Everpure Enhances Data Management for Red Hat OpenShift Users with New Features

Everpure and Red Hat OpenShift: A Game-Changer in Data Management



Everpure, a leading name in storage solutions (NYSE: P), recently announced exciting enhancements for users of Red Hat OpenShift. The advancements include new features designed to simplify the complexities of data management and storage for enterprises operating across various platforms, particularly focusing on artificial intelligence (AI) workloads, containers, and virtual machines (VMs).

Managing different platforms can be a cumbersome task for enterprises, particularly as they attempt to scale existing applications and adapt to emerging technology needs. Greg Muscarella, General Manager of Portworx, highlights that organizations should not be forced to juggle multiple systems to manage their workloads. With the integration of Portworx and Red Hat, companies can now handle storage and disaster recovery directly from the OpenShift user interface, thereby simplifying infrastructure management.

Building an AI-Ready Infrastructure



As the demand for AI capabilities continues to surge, companies are focusing on evolving their data infrastructures to ensure they meet contemporary performance expectations. Adopting systems that offer efficiency and automation right within Kubernetes allows organizations not only to meet immediate performance requirements but also address the pressing issues of data sovereignty and security.

Steve Gordon, the Senior Director of Product Management for Hybrid Cloud Platforms at Red Hat, emphasizes that Red Hat OpenShift serves as a crucial backbone for enterprise transformation, enabling consistent management of workloads in a hybrid application platform. The integration of Portworx's functionalities—spanning storage management, data protection, and disaster recovery—into Red Hat OpenShift provides a seamless and unified experience for enterprises as they modernize their infrastructures for AI, containers, and VMs.

New Features in Portworx Plugin 2.2



The latest version, Portworx Plugin 2.2, directly incorporates advanced storage and data management capabilities into the Red Hat OpenShift interface. This move eliminates the previous reliance on complicated command-line tools, making it easier for teams to monitor and safeguard their data.

Moreover, with its integrated support for Red Hat Advanced Cluster Management, users can effectively orchestrate disaster recovery processes for both VMs and containers across different sites. This tailored approach not only streamlines operations but also enhances organizational resilience against data loss.

Portworx is also looking to modernize edge computing infrastructures through its Portworx for Edge solution. This service, compatible with Red Hat OpenShift, allows organizations to ensure their data remains local and compliant, featuring automated protection and encryption even for smaller Kubernetes clusters, thereby extending enterprise-grade management capabilities.

The newly introduced solutions—which include Portworx Enterprise 3.6, Portworx Plugin 2.2, and Portworx Backup 2.11—are now readily available. This suite of tools is set to be a game-changer for organizations looking to streamline their operations and maximize data management efficiency.

About Everpure



Everpure stands at the forefront of the data management industry, equipping organizations with the tools necessary to harness the potential of their data effectively. Only through a combination of accessibility, intelligence, and performance can businesses thrive in the AI age. Everpure's relentless focus on reducing energy consumption while scaling performance has resulted in some of the highest customer satisfaction ratings, making it a trusted partner for globally recognized enterprises.

In conclusion, the collaboration between Everpure and Red Hat OpenShift is set to redefine how businesses manage data in various environments. The newly launched features simplify operations and significantly enhance the ability of organizations to adapt to the fast-paced technological landscape of AI and beyond.

Topics Business Technology)

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