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…
IT professionals are hearing a lot about composable infrastructures and many vendors are claiming to offer a solution, but only a few have truly composable solutions ready for deployment today. The goal of composability is to bring the cloud like…
Many organizations need to continue to run virtualized applications on-premises but are also looking to replace and consolidate aging server infrastructure. At the same time, these organizations want to leverage cloud services for data protection, high availability and disaster recovery…
All-Flash arrays are no longer a one size fits all. There is a clear line of demarcation between standard all-flash and extreme flash, but most suppliers try to squeeze all of an organization’s problems into a single system architecture because…
Splunk is one of the most broadly adopted analytics applications on the market today. The primary reason for its popularity is it analyzes data that organizations already have, like log and metadata generated from IT operations, enterprise security and various…
For most organizations, unstructured data is their biggest problem. The need to store all this data is forcing IT to expand primary storage capacities at an alarming rate. Unstructured data not only threatens to break IT budgets, but also force…
Modern applications process large segments of data, often in parallel. These applications need to match patterns across a multitude of object and vectors or regularly update multiple indices as they change over time. Storage IO and network latency quickly become…
As organizations and their employees become more distributed, a case can be made that endpoints (laptops, tablets and smartphones) are some of the most critical pieces of technology in the organization. The problem is most organizations haven’t revisited their endpoint…
Artificial Intelligence, Machine Learning and High Velocity Analytic workloads are going mainstream. Enterprises of all types and sizes want to seize the opportunity their data presents. As these workloads move from development to production, organizations face a significant challenge with…
It is 2019, why are we still backing up production storage? The simple answer is that most production storage systems can provide some level of data protection but they can’t fully replace backup. It’s time to consider what backup independence means.…
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