The “software-defined data center” (SDDC) is hailed by many as the data center architecture of the future – promising to bring new levels of hardware utilization and a simplified, public cloud-like user experience on-premises. Previously, Storage Switzerland detailed the key…
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…
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…
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…
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…
The non-volatile memory express (NVMe) storage controller interface continues extending into the data center, on the back of growing requirements for new levels of application performance acceleration. NVMe is typically deployed as direct-attach storage via a Peripheral Component Interconnect Express…
The modern data center infrastructure market is characterized by the need for improved agility and responsiveness, and to make more strategic use of IT budgets. Cloud computing has introduced the concept of subscription-based IT service delivery, but it lacks on-premises…
Delivering new levels of application performance at massive scale is a requirement for modern enterprises and cloud service providers. These organizations are frequently employing hyperscale architectures and solid-state disks (SSDs) to meet modern applications’ aggressive performance requirements. However, performance degradation…
When the CPU needs data, the role of the storage system is to transfer information into main memory so the CPU can process it. The memory channels between the CPU and main memory is very fast and the number of…
The advent of disaggregated and distributed cloud-based applications along with inconsistent read latencies inherent in solid-state drive (SSD) storage media, create a new application performance bottleneck. George Crump, Lead Analyst for Storage Switzerland, recently spoke with Joe Dedrick, Vice President…
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