HPE Data Ops Manager: Simplifying global infrastructure management and monitoring

[StorageExperts]

We’re expanding the cloud operational experience with enhancements to HPE Data Ops Manager – bringing our customers a radically simplified intelligent management experience for data infrastructure at scale.

Last month, we announced enhancements to the cloud operational experience with new HPE GreenLake cloud services - delivered through the HPE GreenLake edge-to-cloud platform – to bring our customers more data-driven intelligence. The first is the new HPE InfoSight App Insights, giving customers end-to-end visibility across their IT stack – including up to the app layer – to keep their app workloads optimized, run their storage disruption-free, and continue to enjoy a transformed operational and support experience.  We also announced, CloudPhysics, a SaaS service for more intelligent IT decisions across edge-to-cloud and data-driven insights to IT procurement.  Our customers can now simulate cloud migration, optimize workload placement and right-size infrastructure, and get a more data-driven approach to onboard onto HPE GreenLake. 

And today, I’m excited to announce that we’re expanding the cloud operational experience with enhancements to HPE Data Ops Manager – bringing our customers a radically simplified intelligent management experience for data infrastructure at scale.

Enhancing the (already) intelligent cloud operational experience

Before I jump into what’s new, let’s start out with the basics of HPE Data Ops Manager. 

Delivered as-a-service through the Data Services Cloud Console on the HPE GreenLake edge-to cloud platform, it’s a HPE GreenLake cloud service that enables global management and monitoring of HPE Alletra cloud native data infrastructure from any location and from any device, with no software to deploy, manage, or maintain. Customers can constantly stay current on the latest software features without any action or involvement required. 

By separating the control plane from the underlying hardware and moving it to the cloud, we’re able to unify management silos under a single web interface – with global visibility and a consistent experience from edge-to-cloud. This approach brings the power of cloud agility, speed, and simplicity to data infrastructure wherever it lives, empowering organizations to manage their infrastructure in 99% less time  across the lifecycle¹ – from streamlined device deployment, to global infrastructure management. 

Global data infrastructure management

We know that there is a lot of different infrastructure management tools in the market.  Along with each management tool comes a different set of deployment guides, best practices, and upgrades. Keeping up with each tool to effectively manage data infrastructure takes a lot of time and resources.

With HPE Data Ops Manager, we’re eliminating the inefficiency of using these disjointed, domain-specific data infrastructure management tools. It provides 100% cloud-managed infrastructure, which means you have everything you need at your fingertips to globally deploy, manage, upgrade, and optimize your entire fleet of data infrastructure – wherever it is in the world – from any location, and through any internet connected web-browser.  The cloud-native control plane scales autonomously with infrastructure, so managing hundreds of systems across geographies is as simple as managing one.

Reimagined storage infrastructure provisioning

Provisioning storage is complex – and I’m not talking about clicking a button on a GUI. Did you know that on average it takes 1.5 days to provision storage, as discovered by ESG via a recent research study? In a world where speed matters, cumbersome work-tickets have to be created and handoffs made manually across the organization to get storage capacity provisioned.

There’s a better option: data infrastructure that enables instant provisioning for IT admins, app owners, and developers – leveraging AI to optimally determine where your data should be stored.    

Intent-based provisioning, a key feature of HPE Data Ops Manager, leverages intelligence and real-time context across the entire fleet utilizing predictive analytics, what-if simulations, and automated decisions. It abstracts away all the low-level details traditionally demanded by provisioning, such as having to specify and understand RAID types, block size, and data reduction.

Workloads – even for existing applications – are constantly changing the CPU/MEM resource utilization in your systems.  Intent-based provisioning relies on AI for the context of your entire fleet, to understand how your existing applications utilize resources in real-time, and can predict capacity resource utilization. Now, HPE Data Ops Manager is able to predict how system performance will be impacted after the new workload is added, based on historical workload patterns, data reduction settings, and capacity and host connectivity considerations.

Self-service experience

With the combination of intent-based provisioning and role-based access control, HPE Data Ops Manager enables self-service provisioning without the need for storage domain expertise.  Developers, testers, and other IT team members now have the ability to provision the storage they need for innovation. They simply log into HPE Data Ops Manager through a secure internet web-browser to get started.  Gone are the times of waiting days for IT Admins wading through work-tickets and requests. Developers can now deploy applications faster by shortening data infrastructure provisioning from days to minutes. This accelerates application development cycles, and makes possible the effortless app provisioning experience demanded by today’s fast-paced dev/ops processes.

Automation at-scale

For every feature and action that are available through HPE Data Ops Manager’s user interface, there is an API call. This gives customers the ability to programmatically interface with HPE Data Ops Manager to automate the deployment, provisioning, and management operations of HPE Alletra. 

Operational dashboard

And finally, HPE Data Ops Manager gives you an at-a-glance summary of your entire fleet of storage systems, volumes, and host servers including capacity and performance summaries and any reported issues.  From this single dashboard, storage admins can readily gain visibility into the health and utilization of their global fleet, determine how resource utilization will grow across performance and capacity based on historical workload patterns, and zero in on specific systems that require immediate attention.

HPE Data Ops Manager delivers a better data infrastructure management experience across organizations— enabling IT to shift from managing storage to managing data, thereby refocusing resources and skills on higher value strategic initiatives.   

With HPE Data Ops Manager, along with our previous announcements of HPE InfoSight App Insights and CloudPhysics, we’re expanding the cloud operational experience for our customers.

For more information, check out my colleague, Matt’s, blog.  

1 Market research conducted by ESG compared to HPE internal testing of HPE Alletra

Meet HPE Blogger Jenna Colleran. Jenna is an HPE Storage Product Marketing Manager. You can connect with her on Linkedin.

Storage Experts
Hewlett Packard Enterprise

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