Blog Archives

Protecting the Other Door – Application Vulnerabilities

Ransomware gets a lot of attention from IT professionals and data protection vendors alike. Ransomware however, is only one door that bad actors can use to compromise the data center. Another door is application or operating system vulnerability. While several

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Posted in Briefing Note

Is it Time to Rethink NAS for Unstructured Data?

Network Attached Storage (NAS) systems were once the primary storage destination for all unstructured data but with file-counts soaring past one billion and with machines replacing users as the primary creators of data, the industry is seemingly moving past NAS

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Posted in Blog

Silos of Clusters – Is this the End Result of Data Center Modernization?

Applications like Elastic, Hadoop, Kafka and TensorFlow typically operate on scale-out architectures built from dozens, if not hundreds of servers, which act as nodes in the application’s cluster. Many organizations now use a mix of these applications to derive the

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Posted in Blog

New eBook: Hyperscale Performance, Is NVMe Enough?

Hyperscale architectures that support Elastic, Hadoop, and Kafka, often vary wildly between organizations and even within each organization. Each workload often needs its own cluster and IT teams are constantly trying new technology within those clusters, trying to improve performance.

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Posted in Blog

For All-Flash Performance, Hardware vs. Media

In recent years the industry has seen the evolution of flash media from Serial Attached SCSI (SAS) and Serial Advanced Technology Attachment (SATA) based interconnects to Peripheral Component Interconnect Express (PCIe) based interconnects. And now, PCIe interconnect is standardized around

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Posted in Blog

Top Four Data Analytics Challenges – Challenge 2: Technical Expertise

The new era of data analytics has opened up a new opportunity for storage professionals to become strategic partners and advisers to line of business stakeholders. The problem is that completing analytics queries is taking far too long – frequently

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Posted in Blog

Meet The CEO: MemVerge’s Charles Fan

Workloads like artificial intelligence (AI), machine learning (ML), big data analytics, the Internet of Things (IoT) and data warehousing need storage memory-levels of performance. Charles Fan, CEO of MemVerge, has a vision for making this possible without disrupting the application

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Posted in Webinar