Traditionally, Application Performance Management (APM) is usually associated with solutions that instrument application code. There are two fundamental limitations with such associations. If instrumenting the code is what APM is all about, then APM is applicable only to homegrown applications for which access to code is available ...
Appnomic Systems Managing Director and CEO, Padmanabhan (Paddy) Desikachari, was awarded US Patent 8903757 for its Proactive Information Technology Infrastructure Management solution. The invention relates to the proactive management of information technology infrastructure components based on an analysis of load responsive behavior of the infrastructure components in an electronic environment. This patent recognizes the uniqueness of the underlying technology of Appnomic’s performance management solutions in cloud, hybrid, and enterprise IT environments.
“This is an important technical achievement for our team and a valuable asset for Appnomic, one that has been in the making for over five years now,” said Paddy. “It reflects the significant capital investment we have made in advancing our technology and is the first of several patents in various stages of completion. We will continue enhancing our technology and increasing our company’s value in the months and years to come through additional innovation and customer deployments,” he added.
Appnomic has been using the now patented technology in its AppsOne product under the commercial name of Application Behavior Learning (ABL). ABL is a powerful application of “Big Data” analytics applied to the enormous and growing volume of metrics in the complex application environments of enterprise and cloud IT infrastructures.
The core of ABL is the analytics approach that applies a number of new cluster, regression, and machine learning analytical techniques to correlate three dimensions of metrics including:
- Real end-user application transaction experience (e.g., responsiveness, slowness, availability)
- IT infrastructure key performance indicators (KPIs – like CPU utilization, database IOPs, active connections, etc.)
- Naturally occurring load or Application Usage Patterns (AUPs)
Different from other APM or analytics solutions, the resulting correlations are not primarily time based (like comparing last Friday to this Friday) or primarily event driven – both types of conditions the ABL approach will also capture. ABL’s correlations are driven by application usage patterns - actual usage patterns of real users that AppsOne identifies and which reflect the volumes of concurrently occurring transactions that are contending for underlying infrastructure component resources. It is this unique approach of starting at the application layer and drilling down into the infrastructure which enables ABL to better capture early anomalies or deviations from healthy performing conditions – often leading to prevention of IT incidents.
“This patent is strategic to Appnomic and a huge competitive advantage,” continued Paddy. “Our technology is now protected from competitive infringement so our clients and partners can proceed with even greater confidence as we take their IT and business operations to a new level in this new world of complexity in IT.”