Many enterprises are covering as little as five percent of their application stack with traditional APM solutions.

Today’s complex environment and ever-changing market require a new approach to application performance management (APM) that assumes everything is critical, leverages AI to manage complexity, employs automation to keep pace with change, and focuses on business outcomes above all else.

In this paper, Intellyx analyst Charles Araujo explains:

  • Why traditional approaches to APM are struggling to keep up with criticality creep   
  • How new approaches are emerging that enable organizations to apply APM-like capabilities to their entire application stack   
  • How the combination of machine learning and complete infrastructure and application context may be the key to reimagining APM in the  AIOps era