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…
As Storage Switzerland frequently discusses, many enterprises are struggling to keep up with today’s backup demands. Copy data is growing exponentially, to comply with data privacy regulations such as the European Union’s General Data Protection Regulation and the California Consumer…
Modern businesses rely on a large number of divergent applications. As previously blogged by Storage Switzerland, this application sprawl creates the need for a tiered, service level-driven approach to data protection. While the organization’s most mission critical applications require a…
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…
Non-volatile memory express (NVMe) is among the most hyped storage technologies of 2019 – and for good reason. As previously covered by Storage Switzerland, NVMe’s ability to increase queue depths and command counts and to connect directly to storage memory,…
It is tempting for IT professionals to take a macro-view of hyper-converged infrastructure (HCI) and let the vendor take care of all the details. The problem is the details matter, especially in HCI. The key HCI components for IT to…
Consumption-based IT enables the customer to obtain the pay-as-you-go cost effectiveness of cloud services while retaining an on-premises footprint. It also dramatically simplifies IT infrastructure management and planning. Data protection administrators in particular can benefit from this method of acquiring…
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…
Artificial Intelligence workloads push current IT architectures to their extremes. For the first time both computing horsepower and All-Flash Storage I/O can be overwhelmed by AI demands. GPUs from companies like Nvidia have largely solved the computing problem but the…
Bringing predictability to the data protection process is not a lost cause. The problem is that IT lacks a purchasing model to make data protection predictable and a software/hardware stack that works well with that model. As discussed in the…
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