Benchmarks are necessary when trying to understand the performance characteristics of a particular storage system in a particular environment. The problem is they are susceptible to manipulation by vendors to get the best marketing results. The Standard Performance Evaluation Corporation…
Migrating to the hybrid cloud stands to allow businesses to balance agility, cost, performance, and security requirements. However, the complexity of implementing a global management structure that accounts for all data and that gets that data where it needs to…
Our previous blog highlighted the challenges of supporting artificial intelligence (AI), machine learning (ML) and deep learning (DL) workloads with legacy file systems. Control node bottlenecks, inferior (or lack of) non-volatile memory express (NVMe) drivers, and inefficient capacity utilization are…
Unstructured data continues to grow unabated and traditional network attached storage (NAS) systems simply can’t keep pace. These systems are often cloud ignorant, can’t deal with the growing population of small file workloads and provide almost no insight into the…
Organizations are moving to the cloud but according to a recent Osterman Research study, only 14% of companies have completed that transformation. The study clearly identifies data storage as an area where IT can easily accelerate their cloud transformation journey.…
Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) workloads often start as skunk works projects within an organization. After the proof of concept and testing they move into production, which means storage performance and capacity demands for the…
As Storage Switzerland previously blogged, non-volatile memory express (NVMe) access protocols stand to add value to a host of applications, ranging from the performance-intensive newer workload set (e.g. artificial intelligence) to more traditional Tier 1 applications (e.g. Microsoft SQL Server).…
Storage consolidation projects are permanently on the IT project whiteboard. The process typically starts after IT realizes that their data center is overrun by multiple storage systems from multiple vendors. Storage Switzerland finds that most data centers have 5-6 different…
The terms “software-defined data center” (SDDC) and “software-defined storage” (SDS) are commonly thrown around, typically being associated with the abstraction of core infrastructure functionality into a common software plane that can then be deployed on low-cost, commodity hardware. This definition…
The most common method for consolidating storage is for the organization to purchase a single storage system, hardware, and software, and move all workloads to the new system. The organization is in effect creating a storage mainframe. The challenges with…
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