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Every organization undergoing digital transformation needs to optimize IT from edge to cloud in order to move faster and speed the time to innovation. But every IT infrastructure purchase forces decision-makers to confront several difficult questions: What’s the right infrastructure configuration to meet service level agreements (SLAs)? Where should we modernize – on-premises or in the cloud? And how do I demonstrate ROI in order to proceed?

There are no uniform answers. Each customer is at a different stage in their own transformation journey — and every one faces unique challenges. To sort out purchasing decisions, customers are typically stuck pouring through spreadsheets and applying heuristics to try to understand all the intricate dependencies of their workloads on their underlying infrastructure.

Meanwhile, partners and sellers are similarly challenged to provide a unique value proposition — based on very little or zero visibility — that’s tailored to the customer’s environment.

This has created an IT infrastructure planning and buying process that is randomly inaccurate, time-consuming, wasteful, and ultimately elevates risk in meeting SLAs.

At HPE, we know our customers and partners rely on us to deliver the right products and solutions to help them adjust to new and emerging needs. We’ve already put our infrastructure on autopilot through a predictive model of support and management that’s powered by the data-driven insights of HPE InfoSight. Now we’re extending data-driven insight to operations — helping customers and partners monitor, analyze, and optimize customer IT in new ways and deliver solutions that drive better business outcomes.

With the introduction of HPE CloudPhysics, we’re enabling data-driven insights to power smarter IT decisions from edge to cloud. Our partners and customers will now be able to better collaborate on optimizing application workload placement, procuring right-sized infrastructure, lowering costs, and transforming the IT purchasing experience. 

HPE CloudPhysics is a simple solution delivered as a service – no hardware, no software, and no future maintenance (!) – that continuously monitors and analyzes IT infrastructures, estimates costs of cloud migrations, and models customers’ IT infrastructure as a virtual environment.

Installation takes just minutes, and customers can generate insights in as little as 15 minutes. The data capture of HPE CloudPhysics is one of the most granular in the industry, with over 200 metrics for VMs, hosts, data stores, and networks. When you add up all the data to date, HPE CloudPhysics has already collected more than 200 trillion data samples, along with data from 1 million VM instances worldwide. And, with well over 4500 completed assessments, HPE CloudPhysics has a proven record of significantly increasing the ROI on infrastructure investments. 

With support for HPE Alletra, HPE Nimble Storage dHCI, and HPE SimpliVity, HPE CloudPhysics provides customers and partners a simple, data-driven approach to onboard onto HPE GreenLake.

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