Minimizing the total cost of ownership (TCO) and maximizing the uptime of storage infrastructure has never been more important. More data is being captured and utilized by the business, and a new tier of premium-priced non-volatile memory express (NVMe) arrays…
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…
Even though the workloads are only a few years old, the typical file system used in AI and High Velocity Analytics was created decades ago. These file systems, while parallel in nature, were optimized for large file, high bandwidth environments,…
The modern data center has to support many different types of workloads, each of which makes different demands on the storage architecture. Today, standard all-flash arrays (AFA) are the mainstream storage system for the data centers and conventional best practice…
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…
Dell Technologies World Hyperconverged Infrastructure Briefing Note Hyperconverged infrastructure (HCI) is quickly spreading across core and edge data center environments. As it moves beyond the point use cases like virtual desktop infrastructure (VDI) hosting, greater solution flexibility is needed because…
Splunk SmartStore enables organizations to achieve a high degree of compute/storage elasticity and makes it possible to achieve longer data retention without compromising performance or breaking the budget. A critical component of SmartStore is the storage system that it uses…
Previously, Storage Switzerland wrote about the need to be able to scale compute and storage independently, when it comes to serving distributed Splunk data sets for business intelligence. In this blog, we investigate Splunk’s recently launched SmartStore capability, and how…
To date, many enterprises have relied on backup technologies to meet archiving requirements. However, as data protection requirements become more demanding, this approach falls short. Backups must be continuous (or nearly so), creating an expensive storage capacity problem when these…
Storage managers are pressured to deliver new levels of nimbleness and operational and cost efficiency, while at the same time serve booming pools of unstructured data to highly distributed enterprises. Traditional network-attached storage (NAS) arrays were designed to serve smaller…
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