The age of the software defined datacenter and converged infrastructure is upon us. The benefits of running compute, storage and networking functions together on shared commodity hardware brings flexibility to the datacenter. The shift caused by software-defined storage and networking may prove to be greater than the shift to virtualized servers during the last decade.
The massive trend to virtualize servers has brought great benefits to IT data centers everywhere, but other domains of IT infrastructure have been challenged to likewise evolve. Software-Defined Storage (SDS) provides a new approach to making better use of storage resources in the virtual environment.
We specialize in providing complete marketing guidance, including product management, messaging, positioning, and launch support, within the Storage, Server Virtualization, Software-defined, Convergence, eDiscovery, WAN Optimization and Data Protection industries. We work with companies of all sizes but are especially attuned to emerging companies. Contact us for more information.
Enterprise IT practitioners are soon going to have to operate scale-out computing platforms in the production data center - Hadoop is the likely target. There's a plethora of Hadoop infrastructure options to choose from to fit almost every big data need – the challenge for IT is to implement the best solutions for their business client needs.
The promise of a software-defined strategy is a virtualized data center created from compute, network and storage building blocks. In this paper, Taneja Group takes an in-depth look at the capital expenditure (CapEx) savings that can be achieved by creating a state-of-the-art Software-Defined Data Center (SDDC).
Technology ValidationSolid-state technologies have allowed new comers as well as established storage vendors to start shaping up cost effective and highly efficient storage solutions that unlock greater storage performance. Taneja Group Labs turned to a hands-on Technology Validation to examine just how well server-side caching solutions might fair in real world use.
Big data doesn't have to be slow. Join us on 9/17 at 1 pm ET as Taneja Group Senior Analyst Mike Matchett interviews Nikita Ivanov, CTO of GridGain, on why in-memory solutions for Hadoop can make all the difference for big data success.
- 08/25/14 | Accelerating the VM with FlashSoft: Software-Driven Flash-Caching for the Virtual Infrastructure
- 08/21/14 | HP StoreVirtual VSA and VMware Virtual SAN - A Closer Look
- 08/19/14 | For Lowest Cost and Greatest Agility, Choose Software-Defined Data Center Architectures
- 08/08/14 | Software-defined Storage and VMware’s Virtual SAN Redefining Storage Operations
- 08/13/14 | Scale Computing Announces Record Sales in Q2
- 08/08/14 | Redefining Storage Operations with VMware Virtual SAN
- 08/12/14 | Tom Fenton | Working with VMware’s Virtual SAN
- 07/21/14 | Mike Matchett | Five VM-Level Infrastructure Adaptations
Resources & Events
- 05/01/14 | Taneja Group | Converged Infrastructure Survey
Webinars & WebcastsMore
- 09/17/14 | Mike Matchett, Sr. Analyst, Taneja Group; Nikita Ivanov, CTO of GridGain | Make the Elephant Fly: How to make Hadoop 10x faster in 10 minutes
- 06/24/14 | Mike Matchett, Senior Analyst, Taneja Group; Sanjay Sarathy, CMO, Sumologic; Donna Prlich, VP Product & Solutions Marketing, Pentaho | Big Data Best Practices: Video Roundtable