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HPE Offers New Cloud Services for the Edge-to-Cloud Platform

HPE Offers New Cloud Services for the Edge-to-Cloud Platform to enable the enterprises to achieve efficient and fast data management

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DQC Bureau
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Cloud Services

HPE has announced a series of new cloud services for the HPE GreenLake edge-to-cloud platform, providing customers unmatched capabilities to power digital transformation for their applications and data. This represents HPE’s entry into two large, high-growth software markets – unified analytics and data protection. Together, these innovations further accelerate HPE’s transition to a cloud services company, and give customers greater choice and freedom for their business and IT strategy, with an open and modern platform that provides a cloud experience everywhere. The new offerings, which add to a growing portfolio of HPE GreenLake cloud services, allow customers to innovate with agility, at lower costs, and include the following -

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  • HPE GreenLake for analytics – open and unified analytics cloud services to modernize all data and applications everywhere – on-premises, at the edge, and in the cloud
  • HPE GreenLake for data protection – disaster recovery and backup cloud services to help customers take ransomware head-on and secure data from edge-to-cloud
  • HPE Edge-to-Cloud Adoption Framework and automation tools – a comprehensive, proven set of methodologies expertise, and automation tools to accelerate and de-risk the path to a cloud experience everywhere

“The big data and analytics software market, which IDC predicts will reach $110 billion by 20231, is ripe for disruption, as customers seek a hybrid solution for enterprise datasets on-premises and at the edge,” said Antonio Neri, president and CEO, at HPE. “Data is at the heart of every modernization initiative in every industry, and yet organizations have been forced to settle for legacy analytics platforms that lack cloud-native capabilities, or force complex migrations to the public cloud that require customers to adapt new processes and risk vendor lock-in. The new HPE GreenLake cloud services for analytics empower customers to overcome these trade-offs and gives them one platform to unify and modernize data everywhere. Together with the new HPE GreenLake cloud services for data protection, HPE provides customers with an unparalleled platform to protect, secure, and capitalize on the full value of their data, from edge to cloud.”

HPE GreenLake for analytics enable customers to accelerate modernization initiatives, for all data, from edge to cloud. Available on the HPE GreenLake edge-to-cloud platform, the new cloud services are built to be cloud-native, and avoid complex data migrations to the public cloud by providing an elastic, unified analytics platform for data and applications on-premises, at the edge and in public clouds. Now analytics and data science teams can leverage the industry’s first2 cloud-native solution on-premises, scale-up Apache Spark lakehouses, and speed up AI and ML workflows. The new HPE GreenLake cloud services include the following:

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  • HPE Ezmeral Unified Analytics: Industry’s first2 unified, modern analytics and data lakehouse platform optimized for on-premises deployment and spans edge to cloud.
  • HPE Ezmeral Data Fabric Object Store: Industry’s first2 Kubernetes-native object store optimized for analytics performance, providing access to data sets edge to cloud.
  • Expanding HPE Ezmeral Partner Ecosystem: The HPE Ezmeral Marketplace delivers a rapidly growing set of validated full-stack solutions from ISV partners that enable customers to build their analytics engines. This includes new support from NVIDIA, PepperData and Confluent, and open-source projects such as Apache Spark. HPE has added 37 ISV partners to the HPE Ezmeral Marketplace since it was first introduced in March 2021, delivering additional ecosystem stack support of core use cases and workloads for customers, including big data and AI/ML use cases.

HPE has entered the rapidly growing data protection-as-a-service market with HPE GreenLake for data protection, new cloud services designed to modernize data protection from edge to cloud, overcome ransomware attacks, and deliver rapid data recovery.

  • HPE Backup and Recovery Service: Backup as a service offering that provides policy-based orchestration and automation to backup and protect customers’ virtual machines across hybrid cloud, and eliminates the complexities of managing backup hardware, software, and cloud infrastructure.
  • HPE GreenLake for Disaster Recovery: Following the close of the Zerto acquisition, HPE plans to deliver Zerto’s industry-leading disaster recovery as a service through HPE GreenLake, to help customers recover in minutes from ransomware attacks. Zerto provides best-in-class restore times<4> without impacting business operations for all recovery scenarios.
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HPE also announced a proven set of methodologies and automation tools to enable organizations to take a data-driven approach to achieve the optimal cloud operating model across all environments -

  • The HPE Edge-to-Cloud Adoption Framework leverages HPE’s expertise in delivering solutions on-premises, to meet a broad spectrum of business needs for customers across the globe. HPE has identified several critical areas that enterprises should evaluate and measure to execute an effective cloud operating model. These domains, which include Strategy and Governance, People, Operations, Innovation, Applications, DevOps, Data, and Security, form the core of the HPE Edge-to-Cloud Adoption Framework.
  • The cloud operational experience is enhanced with the industry’s leading AI Ops for infrastructure<5>, HPE InfoSight, that now constantly observes applications and workloads running on the HPE GreenLake edge-to-cloud platform. The new capability, called HPE InfoSight App Insights, detects application anomalies, provides prescriptive recommendations, and keeps the application workloads running disruption free. HPE CloudPhysics delivers data-driven insights for smarter IT decisions across edge-to-cloud, enabling IT to optimise application workload placement, procure right-sized infrastructure services, and lower costs.

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