HPE Discover Frankfurt 2022 kicked off this week by announcing that HPE GreenLake for Private Cloud Enterprise will be enhanced with a new application, analytics, and developer services. The updates to the edge-to-cloud platform will enable organizations to drive a data-first modernization strategy for production workloads across hybrid cloud environments.
HPE Discover Frankfurt 2022 kicked off this week by announcing that HPE GreenLake for Private Cloud Enterprise will be enhanced with a new application, analytics, and developer services. The updates to the edge-to-cloud platform will enable organizations to drive a data-first modernization strategy for production workloads across hybrid cloud environments.
HPE GreenLake for Private Cloud Enterprise delivers an automated, flexible, scalable, and fully managed enterprise-grade private cloud. The platform, developed for cloud-native and traditional applications, HPE GreenLake for Private Cloud Enterprise, supports self-service deployment of bare metal, virtual machines, and container workloads from a common pool of infrastructure optimized for price and performance. The enhancements announced by HPE include the following:
HPE GreenLake for Private Cloud Enterprise is generally available in 52 countries worldwide and for partners to sell via the HPE GreenLake for Partners program. HPE GreenLake for Data Fabric and HPE Ezmeral Unified Analytics is now available through the new HPE Ezmeral early access program.
According to Vishal Lall, senior vice president, and general manager HPE GreenLake Cloud Services Solutions:
“HPE GreenLake for Private Cloud Enterprise is a ready, out-of-the-box private cloud with a completely modern experience, delivering optimized performance, open choice, and low and predictable TCO, which is resonating with organizations across every industry. Customers recognize the importance of a hybrid cloud operating model for their digital transformation, and HPE GreenLake for Private Cloud Enterprise is the only solution that brings the best hybrid cloud capabilities from edge to core and across multiple clouds, delivered as a cloud service.”
HPE expanded its partner ecosystem offerings on HPE GreenLake Marketplace for DevOps, AI/ML, analytics, data protection, and security by including the new HPE GreenLake for Red Hat® OpenShift® Container Platform and the recently announced HPE GreenLake for VMware.
HPE GreenLake for Red Hat OpenShift Container Platform will be available in calendar Q1.
HPE also introduced an early access program for HPE GreenLake for Data Fabric and HPE Ezmeral Unified Analytics. With the early access program, developers can try the data fabric and analytics service before release, testing new features and capabilities.
HPE GreenLake for Data Fabric modernizes analytics and data management, unifying different data types across on-premises, multi-cloud, and edge to deliver seamless access to a trusted data source. HPE Ezmeral Unified Analytics provides a cloud solution that supports open-source tools to address the entire lifecycle of data engineering, analytics, and data science projects.
Go to HPE early access program for more information or to sign up.
The HPE GreenLake platform continues to expand, providing customers and partners with a unified hybrid experience and easy access to more than 70 cloud services. HPE GreenLake currently supports over 65,000 customers, powers over two million connected devices, and manages more than one exabyte of data with customers worldwide. Organizations benefit from one platform from which to automate, orchestrate, and run their hybrid cloud strategy.
In March, HPE announced a unified operational experience providing a simplified view and access to all cloud services, including capabilities at the edge, including integration of HPE GreenLake platform with Aruba Central. HPE announced additional advancements in June, including enhanced security, a new developer portal and tools, and deeper capabilities to manage assets and workloads at scale. Go to HPE GreenLake platform to take a virtual test drive.
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