Pune, India

Chandrakant Agarkar

This inventor holds 2 USPTO granted patents and 2 published patent applications. Top assignee: Comm Vault Systems, Inc.. Active years: 2026.

USPTO Granted Patents = 2 

Average Co-Inventor Count = 12.0

ph-index = 1


Company Filing History:


Years Active: 2026

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2 patents (USPTO):Explore Patents

Title: Innovations by Chandrakant Agarkar

Introduction

Chandrakant Agarkar is a notable inventor based in Pune, India. He has made significant contributions to the field of data protection, particularly in the context of Kubernetes environments. His innovative approach addresses critical challenges faced by users of Kubernetes clusters.

Latest Patents

Chandrakant holds a patent for "Kubernetes data protection using a containerized file system data agent." This invention is crucial because Kubernetes clusters can be ephemeral, making it essential to back up in-cluster data to external storage. Traditional solutions relied on the cluster's API server for data transfer, which posed resiliency issues and could hinder backup performance. His solution offers a more efficient and scalable method that bypasses the API server, incorporating robust error checking, log capture, and real-time job monitoring. This approach utilizes a 'sponsor' data agent outside the cluster and deploys specialized backup resources within the cluster during backup jobs, enhancing performance and resilience.

Career Highlights

Chandrakant Agarkar is currently employed at Comm Vault Systems, Inc., where he continues to innovate in data protection technologies. His work has positioned him as a key figure in the development of solutions that enhance data resilience in cloud environments.

Collaborations

Chandrakant collaborates with talented professionals such as Amit Mitkar and Jun H Ahn, contributing to a dynamic team focused on advancing data protection methodologies.

Conclusion

Chandrakant Agarkar's contributions to Kubernetes data protection exemplify the importance of innovation in technology. His patent reflects a deep understanding of the challenges in modern data management and offers a promising solution for enhancing data resilience.

Profile summary based on public USPTO records.
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