Amy Feldman, Head of APM Product Marketing and Dominik Pinter, APM Product Management
With this increased reliance on applications, it’s more important than ever that IT organizations monitor and manage the end-user application experience across physical, virtual, web, mobile, wearables, cloud, containers, mainframe, user journey, behavior, and funnel. However, the ability to predict, identify, diagnose, and fix application issues is difficult, especially in today’s modern app environments that are complex, noisy, and dynamically changing. For organizations seeking to improve customer experience, reduce application issues, and gain insights into user behavior, using analytics and machine learning becomes a critical capability for any APM solution. As a result, modern APM solutions have evolved to include AIOps platforms that correlate and analyze data across users, applications, infrastructure, and network services apply machine learning, advanced analytics, and automation to deliver a new level of visibility with automated actionable intelligence. Attend this session to learn more about the exciting innovations delivered in DX APM 11.