Data reduction delivers compelling cost reduction that substantially improves the business case in every cloud deployment model. No matter which cloud approach you choose, the cost savings benefits from data reduction should not be ignored and must be a component of your cloud strategy.
IT professionals are finding that the future of IT infrastructure lies in the cloud. Data reduction technologies enable clouds - public, private, and hybrid - to deliver business agility and elasticity at the lowest possible cost, making cloud the deployment model of choice for IT infrastructure going forward.
You probably have already made a commitment to the cloud because it enables you to flexibly deliver IT resources more quickly and at a lower cost. IT buyers are steadily shifting towards cloud-first strategies where they can rapidly adapt to market dynamics as they are no longer bound by legacy IT constraints. Public, private, or hybrid clouds are choices every C-level executive is making today. Each are different - for example, public cloud is shared with other businesses to yield economies of scale in Amazon Web Services (AWS), Google, Microsoft, while private cloud is either on-premises or hosted by a public cloud provider. Hybrid is a mix of both approaches, with different workloads deployed in each based on need. IDC reports that clouds are rapidly evolving to become more trusted, more intelligent, and more specialized for particular industries and workloads.
The cloud's raison d'être, regardless of the deployment model used, is its ability to deliver IT business 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.
As businesses 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. These companies 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. In addition to the platforms and software efficiency of cloud, data reduction delivers a substantial impact on your business by reducing the amount of data stored. Data reduction chops 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.
If you are deploying in a public cloud
Every day new workloads are being deployed in public clouds. Worldwide public IT cloud service revenue in 2018 is predicted to be $127B. The economics that public cloud delivers are undeniable. Amazon, Google, and Microsoft growth in the public cloud is testament.
As you deploy a public cloud environment, consider that data reduction technology shrinks public cloud costs. For example, data reduction technology (deduplication and compression) typically cut capacity requirements of block storage in enterprise public cloud deployments by up to 85% (6:1). Take your cloud block storage bill, divide by 6, and that is the business case.
The following Amazon cloud deployment example employing data reduction demonstrates how data reduction delivers substantial savings:
If you provision 300 TB of General Purpose SSD storage for 12 hours per day over a 30-day month in a region that charges $0.
