Arista-20 Years of Growth and Innovation
Today marks the 20th anniversary of Arista! Over that time, our company has grown from nothing to #1 in Data Center Ethernet, a highly profitable...
1 min read
Jayshree Ullal : Mar 7, 2017 6:00:00 AM
Today’s applications are connected both to users and other applications, increasing traffic and profoundly affecting performance. Recently, there has been much discussion around the Application Performance Management (APM) category. This got me thinking about new cloud migration versus legacy application tools. Is the industry being myopic and dealing with silos?
Wouldn’t it be amazing if the same software capabilities worked consistently across networks and servers? Sadly the deployment, maintenance and management of these legacy networks are limited by dated and monolithic operating systems of yesteryear. This gap is only getting wider. How does one truly scale across millions of composable machines and workloads?
There is an industry quest for packing more applications on each server, known as “microservices”. This, and the acceleration of native cloud apps deployment, creates new needs for containers. Arista cEOS™, or containerized Extensible Operating System, is a packaged application that provides controls across the network. Arista cEOS is deployed as a container upon a platform such as Docker, while Linux provides the native OS for the network with the same baseline state mechanisms as NetDB. Shown in the figure below:
Containerization also has multi-faceted use cases, including when:
Customers have the ability to deploy EOS natively on a physical switch or virtual appliance for virtual networking (vEOS), or now as a containerized application (cEOS). We continue to work closely with our partners such as VMware and Docker to expand visibility via our tracers, such as VMTracer and Container Tracer, in a transparent, seamless manner across diverse workloads.
At Arista we see containerization as the frontier for data driven networking. The ability to isolate network interactions transforms the network from an IT cost center to a business driver. In this new software driven learning paradigm, EOS can self-learn the data (consisting of many micro work-x services), instead of approaching it as app silos. Welcome to Arista EOS 2017 for next generation cloud containerization!
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