What are the top three data protection trends for 2017?

Backup and recovery trends, such as hybrid cloud data protection, are gaining popularity in the IT industry. Are these three major trends part of your data protection strategy?

Backup and data protection technology is evolving at an unprecedented rate. As new technologies become available, the IT industry has seen a number of data protection trends arise.

Here are three of the hottest data protection trends of 2017 IT pros should be aware of.

Converging data protection and disaster recovery

Perhaps the biggest of the current data protection trends is the convergence of backup and disaster recovery (DR) technologies. In fact, many of today's DR offerings provide point-in-time recovery capabilities and other features that have traditionally been found in backup applications.

Better still, DR providers have been working to significantly reduce the recovery point objective, with some reducing RPO to a matter of seconds. The ongoing ransomware epidemic has resulted in renewed interest in RPO and, from a business standpoint, there is a clear advantage to being able to recover data within a few seconds when a disaster occurs.

Data protection for hybrid cloud

A second trend is a vendor-agnostic approach to backup and recovery. Hybrid cloud technology is the in-vogue IT infrastructure of the moment.

However, hybrid clouds commonly make use of multivendor hypervisors, such as Microsoft and VMware, as well as multiple public clouds. This use of multiple platforms makes data protection far more challenging than it would be in a single vendor environment.

Consequently, there is a big push toward backup and data protection offerings that are largely vendor-agnostic, and that can protect data regardless of where it resides.

Orchestration plays a larger role

Over the last few years, backup applications have increasingly leveraged the use of snapshots. Although snapshots provide undeniable benefits, their use can result in snapshot sprawl.

Because of this, the last of the recent data protection trends is applying technologies that have traditionally been used for file data lifecycle management to the problem of snapshot sprawl. By establishing a snapshot lifecycle management policy, it becomes possible for an orchestration engine to automatically remove snapshots that have outlived their usefulness. Similarly, orchestration is being used to create snapshots on a scheduled basis.

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