This whitepaper details scale-out cloud network designs enabled with the new Arista 7500E second-generation linecard and fabric modules.
This whitepaper details the investment protection capabilities of the Arista 7500 E-Series linecards and fabrics and how they utilize the Arista 7500 chassis and interoperate with existing Arista 7500 linecards and fabric modules.
Arista Data ANalyZer (DANZ) is an integrated feature set in Arista's Extensible Operating System and is currently available on Arista Networks 7150-series switches. DANZ provides a solution to monitoring and visibility challenges at 10/40Gbps and higher with unmatched price-performance and precision. DANZ functionality will be available across the majority of the Arista product line in the summer of 2013.
This document provides an overview of how VXLAN works. It also provides criteria to help determine when and where VXLAN can be used to implement a virtualized infrastructure. A key benefit of virtualization, especially in the case of VMware’s vSphere, is the ability to move virtual machines (VMs) among data center servers while the VM is running! This feature, also know as vMotion, simplifies server administration and provisioning without impacting VM functionality or availability. To support vMotion, VMs must always remain in their native IP subnet. This guarantees network connectivity from the VM to users on the rest of the network.
Data center operators are expanding data centers to deliver virtualized and cloud-based services including business continuity and disaster recovery solutions. These additional service and availability requirements lead to increased bandwidth and greater distances between geographically dispersed data center sites. As new services are added data center environments that were once fiber-rich can quickly run out of fiber and find the associated cost for adding more fiber to be prohibitively expensive. Cost-effective embedded DWDM and distance extension solutions can reduce complexity, operating costs and enable a rapid delivery of new services.
Over the past several years there has been in a shift within the Bioscience research community industry regarding the types of computer applications and infrastructures that are deployed to sequence, analyze, compare, and model gene information. Today there exists large petabytes of already sequenced data that are contained in publically and privately available databases. This large growth in already sequenced data, and the mining of this data for further research is driving the need for state-of-the-art computing clusters. This in-depth paper describes several of the specific switching functions required to optimize the performance of life science computing clusters, and the considerations when choosing high speed Ethernet switching for Bioscience research clusters.
Testing conducted by Solarflare and Arista Networks reveals single-digit microsecond TCP and UDP applications latency can be achieved with commercially available 10Gb Ethernet Switch and Server Adapter Products.
Big Data is comprised of datasets that grow so large that they become cumbersome to work with using on-hand database management tools. Difficulties include capture, storage, search, sharing, analytics, and visualizing. The growth trend continues because of the benefits of working with larger and larger datasets which allows analysts to discover business trends and solve problems. Though a moving target, current limits are on the order of terabytes, exabytes and zetabytes of data.
Microseconds matter in the ultra-competitive world of High Frequency Trading (HFT). Trading architectures that deliver the lowest latency solution are the difference between profit and loss for these financial firms. IBM, Mellanox and Arista have combined to demonstrate a low latency messaging transport solution that facilitates the high-speed delivery of market, trade, reference and event data, in or between front-, middle and back-office operations.
The extensible design principles of Arista’s EOS provide the ability to rapidly customize EOS to meet your operational requirements. Instead of creating ‘off box’ scripts/tools or waiting year(s) for your chosen vendor to react you can easily customize EOS.
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