4 Reasons to Embrace Scale-Out, Not Scale-Up Infrastructure for Data Management

Posted 09/10/2018 by Hope D'Amore

You have the goal of optimizing your IT department and achieving effective data management, but traditional “scale-up” infrastructures that were initially supposed to help you may now be part of the problem. As your capacity needs more and you respond by adding more "scale-up" products, not only have your costs increased but there may also be confusion about where data is, who has access to it and whether or not it’s being protected. Especially since each product has its own data silo.

    You can eliminate forklift upgrades and siloed data management with a modern, scale-out approach to data protection and management. The automation provided by scale-out will save you time and money in the long run that can be allocated elsewhere to improve your business. When used for processes such as backup and recovery, new scale-out technology can help you realize the cloud-like agility and economics you want in your data center.

Consider these four reasons to embrace a scale-out, rather than scale-up, approach for your data protection and secondary storage infrastructure.

  1. Standardize and simplify management

Overcoming the mounting challenge of managing multiple point products for backup and recovery, a single scale-out infrastructure centralizes management into one unified console where IT can apply standardized policies, automation and even self-service capabilities across all enterprise data sets. This can have a significant impact on reducing management costs as well as the advantage of minimizing risk and ensuring that regulatory compliance and governance mandates are consistently met.

  1. Achieve greater data portability

To achieve a truly agile infrastructure, you need to ensure that your data can be easily migrated, when necessary, to take advantage of new technologies or lower cost options. While traditional backup, recovery and storage limited the ability to move data between storage tiers and across storage silos to optimize storage utilization, scale-out architectures make data portability both easy and seamless. They can also simplify the movement of data to the cloud, within the cloud or from cloud to cloud, so you’re never locked in to a specific platform or vendor.

  1. Enable cloud-like services

Scalability isn’t valuable unless it can also deliver the cloud-like access users need to access their data. Using a scale-out approach enables secondary workloads to deliver instant data access for users and applications utilizing a standard interface for all managed data – whether in the data center or in the cloud. Even the most demanding requests across several users or applications can be supported for cloud-like service availability.  

  1. Minimize Risk

The complexity of traditional scale-up architectures can increase application outages, impeding user productivity. Aging infrastructure and custom scripts can cause many unknown opportunities for downtime. Using a modern scale-out architecture delivers greater resiliency to limit this risk and significantly increase availability. Further, it’s much easier to implement consistent, unified policies and automation across all corporate data – no matter where it’s stored – for assured compliance and governance.

Scale-out infrastructure is delivering a cloud-like approach for today’s secondary storage, including backup and recovery, that’s quickly changing the landscape for today’s datacenters. By scaling-out, rather than scaling-up, to support your secondary workloads, you can further realize the modern infrastructure that will power your digital transformation goals.

Discover all the benefits of a scale out infrastructure and how it’ll improve your data management in “Scale-Out, Not Up, For Data Management Economics." 

Hope D'Amore is a Solutions Marketing intern in Tinton Falls, N.J. She is currently studying for her MBA.