Operations | Monitoring | ITSM | DevOps | Cloud

When it comes to monitoring and observability, two of the most discussed standards are OpenMetrics and OpenTelemetry. While both are designed to collect and transmit metrics, they have distinct goals, use cases, and communities driving their development. In this guide, we'll break down what each of these projects is, how they compare, and how they fit into your monitoring stack.

Remember using SSH to access servers? It was the go-to method for troubleshooting or making changes to a system. But in the world of containers, SSH doesn't quite fit. Kubernetes and containers work differently; they're dynamic and spun up and down frequently. That’s where kubectl exec comes in. It lets you run commands inside a pod directly, without needing to rely on SSH or worry about the pod being ephemeral. It’s simple and fits the nature of modern, containerized environments.

Recently we’ve explored the evolving role of Kubernetes as a full ecosystem, rather than just a platform, diving into the power and complexity of add-ons. These tools, as highlighted previously, are key to augmenting Kubernetes core capabilities, and adding-on (as their name implies) essential capabilities not supported directly by Kubernetes itself.

Artificial intelligence is no longer a futuristic concept—it is shaping how businesses operate, how researchers innovate, and how people interact with technology. Models like DeepSeek-R1 , a promising new entrant, alongside established players such as Llama 3 and GPT-4o, are at the forefront of this transformation. These tools are not just about technological advancement; they are about solving real-world problems and driving meaningful progress.

Imagine a world where your Network Operations Center (NOC) runs so smoothly that it practically disappears into the background—no manual ticket triaging, no frantic war rooms, no all-nighters spent chasing false alarms. That’s the dream of a Dark NOC—a fully autonomous operations center where automation takes the wheel, reducing human intervention to a bare minimum.

DevOps is a dynamic field that bridges development and operations, ensuring seamless collaboration and faster software delivery. Whether you're just starting or looking to sharpen your skills, having quick access to essential concepts is invaluable. That’s why we’ve created a DevOps cheat sheet that covers everything from programming fundamentals to scripting and website building. This cheat sheet is your go-to resource for mastering DevOps tools, languages, and workflows.

Testing shouldn’t feel risky. While it might sound counterintuitive, certain types of testing can actually increase risks to your systems. Load testing, for example, is a great way to see how your systems behave under pressure, but it can also cause those same systems to fail if they aren’t equipped to handle the load. For some types of testing, this is necessary, as is the case with reliability testing and Chaos Engineering.

Engineering teams might face the technical hurdle of legacy system dependencies or they might worry about downtime during deployments. This article dives into these challenges and provides strategies to overcome them.