Software Defined Storage (SDS) was supposed to displace legacy hardware storage solutions that locked customers into a particular vendor. Years after its introduction SDS continues to struggle to gain critical mass within data centers. Today most data centers, especially at…
A recent Storage Switzerland Webinar “How to Design Self-Protecting Production Storage and Gain Backup Independence” introduced the concept of self-protecting primary storage but what about self-archiving primary storage? The value of self-protecting primary storage is that it improves the quality…
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,…
Protecting laptops, tablets, and smartphones (endpoints) are more critical than ever. Users use endpoints of all types to create data essential to the organization, but the user may never store that data on a corporate (and protected) fileserver. One of…
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…
An often overlooked yet crucial component of an HCI environment is the network, especially as the environment scales. Each additional node consumes network ports and needs IT to logically connect it to the HCI cluster. In many HCI environments, the…
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…
File serving is evolving to file collaboration and the cloud is an ideal destination for this evolved use case. The file system, the software behind the file server, needs to change to keep up with this evolved use case. Simply…
In response to the increased need for rapid recovery, longer data retention and the desire to support the cloud for vaulting and disaster recovery, alternative solutions are appearing on the market to try and correct the shortcomings of legacy architectures.…
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