Home > Resources > Whitepapers > Assuring Application Performance at Scale

Assuring Application Performance at Scale

Arista Networks empowers data center operators with an open and programmable network that easily scales to thousands of compute and storage nodes. VMTurbo adds network aware decisions to assure application performance at scale. This paper explores the benefits of incorporating network traffic to topology information in VM placement decisions, as well as the integration between VMTrubo and Arista Networks.

Spotlight

Icumulus

iCumulus is a new-age global fulfilment platform, leading the revolution of e-commerce, turning it into a totally shared & unified global economy. iCumulus connects your business to a network of global logistics providers, creating a unique shared ecosystem with the most competitive shipping rates. Unlike traditional logistics providers, iCumulus scales not by assets, staff or inventory, but by connecting true demand to supply ensuring best consumer experience. Our comprehensive cloud based e-fulfilment platform manages all distributions, purchasing, into store and consumer deliveries at no additional cost. We want our customers to be free to deal with what's important to them - service their customers, allowing them grow sales and reach new markets.

OTHER WHITEPAPERS

The Complete Cloud Native Security Platform

whitePaper | August 16, 2020

Unleash the full potential of your cloud native transformation and accelerate innovation with the confidence that your cloud native applications are secured from start to finish, at any scale. Aqua Platform protects your entire stack, on any cloud, across VMs, containers, and serverless. Accelerate development by detecting security issues in your artifacts early and shortening time to remediate. «Shift left» security into the CI/CD pipeline, get full visibility into the security posture of your pipeline and reduce the attack surface before application deployment.

A Beginners Guide to Conversational AI

whitePaper | September 22, 2021

The value of conversational AI is clear—meaning it’s time to take the next step and begin setting specific goals if you want to see real returns on your investment. Access this beginner’s guide to conversational AI to learn important industry terms and explore the questions you need to be asking as you explore different solutions.

The Industrialization of AI

whitePaper | September 15, 2022

No broad industry trend, not client/server computing, not affordable hardware, not even the cloud itself, promises to so completely reshape the enterprise than artificial intelligence (AI). Melding decades-old mathematical principles with cutting edge algorithms and readily available, high performance hardware, AI is creating a seismic shift in the way companies across all industries build, maintain, and understand their core and departmental business operations.

Enterprise Use of Artificial Intelligence and Machine Learning

whitePaper | September 19, 2022

The field of artificial intelligence (AI) traces back to the 1950s. More recently, the increased availability of both data and computing power has bolstered rapid adoption of AI and machine learning (ML) solutions (collectively, AI/ML)

The Commonsense Path to Simple and Secure Remote Worker IT Management

whitePaper | July 28, 2022

Many businesses have recently evolved to support large remote or hybrid workforces. This initial transition was imagined to be temporary, relying on home networks to provide the connectivity needed for work. Now, two years later, companies are contemplating technology improvements to address a more permanent remote workforce.

Leveraging a comprehensive reference architecturefor AI that significantly reduces time-to-insight

whitePaper | September 29, 2021

Penguin Computing’s Analytics Practice acts as a single point of reference for hardware, software, architectural design, and much more, enabling organizations to focus their energy on their AI projects. Access this white paper to learn more about this secure, end-to-end solution designed to alleviate AI infrastructure woes.

Assuring Application Performance at Scale