Previously, Storage Switzerland wrote about the need to be able to scale compute and storage independently, when it comes to serving distributed Splunk data sets for business intelligence. In this blog, we investigate Splunk’s recently launched SmartStore capability, and how…
To date, many enterprises have relied on backup technologies to meet archiving requirements. However, as data protection requirements become more demanding, this approach falls short. Backups must be continuous (or nearly so), creating an expensive storage capacity problem when these…
The modern data center infrastructure market is characterized by the need for improved agility and responsiveness, and to make more strategic use of IT budgets. Cloud computing has introduced the concept of subscription-based IT service delivery, but it lacks on-premises…
Hybrid Flash Arrays and All-Flash Arrays are fundamentally changing the way IT designs storage architectures. IT can create virtual environments with much higher virtual machine to physical server ratios, scale-up databases to support exponentially more users and add new workloads…
Previously in this blog series, Storage Switzerland discussed the roles of data protection and data management in the modern data center. Each adds unique value when it comes to cost-efficiently facilitating data availability and privacy, but most software solutions on…
Splunk enables organizations to analyze data that IT operations, security and the various lines of business create. The more of this data that is available for analysis the better decisions IT can make. Ideally organizations want their Splunk environment data…
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…
Artificial intelligence (AI) stands to dramatically impact business and IT operations alike, but in these early days, it is difficult for IT professionals to distinguish vendor buzz from reality. This is especially true when it comes to the storage market.…
As Artificial Intelligence, Machine Learning and Deep Learning workloads go mainstream, organizations are struggling with how to develop a storage infrastructure to best meet the unique challenges of these workloads. AI/ML workloads typically include hundreds, if not thousands of servers…
In today’s insights economy, much can be gleaned from the hyperscale cloud (Amazon, Google, Azure) providers’ ability to deliver an infrastructure that provides strong degrees of data resiliency and protection, agility, and performance – with minimal intervention from storage administrators.…
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