Managing a service desk is usually straightforward when the team is small. A request comes in, someone picks it up, and the ...

The use of containers has now become part of everyday activities: in many cases we use them as software appliances or ...

Today, I’d like to share some exciting news about the latest feature we’re about to introduce to NetEye Cloud. As the title ...

NetEye is working always more and more towards an integration with Kubernetes. The NetEye Operator is the first piece of that journey we are working on, with the goal of obtaining a component that ...

In this article I’d like to walk you through how the kubernetes scheduler really decides where a Pod goes, and then put it to the test with three small experiments. As always, a couple of concrete ...

Agentic coding tools promise to move beyond code completion. Instead of asking an assistant to generate a function or explain an error, we give it a goal and let it inspect a repository, plan a change ...

When using Kubernetes on bare metal, exposing a LoadBalancer Service usually requires some mechanism to make the Service IP reachable from the surrounding network. With Cilium, one possible solution ...

So you can adopt one of those, base your standard off of them, or create your own. And then cry as you see 50 different blog posts by 50 different authors based off the output of 50 different AI ...

One MCP server for the filesystem, one for Git, one for Jira, one for the database, one for Icinga, one for the browser, one for email… and before long you find yourself with ten or fifteen servers ...

For a long time, software development has had a fairly comforting structure: You had a problem, you wrote some code, you shipped it, and then you moved on to the next problem while quietly pretending ...

Tekton has been at the core of our CI/CD infrastructure for several years. On OpenShift, however, we have never interacted ...

This is where Elastic’s Data Exfiltration Detection (DED) package can help. Instead of relying only on fixed thresholds, DED uses Elastic machine learning anomaly detection jobs to learn normal ...