Appnomic Gains First Patent
December 05, 2014
Share this

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.”

Share this

The Latest

January 19, 2018

Confidence in satisfying and supporting core IT has diminished due in part to a strain on declining IT budgets and initiatives now progressing beyond implementation into production mode, according to TEKsystems' annual IT Forecast research ...

January 18, 2018

Making predictions is always a gamble. But given the way 2017 played out and the way 2018 is shaping up, odds are that certain technology trends will play a significant role in your IT department this year ...

January 17, 2018

With more than one-third of IT Professionals citing "moving faster" as their top goal for 2018, and an overwhelming 99 percent of IT and business decision makers noticing an increasing pace of change in today's connected world, it's clear that speed has become intrinsically linked to business success. For companies looking to compete in the digital economy, this pace of transformation is being driven by their customers and requires speedy software releases, agility through cloud services, and automation ...

January 16, 2018

Looking back on this year, we can see threads of what the future holds in enterprise networking. Specifically, taking a closer look at the biggest news and trends of this year, IT areas where businesses are investing and perspectives from the analyst community, as well as our own experiences, here are five network predictions for the coming year ...

January 12, 2018

As we enter 2018, businesses are busy anticipating what the new year will bring in terms of industry developments, growing trends, and hidden surprises. In 2017, the increased use of automation within testing teams (where Agile development boosted speed of release), led to QA becoming much more embedded within development teams than would have been the case a few years ago. As a result, proper software testing and monitoring assumes ever greater importance. The natural question is – what next? Here are some of the changes we believe will happen within our industry in 2018 ...

January 11, 2018

Application Performance Monitoring (APM) has become a must-have technology for IT organizations. In today’s era of digital transformation, distributed computing and cloud-native services, APM tools enable IT organizations to measure the real experience of users, trace business transactions to identify slowdowns and deliver the code-level visibility needed for optimizing the performance of applications. 2018 will see the requirements and expectations from APM solutions increase in the following ways ...

January 10, 2018

We don't often enough look back at the prior year’s predictions to see if they actually came to fruition. That is the purpose of this analysis. I have picked out a few key areas in APMdigest's 2017 Application Performance Management Predictions, and analyzed which predictions actually came true ...

January 09, 2018

Planning for a new year often includes predicting what’s going to happen. However, we don't often enough look back at the prior year’s predictions to see if they actually came to fruition. That is the purpose of this analysis. I have picked out a few key areas in APMdigest's 2017 Application Performance Management Predictions, and analyzed which predictions actually came true ...

January 08, 2018

The annual list of DevOps Predictions is now a DEVOPSdigest tradition. DevOps experts — analysts and consultants, users and the top vendors — offer predictions on how DevOps and related technologies will evolve and impact business in 2018 ...

January 05, 2018

Industry experts offer predictions on how Network Performance Management (NPM) and related technologies will evolve and impact business in 2018 ...