Acta Scientific Computer Sciences

Research Article Volume 6 Issue 7

Enhancing High Availability in Data Protection Systems

Nizam Khan*

IT Storage and Data Protection, Big Sky Global LLC, India

*Corresponding Author: Khan, IT Storage and Data Protection, Big Sky Global LLC, India.

Received: June 10, 2024; Published: June 18, 2024

Abstract

High availability (HA) in data protection is crucial for maintaining continuous access to critical data, even amidst hardware or software failures. However, existing methods often face challenges in integration with new technologies such as Docker containers. This study addresses these drawbacks by proposing a robust framework that includes redundant hardware setups, automated failover mechanisms, and disaster recovery solutions, with a particular focus on cloud-based services. The goal is to minimize downtime and data loss, thereby ensuring data integrity and availability. By incorporating leading solutions such as Veritas NetBackup, this paper provides a comprehensive approach to enhancing HA in modern IT environments.
High availability in data protection is crucial for maintaining continuous access to critical data, even in the face of hardware or software failures. This paper discusses a comprehensive array of strategies and technologies employed to achieve high availability in data protection systems. These include redundant hardware setups, automated failover mechanisms, disaster recovery solutions, and the integration of cloud-based services [4]. The primary goal is to minimize downtime and data loss, thus providing a robust framework for data integrity and availability. We also explore the role of leading solutions such as Veritas NetBackup in enhancing high availability in modern IT environments.

Keywords: High Availability (HA); Digital Landscape

References

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Citation

Citation: Nizam Khan., et al. “Enhancing High Availability in Data Protection Systems".Acta Scientific Computer Sciences 6.7 (2024): 54-63.

Copyright

Copyright: © 2024 Nizam Khan., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




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Acceptance rate35%
Acceptance to publication20-30 days

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