Operations | Monitoring | ITSM | DevOps | Cloud

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.

For many data center professionals, the daily operations of a data center require a lot of repetitive manual data entry tasks. Manually entering data about data center assets over and over again is not only time-consuming, but it risks inaccurate information due to human error. However, there is a new way forward.

As someone tasked with handling the pitfalls and consequences of unwanted downtime, it can be difficult to keep up to date with the latest software developments working to address these undesirable yet inevitable situations. And yet, whilst recognizing this fact is a necessary condition of overcoming such challenges, it is not in itself sufficient to meet the task.

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.