Imagine if you could get a dynamic, end-to-end view of your IT environment, and respond to issues as they arise. You could see how your applications, services, and workloads are connected, and how your servers interact with the networks. You could see connections turn red if they fail, view cascading alerts, and see rogue clients that could be causing problems. Not only that, but with just a few clicks you could fix the issue, and see the red alerts go away. Bringing together your data from workloads, applications, and networks help you start to see the big picture. However, when you apply machine learning and crowd-sourced knowledge from around the globe, suddenly you can visualize and act on your data in a way that you never have before.
To help get this visibility into your cloud and on-premises environment and make it actionable, we are introducing today new monitoring and diagnostics capabilities in Azure.
Read about it on the Azure blog.