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Showing 1 - 5 of 5 white papers, page 1 of 1.
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.

Creating a Public Cloud Experience In-House
With Stratoscale’s Amazon cloud alternative, users achieve the efficiency and business agility that take the modern data center to the next level with scalable, on-demand IT. Understand all the requisites to implement a private cloud. Define the requirements, pick the right hardware and software, deal with security and governance, and finally, successfully implement private clouds.

The cloud has revolutionized the way we build IT systems within enterprises. Indeed, enterprise IT’s goal since the inception of cloud computing has been to replicate the power of cloud computing within their own data centers. The trouble is that cloud computing systems were built net-new, which meant they could start from scratch and thus be more innovative with the use of cloud-based resources using the most modern technology and approaches available. Enterprises don’t have the same luxury. Decades of enterprise hardware and software purchases exist at different levels of maturation, and those structures must also support mission-critical systems in operations.

However, things are changing. New technology now provides enterprises with the public cloud experience,which includes:

  • Elastic use of compute resources, such as storage and compute.
  • Metered resource charge-back, meaning you only pay for the resources you use.
  • Auto- and self-provisioning; you can spin up and spin down resources as you need them.
  • Tight integration with new approaches and technologies, such as DevOps and the Internet of Things (IoT).
  • Business agility, which is perhaps the most valuable aspect of using the clouds, means that you can quickly change applications and resources with almost no impact on operations.
Building a Private Cloud, Step by Step
The private cloud is a well-used architecture and technology within enterprises. Even so, most enterprises are still not well-versed in how to define, build, and deploy private clouds. There is a “gap of confusion” that exists between the proper use of private clouds and rank-and-file enterprise IT. In this page we’ll attempt to unveil the mystery of private cloud. We will provide you with a step-by-step guide to understand your own requirements, pick the right hardware and software, deal with se

The private cloud offers most of the advantages of the public cloud: Self-service and scalability, multi-tenancy, the ability to provision machines, and change computing resources on-demand. Private cloud also improves on security by limiting access to key IT people. Complexities are emerging for DevOps teams around their "infrastructure as code" practices as larger companies consider moving their most business-critical applications off the public cloud and onto private/hybrid clouds.

Complexity issues include:

  • Time-consuming infrastructure configuration and maintenance.
  • Inconsistent visibility into infrastructure utilization and cost.
  • Ever increasing complexity with custom requirements in every project.

Private clouds are specialized cloud computing implementations that are purpose-built to address some limitation or shortcoming around the use of public clouds. Core factors that drive private cloud adoption are compliance, security, and even the sense of control that many in enterprise IT require. Or, think they require.

As DevOps organizations are built within enterprises, private clouds as the deployment platforms mesh well with existing DevOps automation approaches and tool sets. Those within enterprises can tell you that private clouds are a sound architectural option, and they require “some time.” Just as public clouds require “some time.” Most enterprises will end up with both, using hybrid or multi-cloud implementations. In this paper, we’ll focus on private clouds, and the steps to successfully implement private clouds.

Approaches and Benefits of Network Virtualization
Businesses today aspire to achieve a software-defined datacenter (SDDC) to enhance business agility and reduce operational complexity. However, the SDDC solutions available today forgot about the most complex part of your infrastructure — the network. Network virtualization is critical to simplify application scaling and improve application performance without lengthy maintenance windows and potential security risks.

Businesses today aspire to achieve a software-defined datacenter (SDDC) to enhance business agility and reduce operational complexity. However, the SDDC solutions available today forgot about the most complex part of your infrastructure—the network.

Network virtualization is critical to simplify application scaling and improve application performance without lengthy maintenance windows and potential security risks.
 
In this whitepaper you will be introduced to Cloudistics Ignite’s Adaptive Overlay Network (AON) technology that provides the following benefits:
◦    Simplifies and automates network provisioning, avoiding manual errors common when dealing with physical networks, VLANs, etc.

  • Enables you to scale your business to multi-site locations without unnecessary costly hardware purchases and lengthy maintenance windows
  • Enables you to fine-tune your application’s performance and security through dedicated virtual networks that can be deployed in minutes

Natively built-into the Ignite platform, lowering costs by eliminating the need for 3rd party software and hardware