Jayshree Ullal

Author Archives: Jayshree Ullal

The New Edge as a Service

As we enter 2022, there is much discussion on the “post-pandemic” world of campus and how it’s changing. Undoubtedly, the legacy 2000 era campus was mired in complexity, with proprietary features, siloed designs, and fragile software ripe for change. This oversubscribed campus is riddled with challenges, including critical outages causing risk-adverse behaviors and labor-intensive roll-outs hampering improvements. The future of the campus has changed as the lines between corporate headquarters, home, remote and transit workers are blurring and creating distributed workspaces. Before the pandemic, the most common network designs were rigidly hierarchical. They were based upon a manual model developed in the mid-1990s. As the demand for scale increased, the end user experience was degraded and the cost per connected host continued to escalate.

Are we ready to evolve the legacy campus to a new cognitive edge for the new and dispersed class of users, devices and IoT/OT? I think so and the time to recalibrate and redesign the campus is now!

The Migration from Network Security to Secure Networks

Over the last few years, we have seen an age of edgeless, multi-cloud, multi-device collaboration for hybrid work giving rise to a new network that transcends traditional perimeters. As hybrid work models gain precedence through the new network, organizations must address the cascading attack surface. Reactionary, bolt-on security measures are simply too tactical and expensive.

The Next Frontier in AI Networking

The rapid arrival of real-time gaming, virtual reality and metaverse applications is changing the way network, compute memory and interconnect I/O interact for the next decade. As the future of metaverse applications evolve, the network needs to adapt for 10 times the growth in traffic connecting 100s of processors with trillions of transactions and gigabits of throughput. AI is becoming more meaningful as distributed applications push the envelope of predictable scale and performance of the network. A common characteristic of these AI workloads is that they are both data and compute-intensive. A typical AI workload involves a large sparse matrix computation, distributed across 10s or 100s of processors (CPU, GPU, TPU, etc.) with intense computations for a period of time. Once the data from all peers is received, it can be reduced or merged with the local data and then another cycle of processing begins.

Arista’s Evolution to Data-Driven Networking

Arista’s EOS (Extensible Operating System) has been nurtured over the past decade, taking the best principles of extensible, open and scalable networks. While SDN evangelists insisted that the right way to build networks started with the decoupling of hardware and software in the network, manipulated by a centralized, shared controller, many companies failed to provide the core customer requisite in a clean software architecture and implementation coupled with key technical differentiation. This has been the essence of Arista EOS.

Wireless LANS in the 21st Century

The power and potential of the next generation cognitive campus are transformative as the industry undergoes a massive transition to hybrid work in the post-pandemic era. A key underpinning to successful campus networking deployments has been our very first acquisition of Mojo Networks for cognitive Wi-Fi. Arista’s entry into wireless is only in its third year, yet the advances in this space will be profound over the next decade.

The Next Phase of Cloud-Grade Routing

In the past decade, the emergence of cloud networks has blurred the line between switching and routing versus traditional routers. Today the industry is at an inflection point, where the adoption of cloud principles for routing intersects the rapidly expanding capabilities of the merchant silicon feature set and scale, creating a disruption of legacy routing architectures.

The Data Driven Enterprise

The rise of cloud migration for enterprises with mission critical applications is redefining the data center. The reality for any enterprise: a systematic approach balancing workloads in the cloud and premises while securing data. Data and applications must be managed as critical assets in the 21st century.

The Data Driven Enterprise

The rise of cloud migration for enterprises with mission critical applications is redefining the data center. The reality for any enterprise: a systematic approach balancing workloads in the cloud and premises while securing data. Data and applications must be managed as critical assets in the 21st century.

The Client to Cloud Enterprise

Every CIO needs to adopt a cloud strategy typically moving some e-commerce workloads to the public cloud. Yet, the migration path for the modern enterprise can be constrained by legacy barriers. With mission-critical applications that run in a diverse suite of legacy mainframe to helpdesk to IoT devices, how does one get started and what does this entail?

The reality for any enterprise whose core business is driven by a reliance on corporate-owned technology structure with strict ownership of critical assets is that it operates with many constraints. The cloudification and multi-cloud strategy requires a more pragmatic and systematic approach balancing workloads in the cloud and on-premise enterprise networks.

The Client to Cloud Enterprise

Every CIO needs to adopt a cloud strategy typically moving some e-commerce workloads to the public cloud. Yet, the migration path for the modern enterprise can be constrained by legacy barriers. With mission-critical applications that run in a diverse suite of legacy mainframe to helpdesk to IoT devices, how does one get started and what does this entail?

The reality for any enterprise whose core business is driven by a reliance on corporate-owned technology structure with strict ownership of critical assets is that it operates with many constraints. The cloudification and multi-cloud strategy requires a more pragmatic and systematic approach balancing workloads in the cloud and on-premise enterprise networks.

The Time for Zero Trust Networking is Now

Arista is trusted and powers the world’s largest data centers and cloud providers based on the quality, support and performance of its products. The experience gained from working with over 7000 customers has helped redefine software defined networking and many of our customers have asked us how we plan to address security. To us, security must be a holistic and inherent part of the network. Our customers have been subjected to the fatigue of point products, reactive solutions, proprietary vendor lock-ins and most of all, operational silos created between CloudOps, NetOps, DevOps and SecOps. By leveraging cloud principles, Arista’s cloud network architectures bring disparate operations together to secure all digital assets across client to IoT, campus, data center and cloud protecting them from threats, thefts and compromises.

The Time for Zero Trust Networking is Now

Arista is trusted and powers the world’s largest data centers and cloud providers based on the quality, support and performance of its products. The experience gained from working with over 7000 customers has helped redefine software defined networking and many of our customers have asked us how we plan to address security. To us, security must be a holistic and inherent part of the network. Our customers have been subjected to the fatigue of point products, reactive solutions, proprietary vendor lock-ins and most of all, operational silos created between CloudOps, NetOps, DevOps and SecOps. By leveraging cloud principles, Arista’s cloud network architectures bring disparate operations together to secure all digital assets across client to IoT, campus, data center and cloud protecting them from threats, thefts and compromises.

Goodbye 2020, Hello 2021!!

I don’t know about you but I am eagerly looking forward to the new year erasing all the negativity and losses that 2020 brought to our broader lives, health and the global economy. Today I digress to make some predictions on the post-pandemic era that are likely to change the way we live, learn, work and play, blending the lines between those distinct functions we had once partitioned.

Goodbye 2020, Hello 2021!!

I don’t know about you but I am eagerly looking forward to the new year erasing all the negativity and losses that 2020 brought to our broader lives, health and the global economy. Today I digress to make some predictions on the post-pandemic era that are likely to change the way we live, learn, work and play, blending the lines between those distinct functions we had once partitioned.

Looking Glass of Cloud Networking

Since the 2000 era, the network has changed dramatically, becoming more and more mission-critical. There are so many drivers powering today’s digital network transformation. Think about the Internet of Things or the cloud native applications or OT, operational technology. All of these are connected via cognitive cloud networking with its agile software stack, programmability and a leaf-spine network for all traffic types. This cloud network, pioneered by Arista is hungry for more innovation when it comes to secure visibility. It is a hard problem after all—network data is orders of magnitude more voluminous then typical data sources of ingestion.

Looking Glass of Cloud Networking

Since the 2000 era, the network has changed dramatically, becoming more and more mission-critical. There are so many drivers powering today’s digital network transformation. Think about the Internet of Things or the cloud native applications or OT, operational technology. All of these are connected via cognitive cloud networking with its agile software stack, programmability and a leaf-spine network for all traffic types. This cloud network, pioneered by Arista is hungry for more innovation when it comes to secure visibility. It is a hard problem after all—network data is orders of magnitude more voluminous then typical data sources of ingestion.

The Next Generation of Cognitive Campus Workspaces

Campus networks are undergoing another massive transition in the COVID teleworking era. With this fundamental shift and as administrators consider an interconnected IoT (Internet of Things) environment, the boundary between the office, home, teleworker and user is converging. Security concerns with ever-increasing threat vectors are substantiated. How does one secure an IoT environment and guard against malware and outbreaks? How is the network impacted as some workloads shift to the cloud? Why do we cope with wired and wireless silos? The challenge lies in successfully transitioning the existing siloed campus into an integral data-driven model for clients, users and devices from IoT to cloud with a common experience, while addressing security and availability needs with lower operational costs. These are the key requirements of the third-generation campus evolution as shown in the figure below.

The Next Generation of Cognitive Campus Workspaces

Campus networks are undergoing another massive transition in the COVID teleworking era. With this fundamental shift and as administrators consider an interconnected IoT (Internet of Things) environment, the boundary between the office, home, teleworker and user is converging. Security concerns with ever-increasing threat vectors are substantiated. How does one secure an IoT environment and guard against malware and outbreaks? How is the network impacted as some workloads shift to the cloud? Why do we cope with wired and wireless silos? The challenge lies in successfully transitioning the existing siloed campus into an integral data-driven model for clients, users and devices from IoT to cloud with a common experience, while addressing security and availability needs with lower operational costs. These are the key requirements of the third-generation campus evolution as shown in the figure below.

Security’s Role in Client to Cloud Networking

The Networking industry is undergoing a metamorphosis. Modern networking operations teams are challenged to cope with multiple operational models. As attackers become better and better at breaching our defenses, security analysts are increasingly at the heart of a security organization. The operators are responsible for detecting, investigating and remediating potential breaches before they progress into brand, customer, financial and IP damage. This confluence of DevOps, NetOps, SecOps, and CloudOps demands persistent operations control. How do you cope with decades of security, threat and cyber detection done in reactive silos? What happens as more workloads move to the cloud? At Arista, we value our ecosystem of security partners and networking must adapt to the new complex threats.

Security’s Role in Client to Cloud Networking

The Networking industry is undergoing a metamorphosis. Modern networking operations teams are challenged to cope with multiple operational models. As attackers become better and better at breaching our defenses, security analysts are increasingly at the heart of a security organization. The operators are responsible for detecting, investigating and remediating potential breaches before they progress into brand, customer, financial and IP damage. This confluence of DevOps, NetOps, SecOps, and CloudOps demands persistent operations control. How do you cope with decades of security, threat and cyber detection done in reactive silos? What happens as more workloads move to the cloud? At Arista, we value our ecosystem of security partners and networking must adapt to the new complex threats.

1 2 3 5