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Appnomic Gains First Patent

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.”

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Appnomic Gains First Patent

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.”

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An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...

In March, New Relic published the State of Observability for Media and Entertainment Report to share insights, data, and analysis into the adoption and business value of observability across the media and entertainment industry. Here are six key takeaways from the report ...

Regardless of their scale, business decisions often take time, effort, and a lot of back-and-forth discussion to reach any sort of actionable conclusion ... Any means of streamlining this process and getting from complex problems to optimal solutions more efficiently and reliably is key. How can organizations optimize their decision-making to save time and reduce excess effort from those involved? ...

As enterprises accelerate their cloud adoption strategies, CIOs are routinely exceeding their cloud budgets — a concern that's about to face additional pressure from an unexpected direction: uncertainty over semiconductor tariffs. The CIO Cloud Trends Survey & Report from Azul reveals the extent continued cloud investment despite cost overruns, and how organizations are attempting to bring spending under control ...

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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

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