When Azure AD is configured to record Sign-In activity, Kusto KQL can be used to gain valuable insights. This blog walks through common needs and shows how to visualize them in SquaredUp. Ruben Zimmermann is an Infrastructure Architect at a large manufacturing company who likes Azure, KQL, PowerShell and, still, SCOM.
To ensure the best possible end-user experience, engineering teams must be able to seamlessly transition from performance testing to problem resolution, breaking down any silos that exist between the two. That’s why, earlier this year, Grafana Labs launched Grafana Cloud k6, a unified platform that natively integrates the Grafana k6 performance testing experience directly into Grafana Cloud.
It is an old cliche adage, but there is no better statement than “a picture is worth a thousand words” that explains the effectiveness of visuals to deliver a message. Especially, in the data domain where a raw message often exists in numbers, visualizing graphs and charts is the best way to share information. When it comes to visualizing metrics from Graphite, there is no solution that can beat Grafana.
Snowflake is a cloud-based data warehousing platform that allows organizations to store, manage, and analyze large amounts of data. It offers a scalable, secure, and highly available solution that separates storage and computing resources. We already offer the Snowflake datasource plugin, which allows you to query and visualize data from your Snowflake Data Cloud on your Grafana dashboards.
Since Kubernetes Monitoring launched in Grafana Cloud last year, we have introduced highly customizable dashboards and powerful analytics features. We’ve also focused on how to make monitoring and managing resource utilization within your fleet easier and more efficient. But what’s an easy way to add resources to your cluster while using Kubernetes Monitoring?
As the largest liquidity network in crypto, Paradigm facilitates more than $11 billion in monthly volumes, representing nearly 40% global cryptocurrency option flows. Their free-to-use platform provides a single point of access to multi-asset, multi-instrument liquidity on demand, and Software Architect Jameel Al-Aziz leads the team of developers who build and maintain the platform.
GitLab is a popular open source DevSecOps platform for software development. The Enterprise Edition is a web-based Git repository manager that allows teams to collaborate on code and automate workflows for building, testing, and deploying applications. We already offer the Gitlab datasource plugin, which allows you to query and visualize data from your GitLab instance on your Grafana dashboards.
Because of where you’re reading this post, I’m going to assume you already know that Grafana is a great tool for visualizing and presenting metrics, and persisting them on dashboards. Ever since the Grafana Loki query builder for LogQL was introduced in 2022, it’s been easy to display and visualize logs, too.
Organizations are dealing with an explosion of metric data as they shift to cloud native architectures and adopt tools like Prometheus and Kubernetes. This in turn can lead to surges in spending on observability metrics. So while teams want a way to scale out metrics adoption to improve their observability — and thus, improve system performance and reliability — they also need to be mindful of skyrocketing costs that could scuttle those efforts before showing meaningful results.
There are many advantages to using dashboards that are powered by open-source technology that make them a compelling choice for many organizations. Below we will discuss some of the major benefits of using dashboards that are built with the help of open-source technology, along with examples of some of the leading use cases for which open-source technology has been utilized.
