Operations | Monitoring | ITSM | DevOps | Cloud

More code is being shipped today than ever before, accelerated by AI powered code gen tools. We’re in a golden age for builders. But here’s the thing: software still breaks in production. From a recent study by Microsoft, AI models struggle to debug software. It’s because most of these code gen tools lack the one thing every good developer relies on: context. To debug anything, you need context. Having AI tools doesn't change that.

Modern infrastructures are no longer confined to on-premises servers alone. Instead, they span cloud environments, containers, microservices, and globally distributed systems. This landscape, known as a hybrid cloud environment, has become the new norm for organizations, primarily because it offers the scalability of the cloud and ownership over specific elements afforded by an on-premises setup.

Today, we are pleased to announce the release of CFEngine 3.26.0! Being a non-LTS (not supported) release, this release allows users to test the new functionality we’ve been working on before it arrives in an LTS release later this year. The codename for this release is a bit different, as it is named after a new feature introduced, and what it eliminates - the admin user.

As organizations move beyond traditional hypervisors, Harvester continues to lead the way as an open source, Kubernetes-native virtualization solution. With the release of Harvester 1.5, users now have greater flexibility and ecosystem alignment than ever before—with General Availability (GA) for ARM64 and support for CSI-compatible storage backends. Harvester is part of a growing shift toward cloud-native infrastructure that unifies VMs and containers under the Kubernetes API.

For organizations providing vital mental health assistance, safety crisis services and delivering critical humanitarian support when disaster strikes, reliable digital infrastructure is essential. Whether connecting individuals to crisis counselors via text or coordinating face-to-face healthcare support, these digital services must operate seamlessly.

IT operations aren’t broken; they’re overloaded. Every alert, every outage, every ticket is a symptom of scale. Cloud sprawl, hybrid infrastructure, and tool overload have turned ops into a constant scramble. AIOps has been in the conversation for years, mostly as potential.

You’re looking at an error in Sentry—a failed payment in your Flask backend or an unexpected null in your Node API. You’ve got the stack trace. The request details. Even the full trace. What you don’t have: the logs your app emitted right before everything went sideways. With Sentry Logs (now in open beta), you can send application logs straight to Sentry and see them automatically connected to the errors and traces you already use.

ServiceNow’s Knowledge 25 unveiled transformative innovations designed to embed AI deeply within every enterprise workflow. These advancements—like AI Agents, the AI Agent Fabric, and the AI Control Tower—mark a leap forward in digital operations. But what if you could amplify these capabilities even further, achieving truly proactive, automated, and seamless responses across your entire organization?

Is SCOM dead? Not even close - It has just evolved System Center Operations Manager (SCOM) is far from dead. While a growing number of monitoring alternatives have emerged in recent years, SCOM in 2025 remains a critical tool, especially for organizations running hybrid environments. Thanks to its stateful, object-oriented monitoring model and a rapidly evolving ecosystem of modern Management Packs (MPs).

Machine learning models must do more than make accurate predictions; they also need to adapt as the world around them changes. In real-world systems, data distributions shift due to seasonality, equipment wear, user behavior changes, or other external forces. If your models can’t keep up, the result is poor predictions. This can lead to outages, inefficiencies, or missed opportunities. That’s why forecasting systems need to be monitored and resilient, not just accurate.