ESG Solution Showcase. Scale-Out Data Protection Solution Showcase: Scale-out Data Protection 3 • More predictable performance. • Greater freedom of choice in hardware. • Being able to leverage the benefits of cloud services in an on-premises environment. The Growing Importance of Scale-out in Data Protection/Data Management Architectures Just as backups, snapshots, and replication are components of a comprehensive data protection function, data protection is itself part of an even broader data management strategy. Data management touches primary production data, secondary protection data, and tertiary copies retained for many business reasons. Both managed service providers and individual organizations might benefit by looking into how a scale-out data protection and management architecture could help them. Of course, the specific consumption models, mechanisms, and methods will vary: • Large enterprises deal with everything in greater volume. Yet many of them attempt to protect their sprawling data repositories using component-level solutions that create inherently isolated silos. For a large enterprise, the first step toward deploying scale-out data protection could be as simple as utilizing whatever capacity might be suitable/available across their myriad platforms. • Midsized organizations also want to maximize the utilization of their available storage, although their repository componentry isn’t likely to be as diverse as a large enterprise’s. Some smaller and midsized organizations focus on looking for enterprise-caliber protection solutions that are right-sized for them. Others are rearchitecting their data protection strategies more dramatically—implementing a “cloud-first” vision that utilizes backup (BaaS) and disaster recovery (DRaaS). • Managed service providers find scale-out data protection architectures appealing because they have goals in common with both enterprises and SMBs: They experience the same issues related to scale and IT heterogeneity that large enterprises do, and they need to support multiple independent SMB subscribers (similar, in a way, to how a large enterprise has to support multiple departments and branches). If they haven’t already started, it is almost inevitable that enterprises and MSPs will pursue scale-out data protection architectures to abstract and consolidate their diverse storage hardware into one manageable pool of optimized capacity. This trend is yet another validation of the value of and need for software-defined storage (SDS). SDS is storage managed and automated by intelligent software instead of being managed in the “old-fashioned” way by the storage hardware itself. SDS, combined with a scale-out data protection/data management architecture, not only supports balanced data growth on an as-needed basis, but also supports multi-protocol access. The result is that applications can concurrently access data and capacity regardless of whether that data/capacity is onsite, in a secondary facility, or in the cloud. Essentially, a good scale-out storage architecture uses its distribution and resiliency strengths to provide seamless extensibility and durability across multiple underlying repositories. The result is better cost control, higher performance, and all the other IT-oriented advantages described earlier, especially—importantly—more agility to serve a wider range of departments, remote sites, and subscriber clients. Commvault HyperScale Commvault has been innovating in the data protection market for more than 20 years and continually introducing evolutionary enhancements aligned with customers’ evolving needs. In 2017, it announced Commvault HyperScale Software (see Figure 3) as the underlying enablement layer of the Commvault Data Platform. © 2017 by The Enterprise Strategy Group, Inc. All Rights Reserved. Solution Showcase: Scale-out Data Protection 4 The actual functionality and usage experience may appear quite familiar, but Commvault HyperScale Software now provides an extended file system within the repository, and it offers clustering/failover capabilities between nodes, thereby providing scale-out data protection. Figure 3. The Commvault HyperScale Architecture Source: Commvault Supported by Commvault’s existing multi-tenancy features and distributed architecture, the new scale-out capabilities explicitly address the scale and flexibility challenges that enterprises and MSPs are looking for as they rearchitect themselves for the future. The Bigger Truth It appears that agility and efficiency are coveted by basically everyone involved in protecting and managing data— especially those people struggling to simultaneously keep up with sprawl and meet ever-heightening expectations. One answer to these storage-related challenges centers on introducing a software-defined layer that abstracts and normalizes underlying storage repositories while still enabling already-deployed best-of-breed componentry to do what it does best. In the realm of data protection, the newest area to start seeing software-defined evolution is protection storage. Such storage requires highly efficient optimization intended specifically for data management, data protection, and data preservation at increasingly higher scales. One company that has continually endeavored to innovate ahead of current market demand for more than 20 years is Commvault. As such, Commvault’s HyperScale Software delivers a scale-out architecture and should be considered as it evolves and expands the solution offerings through both MSP and on-premises software and appliance offerings. All trademark names are property of their respective companies. Information contained in this publication has been obtained by sources The Enterprise Strategy Group (ESG) considers to be reliable but is not warranted by ESG. This publication may contain opinions of ESG, which are subject to change. This publication is copyrighted by The Enterprise Strategy Group, Inc. Any reproduction or redistribution of this publication, in whole or in part, whether in hard-copy format, electronically, or otherwise to persons not authorized to receive it, without the express consent of The Enterprise Strategy Group, Inc., is in violation of U.S. copyright law and will be subject to an action for civil damages and, if applicable, criminal prosecution. Should you have any questions, please contact ESG Client Relations at 508.482.0188. © 2017 by The Enterprise Strategy Group, Inc. All Rights Reserved. www.esg-global.com © 2017 by The Enterprise Strategy Group, Inc. All Rights Reserved. [email protected] P.508.482.0188 Please complete the form to gain access to this content Access Now Related Resources Why Backup Needs a Big Red Button Six Reasons For Third-Party Salesforce Data Protection Protecting your Microsoft Office 365 Data Multi Cloud Native Backup and Recovery: One Data Protection Platform Across Microsoft Azure and Azure Stack 5 Insights on Data Protection in the Hybrid Cloud How to Build the Perfect Hybrid Cloud Is Your Data Protection Fit for the 2020's? 5 Big Ideas for Cloud Data Protection in the 'New Normal' SIMPLIFIED INTELLIGENT DATA PROTECTION WITH HPE AND COMMVAULT Commvault and HPE Unite to Defeat Downtime Astra Daihatsu Motor ensures timely delivery of information and avoids revenue loss Redefining Enterprise Data Protection with Commvault and NetApp Solutions Brief Data Protection and Recovery Key data protection enterprise requirements HPE and Commvault a winning combination for enterprise customers Commvault validated reference design specification Dont settle for two tiered IT Data protection for the enterprise Commvault software integration with HPE storeonce catalyst 5 Questions to Ask About Your Next Backup Software Status Quo Backup is Dead
Solution Showcase: Scale-out Data Protection 3 • More predictable performance. • Greater freedom of choice in hardware. • Being able to leverage the benefits of cloud services in an on-premises environment. The Growing Importance of Scale-out in Data Protection/Data Management Architectures Just as backups, snapshots, and replication are components of a comprehensive data protection function, data protection is itself part of an even broader data management strategy. Data management touches primary production data, secondary protection data, and tertiary copies retained for many business reasons. Both managed service providers and individual organizations might benefit by looking into how a scale-out data protection and management architecture could help them. Of course, the specific consumption models, mechanisms, and methods will vary: • Large enterprises deal with everything in greater volume. Yet many of them attempt to protect their sprawling data repositories using component-level solutions that create inherently isolated silos. For a large enterprise, the first step toward deploying scale-out data protection could be as simple as utilizing whatever capacity might be suitable/available across their myriad platforms. • Midsized organizations also want to maximize the utilization of their available storage, although their repository componentry isn’t likely to be as diverse as a large enterprise’s. Some smaller and midsized organizations focus on looking for enterprise-caliber protection solutions that are right-sized for them. Others are rearchitecting their data protection strategies more dramatically—implementing a “cloud-first” vision that utilizes backup (BaaS) and disaster recovery (DRaaS). • Managed service providers find scale-out data protection architectures appealing because they have goals in common with both enterprises and SMBs: They experience the same issues related to scale and IT heterogeneity that large enterprises do, and they need to support multiple independent SMB subscribers (similar, in a way, to how a large enterprise has to support multiple departments and branches). If they haven’t already started, it is almost inevitable that enterprises and MSPs will pursue scale-out data protection architectures to abstract and consolidate their diverse storage hardware into one manageable pool of optimized capacity. This trend is yet another validation of the value of and need for software-defined storage (SDS). SDS is storage managed and automated by intelligent software instead of being managed in the “old-fashioned” way by the storage hardware itself. SDS, combined with a scale-out data protection/data management architecture, not only supports balanced data growth on an as-needed basis, but also supports multi-protocol access. The result is that applications can concurrently access data and capacity regardless of whether that data/capacity is onsite, in a secondary facility, or in the cloud. Essentially, a good scale-out storage architecture uses its distribution and resiliency strengths to provide seamless extensibility and durability across multiple underlying repositories. The result is better cost control, higher performance, and all the other IT-oriented advantages described earlier, especially—importantly—more agility to serve a wider range of departments, remote sites, and subscriber clients. Commvault HyperScale Commvault has been innovating in the data protection market for more than 20 years and continually introducing evolutionary enhancements aligned with customers’ evolving needs. In 2017, it announced Commvault HyperScale Software (see Figure 3) as the underlying enablement layer of the Commvault Data Platform. © 2017 by The Enterprise Strategy Group, Inc. All Rights Reserved. Solution Showcase: Scale-out Data Protection 4 The actual functionality and usage experience may appear quite familiar, but Commvault HyperScale Software now provides an extended file system within the repository, and it offers clustering/failover capabilities between nodes, thereby providing scale-out data protection. Figure 3. The Commvault HyperScale Architecture Source: Commvault Supported by Commvault’s existing multi-tenancy features and distributed architecture, the new scale-out capabilities explicitly address the scale and flexibility challenges that enterprises and MSPs are looking for as they rearchitect themselves for the future. The Bigger Truth It appears that agility and efficiency are coveted by basically everyone involved in protecting and managing data— especially those people struggling to simultaneously keep up with sprawl and meet ever-heightening expectations. One answer to these storage-related challenges centers on introducing a software-defined layer that abstracts and normalizes underlying storage repositories while still enabling already-deployed best-of-breed componentry to do what it does best. In the realm of data protection, the newest area to start seeing software-defined evolution is protection storage. Such storage requires highly efficient optimization intended specifically for data management, data protection, and data preservation at increasingly higher scales. One company that has continually endeavored to innovate ahead of current market demand for more than 20 years is Commvault. As such, Commvault’s HyperScale Software delivers a scale-out architecture and should be considered as it evolves and expands the solution offerings through both MSP and on-premises software and appliance offerings. All trademark names are property of their respective companies. Information contained in this publication has been obtained by sources The Enterprise Strategy Group (ESG) considers to be reliable but is not warranted by ESG. This publication may contain opinions of ESG, which are subject to change. This publication is copyrighted by The Enterprise Strategy Group, Inc. Any reproduction or redistribution of this publication, in whole or in part, whether in hard-copy format, electronically, or otherwise to persons not authorized to receive it, without the express consent of The Enterprise Strategy Group, Inc., is in violation of U.S. copyright law and will be subject to an action for civil damages and, if applicable, criminal prosecution. Should you have any questions, please contact ESG Client Relations at 508.482.0188. © 2017 by The Enterprise Strategy Group, Inc. All Rights Reserved. www.esg-global.com © 2017 by The Enterprise Strategy Group, Inc. All Rights Reserved. [email protected] P.508.482.0188
