Dell Products Inc.

Emc IP Holding Company LLC

Madhusudhana Reddy Chilipi

Hung The Dinh

Vinod Kumar

Sabu K Syed

Panguluru Vijaya Sekhar

Manikandan Pammal Rathinavelu

Jatin Kamlesh Thakkar

Tousif Mohammed

Reddeppa Kollu

Venkat S Ramachandran

Nithiyanandham Tamilselvan

John Kenneth Maxi

Nikhil Reddy Kota

Chakradhar Kommana

Prasad Ts Rao

Ravi R Shastri

Venkat Allaka

Puttaraju ChikkannaBommanna

Jyothi K R

Anu Bala Thakur

Navin Kumar N

Nitya Seth

Abhishek Joshi

Nagakalyan Kambapu

Zishnu Deb Das

An information handling system includes a repository that stores a pre-production validation suite and a production validation suite. The pre-production validation suite includes first validation factors, and the production validation suite includes second validation factors. A processor may deploy an application in a pre-production environment, and validate the application in the pre-production environment using the pre-production validation suite. If the application passes the pre-production validation suite, then the processor may deploy the application in a production environment. The processor also may validate the application in the production environment using the production validation suite, assign a score associated with each one of the first validation factors and each one of the second validation factors, and generate a report based on the score associated with each one of the first validation factors and each one of the second validation factors.

System and method for validating cloud-native applications for a production-ready deployment

A method is disclosed including: obtaining one or more values of a system metric, the system metric being associated with a hardware resource of a computing device; detecting whether the system metric is approaching a threshold, the threshold being associated with a key performance indicator (KPI) of the computing device, the detecting being performed based on the obtained values of the system metric; calculating a predicted value of the system metric in response to detecting that the system metric is approaching the threshold, the predicted value of the system metric being calculated by using a linear predictor that is trained using unevenly-sampled training data; detecting whether the predicted value of the system metric exceeds the threshold; and reconfiguring the computing device to prevent the system metric from reaching the predicted value in response to detecting that the predicted value exceeds the threshold.

Time series forecasting classification

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Leander, TX, United States of America

Madhusudhana Reddy Chilipi