Application performance monitoring and prediction

This research paper demonstrates the development of methodologies for application monitoring and continuous performance assurance. The proposed approach is derived from the classical continuous improvement concept e.g. PDCA (Plan-Do-Check-Act) cycle, which has been adapted to most of the real industrial and production environments. The approach consists of four phases : Monitor, Analysis, Recommendations and Action (MARA); these phases are summarized into two segmented information panel viz. Application Health Dashboards and Corrective Action Dashboard. It allows customizing the dashboard as per the level of visibility required in order to improve the monitoring process. This paper also includes a case study of monitoring the application performance in live environment. The case study discussed in the paper shows the application of basic principles for continuous performance improvement while deploying APM solution for monitoring and prediction of performance trends. The proposed approach lifts the possibility to apply this methodology to wide scale of enterprises applications for domains such as Telecom, Banking, Insurance, Ecommerce, Healthcare etc and most importantly to the mission critical enterprise applications, which actually have direct impact on organization´s potential to drive business revenue. Finally the results demonstrate the benefits obtained by the implementation of the proposed methodology, as it helps IT organizations cut cost, reduce risk and achieve business goals.