The Uptrace team is pleased to present the latest v1.7 release, which introduces dark mode, revamped navigation, dashboards list, system tracing metrics, and much more.

Elastic Search 8.13 extends the capabilities that enable developers to use artificial intelligence and machine learning models to create fast and elevated search experiences. Integrated with Apache Lucene 9.10, measured vector search performance has exceeded 2x in benchmarks, extending the sophistication of searches that can be performed in near real time.

It has been a long time since our last release, but today it is finally time to release Icinga for Windows v1.12.0! We made some huge improvements to certain areas of Icinga for Windows, which we are going to talk about.

March 26, 2024: Today, Canonical announced the release of Charmed MongoDB, an enterprise solution for MongoDB® that comes with advanced automation features, multi-cloud capabilities and comprehensive support.

Today, we are pleased to announce the general availability of Elastic 8.13.

Last week – on the 15th of March 2024 – the Harvester team excitingly shared their latest release, version 1.3.0. The 1.3.0 release has a focus on some frequently requested features, such as vGPU support and support for two-node clusters with a witness node for high availability. As well as a technical preview of ARM enablement for Harvester and cluster management using Fleet. Let’s dive into the 1.3.0 release and the standout features…

We have all heard that we as MSPs should be managing Apple devices. We all know the common reasons why.

Sentry knows a lot about the inner workings of an application’s codebase. So we got to thinking, how can we use this rich dataset to make debugging with Sentry even faster? Many generative AI (GenAI) tools (e.g. GitHub Copilot) improve developer productivity in their dev environment, though few have the contextual data Sentry has to help fix errors in production.

Today, we’re making it even easier to find and solve user-impacting issues with three new Sentry Performance features.

Today we’re happy to announce our new VictoriaMetrics Anomaly Detection solution, which harnesses machine learning to make database alerts more relevant, accurate and actionable for enterprise customers. VictoriaMetrics Anomaly Detection lightens the load on overworked data engineers, focusing their scarce resources on the alerts that matter most to their organization.