Operations | Monitoring | ITSM | DevOps | Cloud

Kubernetes has revolutionized container orchestration, allowing developers to deploy and manage applications at scale. However, as the complexity of a Kubernetes cluster grows, managing resources such as CPU and memory becomes more challenging. Efficient pod scheduling is critical to ensure optimal resource utilization and enable a stable and responsive environment for applications to run in.

Having to switch between multiple desktop client windows to access them remotely is highly time-consuming and leads to a cluttered desktop. But you can simply ditch the frustration by using RDCMan for your RDP connections. In this article, we'll explore what it is, how you can use it, and the differences between mRemoteNG and RDCMan. We'll also discuss alternatives to this tool. So, let's dive in and learn how to use Microsoft's RDCMan to manage your remote connections like a pro!

At Canonical, we often get questions about open-source security and of course, Linux security is a common topic. Based on a recent webinar hosted by our security team and an accompanying blog post, we put together the most common questions we receive. This is by no means an exhaustive list, but it should give you a general idea about Ubuntu’s approach to security vulnerability management, livepatch, IoT, and its compliance and hardening tools.

Kubernetes Secrets are a built-in resource type that's used to store sensitive data. This blog teaches you how to work with Secrets in Kubernetes. Kubernetes can do many things, but we usually refer to it as a “container orchestrator.” Orchestrating containers means starting and restarting them when needed, ensuring their configuration matches the declared state, and autoscaling them. But Kubernetes can do much more than that.

We recently got this great feedback from a dear user in our Discord: This is great and exactly what we want, a clear problem or improvement we could make to help make that users monitoring life a little easier. This is also where the beauty of open source comes in and being able to build on the shoulders of giants - adding such a feature turned out to be pretty easy by just extending our existing Pandas collector to support SQL queries leveraging its read_sql() capabilities.