Blog Archives

The ROI of a Flash and Object Storage Architecture

The flash+object storage architecture creates a cost effective, two tier storage architecture in the data center. It enables IT to better meet performance demands of applications and the retention demands of unstructured data. Ideally the organization can reduce the size

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Modernizing NAS Instead of Replacing It – Qumulo Briefing Note

Organizations are almost universally struggling with storing and managing their unstructured data. From a storage system perspective, vendors offer legacy NAS systems, object storage systems and cloud storage services, all trying to convince IT professionals that they are the best

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Posted in Briefing Note

Designing an All-Flash Data Management Strategy

Thanks to decreasing flash media pricing and data efficiency technologies like deduplication, all-flash arrays are now commonplace in many data centers. In most cases though, the purchases of first generation all-flash arrays were to solve a specific performance problem. Now

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Creating a Real-time Storage Network

Traditionally, systems create data, process it, and then store it for a time before accessing it again in response to a user request. Essentially, data is processed in batches. In the modern data center, the move is toward real-time analysis

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Next Generation Networks Need to be More than Fast

The data center network is on the verge of one of its most dramatic upgrades in bandwidth in decades. Virtualized data centers, as well as hyperscale and rack scale environments, are driving the need for higher bandwidth networks. These environments

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Simpler is Better – Solving Rack Scale Storage Problems – DriveScale Briefing Note

The storage infrastructure for multi-rack scale applications like Hadoop Spark, Cassandra, and CouchBase, are typically built using directly attached flash-based storage instead of a shared flash array. The motivation for using direct-attached storage (DAS) is simple. Media inside a server

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Posted in Briefing Note

Flash to Flash to Cloud – Solving the Data Protection Problem

The primary objective of a data protection strategy is to protect data frequently and consistently. The ever growing size of data, the diversity of systems that store that data and the high expectations of the creators and consumers of that

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