Operations | Monitoring | ITSM | DevOps | Cloud

GitKraken On-Premise customers, we’ve got exciting news! The powerful Launchpad feature, previously available only in GitKraken Cloud, is now making its way to your self-hosted environment. This update brings a simplified, efficient, and fully local way to start your day informed—helping you stay on top of your Git activity without relying on external cloud services.

Agentic AI represents the next evolution in artificial intelligence systems, characterized by autonomous software entities that can independently pursue goals, make decisions, and take actions with minimal human supervision. Unlike traditional AI models that respond only to specific prompts, AI agents actively observe their environment, learn from feedback, and execute complex sequences of tasks to achieve defined objectives.

APIs often represent the cutting edge of the technology space. This is especially true with Artificial Intelligence – as AI has evolved from speculative technology to mass adoption, it has shown up significantly in APIs as a modality and mechanism. However, as with all new technologies, using AI APIs comes with significant challenges.

When incidents strike, clear communication is crucial — but one size doesn't fit all. Customer support needs to know what users are experiencing and possible workarounds, execs need business impact updates and timelines, and engineers need deep technical details. Manually juggling these different communication needs is time-consuming, error-prone, and frustrating when every minute counts.

This redesign is our biggest UI overhaul ever, and we’ve crafted it with three guiding pillars in mind: Below, you’ll find an overview of what’s new—and how you can take a look for yourself.

A well-built vulnerability management program covers everything from detection to patching to documentation, reporting, and ongoing measurement. Taking a structured approach to vulnerability management is a differentiator for DevOps teams: The more you can automate and enforce, the less time and effort it takes to find, fix, and monitor software vulnerabilities.

Managing SharePoint storage efficiently is crucial as data grows—discover how Squirrel Archiving stacks up against Microsoft 365’s built-in options to cut costs and improve accessibility.

Kubeflow is a cloud-native, open source machine learning operations (MLOps) platform designed for developing and deploying ML models on Kubernetes. Kubeflow helps data scientists and machine learning engineers run the entire ML lifecycle within one tool. Charmed Kubeflow is Canonical’s official distribution of Kubeflow. The key benefits of Charmed Kubeflow include security maintenance of container images, enterprise support, and further tooling integration with Spark, Feast, MLFlow, and others.

IT teams are drowning in alerts, tickets, and endless firefighting. With growing complexity across infrastructure, networks, and applications, manual incident response isn’t just inefficient—it’s unsustainable. That’s where auto-remediation steps in. Auto-remediation goes beyond detection and alerts—it takes action.