News: Unleash the power of data with HPE Alletra

Unleash the power of data with HPE Alletra


In 2021 alone, 75 Zettabytes (ZB) of data was created, amplifying the markets need for agile infrastructure that can accommodate this data growth. Currently clients are using cloud applications (Salesforce), cloud platforms (SAP® Cloud), or cloud infrastructure (AWS) to supplement their on-premises infrastructure, however, they see the disparity in the operational model for cloud resources and on-premises resources and want the same agility and operational flows that the cloud provides. To address this, HPE Alletra is delivering cloud-native and cloud-optimized solutions that are managed from the cloud to provide that same agility and operational excellence - whilst having infrastructure on-premises.

Every organisation wants to unleash the power of data to drive digital transformation but fragmented data management tools, manual processes, and infrastructure silos spanning edge to cloud are causing limitations. Customers across industries are struggling with the complexity of managing data and infrastructure, and this not only creates a roadblock to innovation and agility, but it also drives business risk. Today it is only getting harder as data continues to grow, apps continue to evolve, and infrastructure continues to spread edge-to-cloud. Impacting organisations across the board.


For the IT administrators, this complexity means constantly fighting fires across the IT stack from storage to applications and wasted time deploying, provisioning, managing, and upgrading data infrastructure across its lifecycle. With data growth from edge-to-cloud, it’s only making it harder for IT teams to manage their day-to-day tasks.

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For the data innovators, this complexity makes it challenging to get data into the hands of the developers, analysts, and data scientists who create value from data. Data access and security are also at odds as streamlining access comes at a cost to accountability, which slows down innovation and decreases data utilization. For IT executives, this complexity creates business risk and resource waste as there is a lack of visibility into the data that has been stored, copied, and utilised across data infrastructure. With so much data across organisations, the seemingly simple questions of ‘what am I storing’, ‘why am I storing it’, and “how long do I need to store it” go unanswered – creating compliance and governance risk, and inefficient storage use.  


The data infrastructure you choose and evolve to needs to be built with a cloud data architecture in mind, meaning that it needs to deliver a cloud operating model right from the start, both operationally and financially. This is fundamental to a cloud-native data infrastructure because of the overwhelming scale of data, clients need the basic building block of intelligence to help them keep up with the growing need for data management. Based on billions of data points and heuristics from storage to virtual machines this can mitigate or eliminate infrastructure issues and this intelligence is a must to power cloud operations. Once the infrastructure provides the ideal operating environment, clients can automate their data infrastructure to align with their business growth. With the new resources available, clients are also now able to operate in minutes versus days, weeks, or months.

Next up, clients need to bear in mind that their data infrastructure must be built for any application with no trade-offs, no silos, no inefficiencies and most importantly delivering the best economics. The infrastructure needs to support traditional and modern applications while also providing data mobility and operations across a hybrid cloud environment. By doing this, clients will have one unified experience across their public and private cloud—ensuring their data does not land up stranded within silos. To complete this solution, their infrastructure needs to be consumed as a service for the ultimate financial agility, paying only for the resources they use - when they use them. 


HPE Alletra, can maximise agility with the cloud experience, run any application without compromise, and free up data for hybrid cloud.

Paseka Selepe

Business Development Manager


Data Services Cloud Console is transforming storage and data management with three key customer outcomes:

Unifying Data Management

This provides the foundation for cloud data services that will enable a streamlined experience for data managers and data innovators to access, protect, search, and mobilise data across edge-to-cloud data infrastructure.

Enabling a single Cloud Operating Experience

By providing this for data infrastructure, it eliminates complexity by unifying infrastructure management silos with a cloud-managed single pane of glass - allowing one consistent experience across the edge to cloud bringing enterprises cloud agility wherever their data lives.

Accelerate Innovation

Data Services Cloud Console will accelerate data-driven innovation providing a platform for speeding up application development lifecycles, empowering developers with streamlined access to production data, securely and instantly with self-service.  

Data Services Cloud Console is a highly extensible, API-first control plane that provides a fully programmable universal API across edge to cloud infrastructure. This solution facilitates the ability for an organisation to automate their infrastructure, automate provisioning, automate data management, and automate access to data at cloud speed and scale through a minimal lines of code. Customers can access the API via their automation tool of choice (Ansible, Chef, or even PowerShell), platform as a service (PAAS) management layer (VMware/Anthos/Ezmeral), HPE GreenLake cloud services, and/or data management applications that are HPE-built, with the possibility of being partner delivered in the future.

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