Tech & Work
IBM commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study and examine the potential return on investment (ROI) enterprises may realize by deploying IBM Cloud Application Performance Management (APM). The purpose of this study is to provide readers with a framework to evaluate the potential financial impact of IBM Cloud APM on
To better understand the benefits, costs, and risks associated with this investment, Forrester interviewed and surveyed several customers with experience using IBM Cloud APM. IBM Cloud APM detects and isolates problems within application and infrastructure environments, providing all the capability of IBM Monitoring and adding user experience monitoring, transaction tracking, and expanded coverage for application resource monitoring.
Prior to using IBM Cloud APM, the interviewed and surveyed organizations were using a competitive monitoring tool. This prior tool provided resource monitoring and some application monitoring, but it was difficult to use and maintain, and it lacked key functionality to enhance monitoring capability and keep up with newer workloads. This resulted in: reduced visibility into the health and performance of the environment; longer and more frequent outages; and a reactive approach to resolving performance issues. These problems were exacerbated by the growing complexity of the environment. With the increasing focus on application performance and user experience in the age of the customer, these organizations sought a better monitoring solution that could reduce the risk to their brand from downtime and poor application performance.
With IBM Cloud APM, these organizations improve their monitoring coverage of their entire environment through a single console. Organizations use performance threshold alerting and analytics to prevent incidents before they occur. IBM Cloud APM’s application topology, transaction tracking, and end-user experience monitoring, provide a detailed view into user experience, allowing for fast problem identification. Deep dive diagnostics and log search help developers quickly diagnose and fix application performance issues. The overall result is improved application availability, improved application response time, and greater confidence in application performance and user experience for key mission critical applications.