Operations | Monitoring | ITSM | DevOps | Cloud

If you had the power to predict the future, how would you use it? Gartner refers to the predictive modeling process as that which collects data, formulates a statistical model, makes predictions, and then validates the model as additional data becomes available. In the world of intelligent automation, teams use predictive modeling to formulate how future outcomes or behaviors will be, by using historical data, machine learning (ML) algorithms, and analytical techniques.

Early in my career, I made the jump from defense contractor to customer support agent for an up-and-coming IT Service Management solution provider. Being new to the team and industry, I felt completely out of place. After the initial product training, I was pointed to a lab computer and told to start diagnosing a set of customer issues. I felt completely lost. Over time, with significant amounts of studying and leaning on my peers, I figured things out and eventually became one of the go-to analysts.

Using third party software on websites comes with risk and reward. eCommerce sites and platforms typically rely on the integration of a significant number of third-party apps and tools to augment functionality and features, from extracting customer data for personalization to enabling live chat to analyzing user experience of changes to a site. While third parties are often invaluable for these kinds of interactive purposes, they can also be the cause of disruptions to user experience.

Software-Defined Wide Area Network (SD-WAN) is a network architecture that provides organizations with a flexible, secure, and cost-effective way to manage their networks. SD-WAN technology abstracts the underlying network and provides an intelligent layer of abstraction, making it possible to manage network traffic and dynamically control the flow of data. SD-WAN technology is an attractive option for organizations looking to improve the performance and security of their networks.

This Kubernetes Architecture series covers the main components used in Kubernetes and provides an introduction to Kubernetes architecture. After reading these blogs, you’ll have a much deeper understanding of the main reasons for choosing Kubernetes as well as the main components that are involved when you start running applications on Kubernetes.

Prometheus is an open-source monitoring and alerting toolkit that has gained significant popularity in DevOps and systems monitoring. At the core of Prometheus lies PromQL (Prometheus Query Language), a powerful and flexible query language used to extract valuable insights from the collected metrics. In this guide, we will explore the basics of PromQL and provide query examples for an example use case.

Rancher Desktop is equipped with convenient and powerful features that make it stand out as one of the best developer tools and the fastest ways to build and deploy Kubernetes locally. In this blog, we will tackle Rancher Desktop´s functionalities and features to guide you and help you take full advantage of all the benefits of using Rancher Desktop as a container management platform and for running local Kubernetes.

From IoT monitoring to green IT, the first full day of GrafanaCON 2023 covered a lot of ground. It all kicked off with the keynote address, where Torkel Ödegaard, Grafana Labs CGO and co-founder — and the creator of Grafana — officially unveiled our latest major release, Grafana 10, alongside Director of Engineering Mihaela Maior.

Everything you want to know about high cardinality in cloud native environments and how to manage it effectively.

At N-able’s recent Empower partner event in Prague, we took the opportunity to ask some Cove Data Protection users what they actually think about the product. Naturally, we were pleased to hear so many positive comments, but we also found that their reasons for choosing Cove varied, as did the capabilities they value most. Here’s a little sample.