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Why You Need To Know About The Disaster-Recovery-as-a-Service World

by Jeffrey Hewitt  |  June 30, 2020  |  Submit a Comment

With the proliferation of applications and data in so many locations (e.g. data center, edge, public cloud), the confidence in disaster recovery across all of these locations has reduced. The challenge becomes implementing effective disaster recovery solutions in the face of so many other priorities that infrastructure and operations face.  Enter DRaaS as a way to solve some of these challenges.

So how does DRaaS differ from other approaches?  The following table illustrates a summary of these differences.

As one can see from this table, DRaaS is a way to cover all four of these requirements–on-demand IaaS, replication, recovery SLAs, and automated recovery and failback.  This has made DRaaS an appealing offering for many I&O leaders.

There are market headwinds to DRaaS.  As one of my colleagues, Ron Blair, points out in a recent document, the providers of DRaaS are responding to those headwinds.

The Gartner document that I mention (co-authored by Lisa Pierce and me) is Market Guide for Disaster Recovery as a Service.  This document provides specifics for a wide array of DRaaS providers and what they offer.  As DRaaS becomes more broadly utilized as a means to deal with distributed applications and data, it is important to understand the DRaaS providers in this market and how they differ.  This provider information from Gartner helps the I&O leader make the right DRaaS choice in order to solve the increasingly complicated disaster recovery challenges that these leaders face in today’s hybrid world.

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Jeffrey Hewitt
VP Analyst I
20 years at Gartner
42 years IT Industry

Jeffrey Hewitt is a Research Vice President at Gartner, where he is a part of the Infrastructure and Operations team in the Gartner for IT Leaders organization. As a part of that team, Mr. Hewitt's primary areas of coverage include hyperconvergence, software containers/microservices, serverless computing, hyperscale (webscale) architectures, edge computing, machine learning IaaS, and the I&O implications of changing technology approaches like public cloud, blockchain, and big data. He also covers integrated systems and server purchasing negotiations.Read Full Bio




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