Every organization pursuing digital transformation needs to optimize IT from edge to cloud to move faster and speed time to innovation. But the devil\u2019s in the details. Each proposed IT infrastructure purchase presents decision-makers with difficult questions. What\u2019s the right infrastructure configuration to meet our service level agreements (SLAs)? Where should we modernize \u2014 on-premises or in the cloud? And how do we demonstrate ROI in order to proceed?\n\nThere are no easy, straightforward answers. Every organization is at a different stage in the transformation journey, and each one faces unique challenges. The conventional approach to IT purchasing decisions has been overwhelmingly manual: looking through spreadsheets, applying heuristics, and trying to understand all the complex dependencies of workloads on underlying infrastructure.\n\nPartners and sellers are similarly constrained. They must provide a unique solution for each customer with little to no visibility into a prospect\u2019s IT environment. This has created an IT infrastructure planning and buying process that is inaccurate, time-consuming, wasteful, and inherently risky from the perspective of meeting SLAs.\n\nSmarter solutions make for smarter IT decisions\n\nIt\u2019s time to discard legacy processes and reinvent IT procurement with a new approach that leverages the power of data-driven insights. For IT decision makers and their partners and sellers, a modern approach involves three essential steps to optimize procurement \u2014 and accelerate digital transformation:\n\n1. Understand your VM needs\n\nBefore investing in infrastructure modernization, it\u2019s critical to get a handle on your current workloads. After all, you must have a clear understanding of what you already have before deciding on what you need. To reach that understanding, enterprises, partners, and sellers should be able to collect and analyze fine-grained resource utilization data per virtual machine (VM) \u2014 and then leverage those insights to precisely determine the resources each VM needs to perform its job.\n\nWhy is this so important? VM admins often select from a menu of different sized VM templates when they provision a workload. They typically do so without access to data \u2014 which can lead to slowed performance due to under-provisioning, or oversubscribed VMs if they choose an oversized template. It\u2019s essential to right-size your infrastructure plan before proceeding.\n\n2. Model and price infrastructure with accuracy\n\nAny infrastructure purchase requires a budget, or at least an understanding of how much money you intend to spend. To build that budget, an ideal IT procurement solution provides an overview of your inventory, including aggregate information on storage, compute, virtual resource allocation, and configuration details. It would also provide a simulator for on-premises IT that includes the ability to input your actual costs of storage, hosts, and memory. Bonus points for the ability to customize your estimate with depreciation term, as well as options for third-party licensing and hypervisor and environmental costs.\n\nTaken together, these capabilities will tell you how much money you\u2019re spending to meet your needs \u2014 and help you to avoid overpaying for infrastructure.\n\n3. Optimize workloads across public and private clouds\n\nMany IT decision makers wonder about the true cost of running particular applications in the public cloud versus keeping them on-premises. Public cloud costs often start out attractively low but can increase precipitously as usage and data volumes grow. As a result, it\u2019s vital to have a clear understanding of cost before deciding where workloads will live. A complete cost estimate involves identifying the ideal configurations for compute, memory, storage, and network when moving apps and data to the cloud.\n\nTo do this, your organization and your partners and sellers need a procurement solution that can map their entire infrastructure against current pricing and configuration options from leading cloud providers. This enables you to make quick, easy, data-driven decisions about the costs of running applications in the cloud based on the actual resource needs of your VMs.\n\nAnd, since you\u2019ve already right sized your infrastructure (step 1), you won\u2019t have to worry about moving idle resources to the cloud and paying for capacity you don\u2019t need.\n\nHPE leads the way in modern IT procurement\n\nHPE has transformed the IT purchasing experience with a simple procurement solution delivered as a service:HPE CloudPhysics. Part of the HPE GreenLake edge-to-cloud platform, HPE CloudPhysics continuously monitors and analyzes your IT infrastructure, models that infrastructure as a virtual environment, and provides cost estimates of cloud migrations. Since it\u2019s SaaS, there\u2019s no hardware or software to deal with \u2014 and no future maintenance.\n\nHPE CloudPhysics is powered by some of the most granular data capture in the industry, with over 200 metrics for VMs, hosts, data stores, and networks. With insights and visibility from HPE CloudPhysics, you and your sellers and partners can seamlessly collaborate to right-size infrastructure, optimize application workload placement, and lower costs. Installation takes just minutes, with insights generated in as little as 15 minutes.\n\nAcross industries, HPE CloudPhysics has already collected more than 200 trillion data samples from more than one million VM instances worldwide. With well over 4,500 infrastructure assessments completed, HPE CloudPhysics already has a proven record of significantly increasing the ROI of infrastructure investments.\n\nThis is the kind of game-changing solution you\u2019re going to need to transform your planning and purchasing experience \u2014 and power your digital transformation.\n\n____________________________________\n\nAbout Jenna Colleran\n\nJenna Colleran is a Worldwide Product Marketing Manager at HPE. With over six years in the storage industry, Jenna has worked in primary storage and cloud storage, most recently in cloud data and infrastructure services. She holds a Bachelor of Arts degree from the University of Connecticut.