Bengaluru, India

Ravi Anapindi


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2018

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1 patent (USPTO):Explore Patents

Title: Innovations by Ravi Anapindi in Storage Transition Technology

Introduction

Ravi Anapindi is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of storage technology, particularly in the area of transition tools for storage objects. His innovative approach has led to the development of a unique patent that enhances the efficiency of data transitions.

Latest Patents

Ravi Anapindi holds a patent titled "Calculating cutover time in a copy-free transition of storage objects." This patent describes a transition tool that estimates the cutover time required for a copy-free transition of storage objects from a source storage system to a destination storage system. The tool effectively determines the number of storage objects of each type that need to be transitioned. It measures operation times for both the source and destination systems, allowing for accurate estimations of export and import durations. Ultimately, the total cutover time can be calculated from these durations, streamlining the transition process.

Career Highlights

Ravi Anapindi is currently employed at NetApp, Inc., where he continues to innovate in the field of data storage solutions. His work focuses on improving the efficiency and reliability of storage transitions, which is crucial for businesses that rely on seamless data management.

Collaborations

Ravi collaborates with talented professionals in his field, including Vijaya Bhaskar Reddy C H and Vani Vully. Their combined expertise contributes to the advancement of storage technology and the successful implementation of innovative solutions.

Conclusion

Ravi Anapindi's contributions to storage technology through his patent and work at NetApp, Inc. highlight his role as a key innovator in the industry. His efforts in developing tools for efficient data transitions are paving the way for improved data management practices.

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