

The HPE GreenLake edge-to-cloud platform enables customers to accelerate data-first modernization and provides cloud services that can run on-premises, at the edge, in a colocation facility, and in the public cloud.
HPE GreenLake has 65,000 customers, powers more than two million connected devices and manages more than one exabyte of data under management with customers worldwide. These organizations benefit from one control plane from which to automate, orchestrate, and run their hybrid cloud strategy.
The scalable, pay-as-you-go HPE GreenLake platform also delivers robust security, compliance, and control, and supports a broad partner ecosystem – including channel partners, distributors, independent software vendors, public cloud providers, service providers, and system integrators. For more information on HPE GreenLake, please visit: GreenLake.HPE.com

Uncover insights hidden in your data from edge to cloud
Data is the life force and the fuel driving modern businesses. HPE has a data-first strategy that can bring about the data-first transformation your business needs, enhancing your ability to uncover insights in data across edge-to-cloud.
Uncovering the insights hidden in your data can give your business a significant competitive advantage. This paper lays out a strategic path to create a single, unified data source that can fuel analytics insights and AI/ML initiatives at scale. Learn how HPE can help you:
- Uncover insights in your data with data-first modernization
- Create a single, unified data source for analytics
- Move AI/ML from pilot to production
- Achieve flexibility and freedom
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Reduce complexity and free up operational resources for innovation
Businesses of all sizes, in every industry, are operating in a hybrid, edge-to-cloud world. To overcome cloud challenges, organizations require a hybrid platform capable of providing them with a single place from which they can monitor and manage everything across their IT landscape.
Innovation means coming up with new ideas, new products, and new ways to get things done. But in order to innovate, organizations need to first solve the challenges that are in front of them today. For many, those challenges lie in managing their hybrid environment effectively and efficiently. In this eBook, learn how HPE GreenLake edge-to-cloud platform helps you:
- Manage your entire hybrid environment
- Free IT resources from repetitive tasks
- Enable teams to innovate and plan for the future
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Using zero trust to build secure architectures for an edge-to-cloud world
As the theft of digital information has become a pervasive global threat, cybersecurity has moved to center stage. With the right mix of integrated security design and constant monitoring of your users,devices, systems, apps, and data, you can improve your security posture and prevent cyberattacks before they impact your organization
By embracing a data-driven and zero-trust approach holistically across your organization, you canmake a cultural shift to prioritize cybersecurity as a critical factor in your data-first modernization efforts. In this paper, HPE defines “zero trust” and explains how it can empower organizations with:
- 24x7 data protection
- Comprehensive visibility across distributed landscapes
- Granular control of data access rules and policies.
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Yes, you can turn back time with continuous data protection
Key take-aways:
- Continuous data protection is a system that constantly monitors changes in data, effectively letting you turn back time.
- Restoring data to a certain point in time, before an attack, is a quick and easy process
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Why balancing business priorities is essential to optimizing edge initiatives
Key take-aways:
- The benefits of edge computing are now within reach, and you can improve operations and opportunities through its adoption.
- Empower your workforce and keep your data secure with VDI.
- Look for flexible, adaptive use models with configurable capabilities.
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5 ways a data fabric generates value – no matter where your data is located
Key take-aways:
- Simplify development and management of analytics and AI
- Enable users to access and use distributed data effectively
- Optimize AI models
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Hybrid cloud offers the most flexible path to cloud adoption, say technology leaders
Key take-aways:
- Organizations look at their infrastructure holistically, managing the entire environment as a single entity.
- Hybrid offers a more customized approach, allowing you place each workload in the environment that makes the most sense for it.
- Simplicity may be nice, but sophistication is a necessity.
- Hybrid cloud offers maximum flexibility with minimal risk
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A survey of 900 tech leaders reveals hybrid cloud is the most effective, long-term strategy
IT decision-makers discuss:
- What types of cloud solutions should you utilize?
- How will that change over the next five years?
- What are the pros and cons of hybrid cloud adoption?
- What advice do you have for CIOs and CTOs embarking on a cloud migration?
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Accelerate insights and results by acting on data at the edge
Connect data across your distributed enterprise with HPE GreenLake and you can make decisions at the pace of business, in real time. Putting compute to work where data lives speeds analytics and provides resiliency. See how real-time insights at the edge can promote continual operation and better business outcomes in widely distributed healthcare and medical centers, international hotel organizations, and massive sports arenas.
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Bring the cloud experience to multigenerational IT
IT modernization presents extra challenges in a multi-gen IT environment. Moving legacy workloads to public cloud can be costly, complex, and for some workloads unnecessary – not all data and apps belong in the cloud. How can you bring the cloud experience to all workloads wherever they reside? And what can you do with legacy systems that still have some life in them? A trusted partner like HPE can help you transform legacy IT sustainably and cost-effectively from edge to cloud with a unified platform that simplifies data management.
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Transforming to hybrid cloud? It’s time to prioritize security.
In just a few years, hybrid cloud has become the dominant operating model for IT architecture. Yet securing those workloads has become more challenging than ever. One reason for this shift is the growing volume and sophistication of cybersecurity threats. Another is the increased complexity of hybrid cloud environments. To tackle this challenge, enterprises need to update their controls, governance, and skill sets.
Key take-aways:
• Make security, for both on-premises systems and those in the cloud, a key priority
• Learn six essential steps to transform your security from a barrier to an innovation accelerator
• Focus on cybersecurity agility to cope with ever-changing threats
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Simplify data management and turn your data into intelligence
Conventional data management systems create data silos and complexity that are at odds with the need for agility in a global enterprise. As a result, data management can’t keep pace with business requirements. Learn how a hybrid cloud-based solution (based on self-service, on-demand availability, and easy to-move apps and data) can simplify operations and data management so you can turn your data into intelligence.
Key take-aways:
• Data must be: available and reliable 24x7x365 (seamless access edge to core), protected with enterprise grade governance and security, and accessible to those who need it and their applications
• You need one view of all your data, no matter where its located (edge, on-premises, cloud)
• Hybrid cloud makes your applications and data more available, reliable, and accessible, all while maintaining security.
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Are you a leader or a laggard when it comes to edge technology?
The edge is exploding with useful data created by cameras and recording devices, sensors, online customer interactions, and more. Collecting the data is easy. But the companies that can truly harness and capitalize on that data will lead the way forward. Learn how the right edge computing strategy can help drive AI success and boost your bottom line.
Key take-aways:
• The edge — bursting with useful data — is the future.
• Organizations that embrace the edge faster will enjoy big advantages.
• How to design an intelligent edge strategy.
• An as-a-service model can help overcome hurdles.
• AI and machine learning make edge data actionable – now!