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…
Most businesses’ workload ecosystems are in a state of transition. There is plenty of buzz about modern workloads such as artificial intelligence (AI), machine learning (ML), high-velocity analytics and NoSQL databases as new tools to drive competitive advantage. The reality,…
Most storage consolidation strategies fail because they attempt to consolidate to a single piece of storage hardware. To successfully consolidate storage, IT professionals need to look at consolidation strategies that worked. Server consolidation was VMware’s first use case. It was…
Trend #1 Artificial Intelligence (AI) – AI is one of the most over-hyped terms in the industry. In 2019 that hype reaches new heights. Vendors will not only claim they have the perfect storage system for AI workloads but that…
Legacy storage network architectures can’t keep up with the scale and performance requirements of modern data sets and workloads such as the Internet of Things (IoT) analytics, creating the need for transformation to support new business demands. Fibre Channel is…
Most organizations today, whether they realize it or not, are already multi-cloud. They may be using one cloud to host cloud-native applications, another cloud to store backups of on-premises data, and using software as a service (SaaS) offerings, which may…
Organizations are almost universally struggling with storing and managing their unstructured data. From a storage system perspective, vendors offer legacy NAS systems, object storage systems and cloud storage services, all trying to convince IT professionals that they are the best…
Artificial Intelligence (AI) and Machine Learning (ML) are becoming mainstream initiatives at many organizations. Data is at the heart of AI and ML. Immediate access to large data sets is pivotal to successful ML outcomes. Without data, there is no…
The speed at which the data center is evolving is forcing IT to sacrifice proper storage architecture design. IT is just trying to keep its head above water; it doesn’t have time to swim. This reality leads to a primary…
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