EGUIDE:
The term hyper-convergence means different things to different people. But at its core, hyper-convergence brings together servers and storage network resources that are managed as a single unit using software. In this e-guide, learn more about the benefits of hyper-convergence and how you can derive the greatest value from your investment.
EGUIDE:
Linear Tape File System (LTFS) offers the chance to build nearline storage with the cost profile of tape and the access times of NAS. This guide walks you through LTFS and tape NAS.
EBOOK:
Find out how converged and hyper-converged solutions are delivering an increased level of consistency for today's IT infrastructures by packaging key features of the data center that are designed to go together and also learn how the cloud is being used to optimize these converged workloads.
EGUIDE:
See how London Capital Group cut deployment times and datacenter footprint by ditching server-plus-SAN architecture for hyper-converged server/storage boxes.
EGUIDE:
This exclusive buyer's guide examines the various types of software-defined storage and helps you to select the right SDS product for your organization. Discover the value of SDS, compare software-only SDS vs. vendor-provided SDS, and much more.
EGUIDE:
Hyper-converged platforms have grown to include secondary storage space; however secondary-storage still faces a plethora of issues. Discover how to best address the problems facing secondary storage and how vendors are promising to make life easier for storage administrators.
EGUIDE:
In this expert guide, SearchCloudStorage joins Avinash Lakshman, CEO and founder of Hedvig Inc, to demonstrate the flexibility achieved by employing a self-service public cloud provider that uses replication- and erasure coding-based storage. Read on to learn if replication-based SDS is more affordable than traditional storage.
WEBCAST:
Evaluator Group Senior Strategist Randy Kearns and VP of Marketing at WekaIO Barbara Murphy dig into this question in this custom webcast; they also examine a high-performance storage system that provides the parallel data access, architecture for multiple data types, and flexible scalability that ML and DL workloads require.
