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Showing 1 - 8 of 8 white papers, page 1 of 1.
How Software-Defined Storage Enhances Hyper-converged Storage
This paper describes how to conquer the challenges of using SANs in a virtual environment and why organizations are looking into hyper-converged systems that take advantage of Software-Defined Storage as a solution to provide reliable application performance and a highly available infrastructure.
One of thefundamental requirements for virtualizing applications is shared storage.Applications can move around to different servers as long as those servers haveaccess to the storage with the application and its data. Typically, sharedstorage takes place over a storage network known as a SAN. However, SANstypically run into issues in a virtual environment, so organizations arecurrently looking for new options. Hyper-converged infrastructure is a solutionthat seems well-suited to address these issues.
 
By downloading thispaper you will:
 
  • Identify the issues with running SANs in virtualized environments
  • Learn why Hyper-converged systems are ideal for solving performance issues
  • Learn why Hyper-converged systems are ideal for remote offices
  • Discover real world use-cases where DataCore's Hyper-converged Virtual SAN faced these issues
Hyper-converged Infrastructure: No-Nonsense Selection Criteria
This white paper helps you identify the key selection criteria for building a business savvy hyper-converged infrastructure model for your business based on cost, availability, fitness to purpose and performance. Also, it includes a checklist you can use to evaluate hyper-converged storage options.
Hyper-converged storage is the latest buzz phrase instorage. The exact meaning of hyper-converged storage varies depending on thevendor that one consults, with solutions varying widely with respect to theirsupport for multiple hypervisor and workload types and their flexibility interms of hardware componentry and topology.
 
Regardless of the definition that vendors ascribe to theterm, the truth is that building a business savvy hyper-converged infrastructurestill comes down to two key requirements: selecting a combination ofinfrastructure products and services that best fit workload requirements, andselecting a hyper-converged model that can adapt and scale with changingstorage demands without breaking available budgets.
 
Download this paper to:
  • Learn about hyper-converged storage and virtualSANs
  • Identify key criteria for selecting the right hyper-converged infrastructure
  • Obtain a checklist for evaluating options
DataCore Virtual SAN – A Deep Dive into Converged Storage
Topics: DataCore, storage, SAN
This white paper describes how DataCore’s Virtual SAN software can help you deploy a converged, flexible architecture to address painful challenges that exist today such as single points of failure, poor application performance, low storage efficiency and utilization, and high infrastructure costs.

DataCore Virtual SAN introduces the next evolution in Software-defined Storage (SDS) by creating high-performance and highly-available shared storage pools using the disks and flash storage in your servers. It addresses the requirements for fast and reliable access to storage across a cluster of servers at remote sites as well as in high-performance applications.

Download this white paper to learn about:

•    The technical aspects of DataCore’s Virtual SAN solution - a deep dive into converged storage
•    How DataCore Virtual SAN addresses IT challenges such as single points of failure, poor application performance, low storage efficiency and utilization, and high infrastructure costs.
•    Explore possible use cases and benefits of DataCore’s Virtual SAN

Building a Highly Available Data Infrastructure
Topics: DataCore, storage, SAN, HA
This white paper outlines best practices for improving overall business application availability by building a highly available data infrastructure.
Regardless of whether you use a direct attached storage array, or a network-attached storage (NAS) appliances, or a storage area network (SAN) to host your data, if this data infrastructure is not designed for high availability, then the data it stores is not highly available by extension, application availability is at risk – regardless of server clustering.

Download this paper to:
•    Learn how to develop a High Availability strategy for your applications
•    Identify the differences between Hardware and Software-defined infrastructures in terms of Availability
•    Learn how to build a Highly Available data infrastructure using Hyper-converged storage

The State of Software-Defined Storage (SDS) in 2015
Topics: DataCore, storage, SAN, SDS
For the fifth consecutive year, DataCore Software explored the impact of Software-Defined Storage (SDS) on organizations across the globe. The 2015 survey distills the expectations and experiences of 477 IT professionals that are currently using or evaluating SDS technology to solve critical data storage challenges. The results yield surprising insights from a cross-section of industries over a wide range of workloads. The survey was conducted on April, 2015.
For the fifth consecutive year, DataCore Software explored the impact of Software-Defined Storage (SDS) on organizations across the globe. The 2015 survey distills the expectations and experiences of 477 IT professionals that are currently using or evaluating SDS technology to solve critical data storage challenges. The results yield surprising insights from a cross-section of industries over a wide range of workloads. The survey was conducted on April, 2015.

Why Parallel I/O & Moore's Law Enable Virtualization and SDDC to Achieve their Potential
Today’s demanding applications, especially within virtualized environments, require high performance from storage to keep up with the rate of data acquisition and unpredictable demands of enterprise workloads. In a world that requires near instant response times and increasingly faster access to data, the needs of business-critical tier 1 enterprise applications, such as databases including SQL, Oracle and SAP, have been largely unmet.

Today’s demanding applications, especially within virtualized environments, require high performance from storage to keep up with the rate of data acquisition and unpredictable demands of enterprise workloads. In a world that requires near instant response times and increasingly faster access to data, the needs of business-critical tier 1 enterprise applications, such as databases including SQL, Oracle and SAP, have been largely unmet. 

The major bottleneck holding back the industry is I/O performance. This is because current systems still rely on device -level optimizations tied to specific disk and flash technologies since they don’t have software optimizations that can fully harness the latest advances in more powerful server system technologies such as multicore architectures. Therefore, they have not been able to keep up with the pace of Moore’s Law.

Waiting on IO: The Straw That Broke Virtualization’s Back
In this paper, we will discuss DataCore’s underlying parallel architecture, how it evolved over the years and how it results in a markedly different way to address the craving for IOPS (input/output operations per second) in a software-defined world.
Despite the increasing horsepower of modern multi-core processors and the promise of virtualization, we’re seeing relatively little progress in the amount of concurrent work they accomplish. That’s why we’re having to buy a lot more virtualized servers than we expected.

On closer examination, we find the root cause to be IO-starved virtual machines (VMs), especially for heavy online transactional processing (OLTP) apps, databases and mainstream IO-intensive workloads. Plenty of compute power is at their disposal, but servers have a tough time fielding inputs and outputs. This gives rise to an odd phenomenon of stalled virtualized apps while many processor cores remain idle.

So how exactly do we crank up IOs to keep up with the computational appetite while shaving costs? This can best be achieved by parallel IO technology designed to process IO across many cores simultaneously, thereby putting those idle CPUs to work. Such technology has been developed by DataCore Software, a long-time master of parallelism in the field of storage virtualization.

In this paper, we will discuss DataCore’s underlying parallel architecture, how it evolved over the years and how it results in a markedly different way to address the craving for IOPS (input/output operations per second) in a software-defined world.

Unlock the Full Performance of Your Servers
Unlock the full performance of your servers with DataCore Adaptive Parallel I/O Software

Unlock the full performance of your servers with DataCore Adaptive Parallel I/O Software.

The Problem:

Current systems don't have software optimizations that can fully harness the latest advances in more powerful server system technologies.

As a result, I/O performance has been the major bottleneck holding back the industry.