Application Performance Management is all about gaining a complete picture of your applications' inner workings so you can make sure they're performing as they should. APM tools make it easier for developers to spot issues that are preventing their applications from providing outstanding user experiences. Furthermore, these monitoring services can help to limit the danger of fatal outages and downtime, which can be extremely costly for any company.

As we indicated in our previous blog, AIOps (Artificial Intelligence for IT Operations) refers to the application of machine learning analytics technology that enhance IT operations analytics.

Traditionally an APM tool, Scout has expanded its service offerings to now include error monitoring of Python web applications for more cohesive and actionable observability insights within a single platform. This new feature supports an overall better user experience by eliminating the need for multiple web-application monitoring services; Scout APM with Scout Error Monitoring offers performance and error insight and alerting within a single, integrated dashboard.

I’ve recently been talking to some of the users of our eG Enterprise monitoring solution and its AIOps-powered root cause analysis platform. Multiple users have mentioned how the usability of the solution has been enhanced considerably by the availability of rich featured mobile apps for iOS and Android platforms.