cloud costs

University IT: How to get the most out of your move to the cloud

Why data reduction improves the case for the HED cloud.

The cloud’s raison d’être, regardless of the deployment model used, is its ability to deliver overall agility, deployment flexibility, and elasticity. Cloud priorities today include moving more workloads to the cloud, optimizing existing cloud utilization, leveraging innovation, and enabling multi-cloud deployments.

Why Universities are Cloud Unique

As universities deploy cloud infrastructures, they embrace efficiency techniques that have been developed and used by Amazon, Google, and Microsoft to control their public cloud data center costs. They deploy efficiency models that increase data density and reduce footprint requirements, while dropping operating costs for power and cooling.

As these extremely efficient models are deployed, legacy purpose-built hardware is being replaced with software-defined data centers running on industry-standard servers

Software-defined data centers usher in new opportunities to maximize efficiency in software. One such feature, which is particularly effective and critical in cloud environments, is inline data reduction which includes deduplication and compression.

In addition to the platforms and software efficiency of cloud, data reduction delivers a substantial impact on your university and your budget by reducing the amount of data stored. Data reduction shrinks the amount of storage consumed, increases data density further, and lowers the costs of data at rest and in flight over your networks.

No matter which cloud deployment you use, data reduction delivers economic benefits that make the cloud business case more compelling.

(Next page: University data reduction in a public, private and hybrid cloud environment)

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