Blog Archives

DriveScale Composable Infrastructure: Elastic and Efficient Resources for Modern Workloads

Posted on June 5, 2019 by Krista Macomber

Modern workloads such as Hadoop, Kafka and machine learning are demanding in terms of the volume of data that must be processed, the speed at which that data much be processed, and the fact that their capacity and performance requirements…

Tagged with: Big data, Cloud, Composable Storage, DAS, DriveScale, Hyperscale, JBOD, JBOF, Machine Learning, NAS, NVMe, NVMe-oF, SAN
Posted in Blog

Solving the New Storage Performance Problem

Posted on May 28, 2019 by George Crump

NVMe (Non-Volatile Memory Express) flash drives thrust storage media from the position of the worst performing component of the data center to the best. The technology’s low latency however, exposes other bottlenecks that went previously undetected. The new storage performance…

Tagged with: AI, Big data, Computational Storage, DRAM, Encryption, Flash, Hyperscale, IoT, ML, NGD Systems, NVMe, NVMe-oF, PCIe, SSD
Posted in Blog

Is NVMe Enough for Efficient Hyperscale Data Centers?

Posted on May 23, 2019 by George Crump

Hyperscale architectures typically sacrifice resource efficiency for performance by using direct attached storage instead of a shared storage solution. That lost efficiency though, means the organization is spending money on excess compute, graphics processing units (GPUs) and storage capacity that…

Tagged with: Big data, Cloud, Composable Storage, DAS, DriveScale, Hyperscale, Machine Learning, NAS, NVMe, NVMe-oF, SAN
Posted in Blog

How to Modernize Your Backup Software

Posted on May 20, 2019 by Krista Macomber

Backup software vendors are taking great strides to adapt their software to accommodate new recovery point objective (RPO) and recovery time objective (RTO) pressures that increasingly require restoring data immediately and with zero data loss. For example, vendors are investing…

Tagged with: Backup, Big data, Cloud, Cloudian, file sync and share, Hybrid, Metadata, Object Storage, Perfromance, Replication, RPO, RTO, Veeam
Posted in Blog

Is Object Storage Really the Future of Unstructured Data Storage?

Posted on May 20, 2019 by Krista Macomber

Simply put, unstructured data is breaking traditional network-attached storage (NAS) architectures. The scale-up nature of traditional NAS solutions renders the storage controller a bottleneck in being able to handle the intensive metadata operations that are associated with unstructured files, forcing…

Tagged with: Analytics, Artificial Intelligence, Big data, Cloud, Hybrid, IOPS, IoT, NAS, NVMe, Object Storage, POSIZ, Qumulo, Unstructured data
Posted in Blog

The Problems with Hyperscale Storage

Posted on May 16, 2019 by George Crump

Direct attached storage (DAS) is the default storage “infrastructure” for data intensive workloads like Elastic, Hadoop, Kafka and TensorFlow. The problem, as we detailed in the last blog, is using DAS creates a brittle, siloed environment. Compute nodes can’t be…

Tagged with: Big data, Cloud, DAS, DriveScale, Machine Learning, NAS, NVMe, NVMe-oF, SAN
Posted in Blog

Webinar: Will Your Backup Architecture Meet Tomorrow’s SLAs? 3 Steps to Make Sure!

Posted on May 16, 2019 by George Crump

Organizations, application owner and users all have much higher expectations of IT than ever before. They expect IT to recover real-time data instantaneously and recall aged data very quickly. These expectations mean that backup architectures are getting stretched at both…

Tagged with: All-Flash, Backup, Big data, Cloud, Data Protection, Disaster recovery, Hybrid, NetApp, Service Level Agreements, SLA, Veeam
Posted in Webinar

The Problems that Scale-Out Architectures Create

Posted on May 9, 2019 by George Crump

Data intensive workloads like Elastic, Hadoop, Kafka and TensorFlow, are unpredictable, making it very difficult to design flexible storage architectures to support them. In most cases, scale-out architectures utilize direct attached storage (DAS). While DAS delivers excellent performance to the…

Tagged with: All-Flash, Big data, Cassandra, Cloud, Composable Storage, DAS, DriveScale, Hadoop, Hyperscale, Kafka, Machine Learning, ML, Replication, Shared Storage
Posted in Blog

15 Minute Webinar: Composing Infrastructure for Elastic, Hadoop, Kafka and Cassandra to Drive Down Cloud Data Center Costs

Posted on May 7, 2019 by George Crump

Hyperscale applications like Elastic, Hadoop, Kafka and Cassandra typically use a shared nothing design where each node in the compute cluster operates on its data. Hyperscale architectures, to maximize storage IO performance, keep data local to the compute node processing…

Tagged with: All-Flash, Big data, Cassandra, Cloud, Composable Storage, DriveScale, Hadoop, Hyperscale, Kafka, Machine Learning, ML
Posted in Webinar

Why Metadata Might be Impeding Your Flash Performance

Posted on May 1, 2019 by Krista Macomber

Metadata is an often overlooked but leading storage performance bottleneck. Metadata maps how files are stored on disks, and it summarizes characteristics of file attributes such as author and last date of access. As such, it is crucial to data…