Management back in 2022. Originally tightly coupled to Bitrise CI, we're excited to announce that Release Management can now be used with any CI tool. This means all mobile teams can use Release Management, and we're offering it with a generous free tier, regardless of their CI tool.

As the open-source maintainers of MLRun, we’re proud to announce the release of MLRun v1.7. MLRun is an open-source AI orchestration tool that accelerates the deployment of gen AI applications, with features such as LLM monitoring, fine-tuning, data management, guardrails and more. We provide ready-made scenarios that can be easily implemented by teams in organizations.

We strive to improve clarity and user-friendliness, and have thus focused our efforts on several features that align with this objective. Our new Sidebar Menu, the Release Tracking Feature and an increased comparison range for Releases and Markers as well as the possibility to show error messages in notifications all fall into this category. Summary.

We’re excited to unveil a sneak peek of the upcoming NeoLoad 2024.3 release, which will be generally available this November. One of the most anticipated features in this release is remote terminal emulation (RTE) support — a game-changer for teams responsible for the performance of mainframe and other legacy systems.

Companies are under pressure to deliver faster innovation, enabled by cloud-based data analytics and AI. In order to deliver faster business value, data teams are looking to achieve speed and scale through data and AI pipeline performance and efficiency. A recent MIT Technology Review Insights report finds that 72% of technology leaders agree that data challenges are the most likely factor to jeopardize AI/ML goals.

Predictive machine learning continues to be a cornerstone of data-driven decision-making. However, as organizations accumulate more data in a wide variety of forms, and as modeling techniques continue to advance, the tasks of a data scientist and ML engineer are becoming increasingly complex. Oftentimes, more effort is spent on managing infrastructure, jumping through package management hurdles, and dealing with scalability issues than on actual model development.

As a follow-up to our recent Kong Insomnia v10 release that shipped with an unlimited and free Collection Runner and one week after announcing our official SCIM support for automated user provisioning, we're now excited to announce Insomnia v10.1. This release ships with the general availability of the CLI to use the Collection Runner with CI/CD automation, a new in-app invite wizard that simplifies working with collaborators, and many other improvements.

Today we're excited to introduce SCIM (System for Cross-domain Identity Management) support in Kong Insomnia to automatically provision and deprovision user accounts using a third-party IDP. This capability will enormously simplify the process of onboarding enterprise users into Insomnia, and it's available today for every Enterprise plan customer.

At Bitrise, our goal is to make configuration management as intuitive, clear, flexible, and efficient as possible. As tech projects scale and complexities grow, managing large YAML configuration files can become a daunting task. Bitrise is excited to introduce the Modular YAML configuration feature, aimed at simplifying how your CI/CD configuration.