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SpotLITE Discovery for Azure MSP: 2 WKS Assessment

Green House Data

Green House Data’s SpotLITE discovery process is designed to determine the overall health of the current state of your IT and outline a plan to improve operational performance including Azure.

SpotLITE is more than your typical discovery: it is a health check and in-depth probe for your IT infrastructure. The SpotLITE process then allows Green House Data to deliver on a solution that is built right, just for you.

SpotLITE is a process where Green House Data will give infrastructure design recommendations and a detailed evaluation, free of charge. Solutions architecture teams evaluate your current environment and design a compute, network, storage, and software combination that best aligns to your business goals to your IT infrastructure. We take an in-depth look at what is currently working, how well it functions for your users and applications, and how well it can integrate with cloud or colocated solutions.

Your solution and recommendations are focused around how well your infrastructure supports business operations, not just technical requirements. The result of your health check are granular benchmarks of your current environment, anticipated performance for the proposed solution, and a detailed timeline for deployment.

SpotLITE may include analysis of compute and storage infrastructure, networks, security systems, data integrity, functional process, and organizational structure in order to support a solid IT foundation and objectively identify areas to improve performance, reduce cost, and streamline efforts. If applicable, we can conduct an Azure Assessment. 98% of Microsoft EA customers are not fully leveraging HUB licensing savings. Azure costs can quickly and easily get away from you. Are you saving 40% on your Azure IaaS VMs with the Hybrid Use Benefit (HUB) licensing? Customer Deliverables: The Customer will get insight into their usage and consumption data in both Azure Monitor (formerly OMS) and Cloudyn with a PowerBI front end If following the insights, the customer wishes to make changes, we will work with them to schedule the automation with our Automation Framework