Taking Cloud Integration to New Heights

Taking Cloud Integration to New Heights

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If your enterprise is looking off-premises when considering where to store data, you’re far from alone. Gartner’s 2017 Cloud Forecast Overview reports that four out of five organizations say they plan to increase spending on cloud adoption this year, with cost savings, agility and modernization key drivers behind those plans. DataSphere makes cloud adoption seamless, enabling enterprises to integrate with on-premises object or public cloud storage as just another tier of storage. This week’s release of DataSphere 2.0 offers several enhancements that add significant value to its seamless cloud integration features. Let’s take a closer look at how DataSphere makes it easier than ever to get the right data to the cloud.

Accelerating Data Transfers

DataSphere 2.0 accelerates transfer speeds between on-premises storage and the cloud. It does this by deduping and compressing data and then providing parallel access to multiple cloud storage S3 targets (buckets). The following diagram illustrates how:

Figure 1 – DataSphere accelerates data transfers through parallel access to multiple cloud buckets.

Protect Your Data with Cloud-Based Snapshots

Many companies augment their traditional backup and recovery strategies with array-based snapshots as a convenient shortcut to continuous backups or to restore an entire dataset to a previous point-in-time. This may be risky for production data. Unless snapshots are moved to another storage device, they are exposed to system failures and occupy capacity on high-performance storage tiers. To ensure data is kept safe, retaining a series of snapshots over time requires companies to purchase additional capacity. Over time, this either gets very expensive, or IT ends up prematurely deleting older snapshots to reclaim capacity on production systems.

DataSphere 2.0 enables customers to automate the movement of backups and snapshots to another location, including the cloud, for disaster recovery and restoration of deleted or modified files. This improves DR, while reducing costs. For example, companies can take snaps more frequently and generate longer snapshot chains, at much lower costs, by moving aging snapshot data into the cloud. Restoring data is seamless as snapshot management software maintains access to the files, even in the cloud. When snapshot management software needs to restore a file, DataSphere will transparently move the snap data back to the production environment, so recovery completes entirely automatically. Admins can also copy snap data to multiple clouds, improving disaster recovery and snap availability at a far lower cost than making multiple copies to on-premises storage.

Automate Cloud Data Placement

As mentioned in the previous sections, DataSphere enables enterprises to move data seamlessly between on-premises storage and the cloud. The 2.0 release makes this movement even more intelligent, with DataSphere providing visibility and automating data movement at the file level, based on activity of data residing in the cloud. For example, if a big data analytics project requires data that is in the cloud, DataSphere can see the data is being accessed and retrieve it back to on-premises storage, without any admin intervention required. DataSphere’s ability to rehydrate data in the cloud at the file level means IT can keep costs in check by not having to pull an entire LUN back on-premesis when only a few files are actually needed.

DataSphere enables enterprises to dramatically accelerate and automate their cloud initiatives, without the need for manual assessment and complex migration projects. The 2.0 release of DataSphere makes cloud integration even easier, accelerates data transfers, automates snapshotting to and from multiple clouds, and increases visibility into activity levels of data stored in the cloud. Want to learn more? Connect with us a deepdive@primarydata.com.

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