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A New Vision for Storage and Data Management: DataOps

IT is at an inflection point. The combination of cloud computing, exponential data growth and artificial intelligence is forcing organizations to fundamentally change how they manage data and infrastructure across the board, with particular regard to storage. The imperative is to shift away from the concept of managing storage and instead focus on how to unleash the power of your data to accelerate digital transformation.

This shift requires a new architectural approach that eliminates storage and data management silos and complexity through data-centric policies and automation, cloud-native control and operations, and AI-driven insights and intelligence. This innovative vision for a transformed data experience that radically simplifies data and infrastructure management is being pioneered by Hewlett Packard Enterprise under a new architectural blueprint called Unified DataOps. Here’s what you need to know.

Pivoting from Storage to Data Management
If you’re in IT, it’s time to get out of the business of managing storage. It is expensive, resource draining and plagued by complexity with multiple silos, across diverse storage resources, to support the variety of apps a typical enterprise runs in a distributed environment. Traditional storage is still a manual, admin-driven process that requires specialized domain expertise to manage its lifecycle, from install to upgrade. This continues to leave IT professionals fighting fires and unable to innovate for their organizations—and data growth from edge to cloud is only making it harder for IT.

What you need instead is an architectural model where storage management is abstracted and basically disappears. The goal is to strip away all the traditional management work across the lifecycle of storage, from deployment to provisioning to global management. Rather than managing data and infrastructure manually and in a fragmented approach, you should transform to a model where you are delivering a cloud operational experience for your data infrastructure—from edge to cloud.

Leveraging Cloud Operations for Data Infrastructure—From Edge to Cloud
Cloud-native control and operations—a core element of HPE’s Unified DataOps vision—enables IT to manage data and infrastructure through a SaaS-based control plane that abstracts data and infrastructure control from the physical infrastructure.

This architectural approach eliminates the complexity, fragmentation and costs to manage and maintain on-premises software and makes the deployment, management, scaling and delivery of data and infrastructure services invisible to organizations. Additionally, this approach automates management at scale through single-click policies and APIs across globally distributed data infrastructure. 

Turning the Vision Into Reality
HPE’s vision for delivering Unified DataOps comes to life with the Intelligent Data Platform delivered through HPE GreenLake. This is a unique cloud-native architecture that delivers a new data experience, bringing cloud operations to wherever data lives and setting the foundation for unifying data management.

Key innovations that comprise HPE’s Intelligent Data Platform—which together simplify data operations from edge to cloud—are:

  • Data Services Cloud Console: This is built on a cloud-native architecture designed to bring cloud agility to data infrastructure wherever it’s located—be that on premises, at the edge or in the cloud. It does this by separating the control plane from the underlying hardware and moving it to the cloud. Data Services Cloud Console unifies management silos under a single web interface with global visibility and a consistent experience from edge to cloud. This abstraction of control enables a suite of data services—delivered through Data Services Cloud Console—that radically simplifies how customers manage infrastructure at scale and across the lifecycle.
  • Cloud Data Services: This is a suite of software subscription services that simplify and automate global infrastructure management at scale. Consumed through the Data Services Cloud Console, Cloud Data Services features DataOps Manager for global management of data infrastructure from anywhere. Intent-based provisioning brings a paradigm shift to data infrastructure provisioning with an AI-driven, application-centric approach that enables self-service and on-demand provisioning, thereby eliminating guesswork and optimizing service-level objectives.
  • HPE Alletra: This is a new portfolio of all-NVMe cloud-native data infrastructure. Managed natively by the Data Services Cloud Console, HPE Alletra delivers the cloud operational experience on demand and as a service. It features a portfolio of workload-optimized systems designed to deliver the architectural flexibility to run any application without compromise.
  • HPE InfoSight: This is the industry’s most advanced and mature AIOps platform. It eliminates headaches and wasted time fighting fires with AI-powered autonomous data operations that optimize performance, availability and resource management—and makes infrastructure invisible. 

Taking the Next Step
IT teams are facing constant pressure to deliver on the promise of digital transformation. This means increasing business agility and speed, while reducing the overhead and costs of managing infrastructure. Pivoting from managing storage to leveraging data is a critical step in the digital transformation journey. To learn how your organization can bring a cloud operations model to wherever your infrastructure lives and unify data operations across the data lifecycle with Unified DataOps, please visit HPE.

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