Author Archives: Jayshree Ullal
Author Archives: Jayshree Ullal
As we celebrate the 5thAnniversary of Arista’s IPO this week at NYSE, we pause to reflect on this key milestone. Arista’s results are a tribute to the customers who chose us, appreciated our innovative technology and stood by us through our highs and lows. One key customer who played a pivotal part in the decade was Microsoft. Microsoft coincidentally was destined to be a part of our journey since 2008 when we were searching for a new name for our company. Our top choice was Azure, but the domain name was taken just a few weeks before we started our naming effort. Since then, Microsoft redefined the public cloud with Azure and Arista has become a critical foundation to enabling the scale, reach, reliability, and performance that have become synonymous with the Azure cloud.
Last August, Arista made its first acquisition, Mojo Networks, to transform the future of WiFi and campus networks. Just as Arista disrupted the datacenter with important architectural and technology-based innovations, I believe this is a similar pioneering step for the campus. Over the past two decades, the industry has deployed a WiFi controller-based architecture. This stagnant “WLC” approach for wireless connectivity has not evolved to address costly operational dilemmas such as:
Networking vendors have long touted distinct routers and switches with different LAN/WAN interfaces for different customer use cases. After three decades of evolution, Ethernet now truly addresses all aspects of the present state and the next generation of networking, making it possible to support these previously separate use cases from a single common platform, which flexibly incorporates new capabilities in an open, standards-based approach. Arista, together with an ecosystem of partners including Broadcom and Cloud Titan customers, has a history of collaborating in many industry forums to define these new networking capabilities, including OCP, 25/50G and COBO, while driving next generation optics such as OSFP and QSFP-DD.
Until now the intersection of human healthcare and networking machines was somewhat loosely coupled. Healthcare has been historically stymied by regulations and compliance issues making the adoption of modern IT challenging. Yet today in a quest for longer and healthier lives we are driven by metrics to monitor our health, measure continuous feedback of our heart, breathing and track our physical activity and exercise. Digital healthcare is impacting the continuum of patient care and the overall patient experience, generating exponential increases in data, and creating unprecedented demand for increased network speeds and agility. Just as the financial industry took to modernizing real time banking, the time has arrived to leverage the power of the network to modernize healthcare.
Silicon Valley is both an addiction and passion where entrepreneurs seek the realm of the impossible. Real-time language translation, fraud detection, and autonomous vehicle control are being addressed through the use of neural network models, detecting patterns and behaviors across massive amounts of structured and unstructured data. Indeed, change is not only a constant progression in Silicon Valley, it is a continuum in time. Every piece of traditional technology has to imminently become smarter, challenged or be eliminated. While this transformation is especially true for entrepreneurs, invention is not limited to start-ups. I have witnessed several waves of evolution and revolution during my journey in Silicon Valley in both high-tech and networking.
Arista’s focus on disruption, with datacenters and routing, transforming siloed places in the network to seamless Places In the Cloud (PICs) has been well appreciated by our customers. Our cloud networking decade has been achieved by upholding these cloud principles and I believe these trends will influence cognitive campus PICs. Legacy campus networks suffer from a similar complexity of too many layers, boxes, cables, operating systems, proprietary features and network management choices. A change is very much needed and welcome in the 2020 era.
When I joined Arista ten years ago, we were in the midst of developing a novel purpose-built software architecture from a clean sheet of paper for networking. The financial services industry was in crisis, with the collapse of major banks like Lehman Brothers. In parallel, emerging slowly but surely, was a new breed of hyper-scale cloud operators. Amazon AWS, Microsoft Azure and Google GCP were in the early stages of shaping what was to become the public cloud. The requirements of these new titans provided a source of inspiration for the Arista founders and me. We couldn’t have predicted the pace nor the impact of this cloud fury; it came strongly and rapidly. As I reminisce over the past decade, it is clear that the cloud inflection has forever changed the face of enterprise IT for the better. Yet it is just the beginning, and there is much ahead.
Every CXO worries about security because the perimeter is changing; in fact, there are no walls for protection. The lines between cloud, workloads, applications, enterprise networks and hosts are blurring and the challenges are getting exponentially greater. The true security architect must rapidly address the reality of a more holistic network-wide security strategy. It must be one that goes beyond the cyber threat of the day to address the risk, scale and mitigation of persistent security issues. The state of cyber security needs urgent resolution because:
Every CXO worries about security because the perimeter is changing; in fact, there are no walls for protection. The lines between cloud, workloads, applications, enterprise networks and hosts are blurring and the challenges are getting exponentially greater. The true security architect must rapidly address the reality of a more holistic network-wide security strategy. It must be one that goes beyond the cyber threat of the day to address the risk, scale and mitigation of persistent security issues. The state of cyber security needs urgent resolution because:
At Arista Networks, great technology and leadership inspires us to innovate and continue our mission to reinvent. It’s an ongoing journey to create the right leaders and disruptive technology for market transitions and Arista’s evolution. Today I digress a bit, as I was reading a 2017 Harvard Business Review article on the four key traits identified for successful CEOs. So much of it resonated with me with respect to the Arista way and our company culture. Let’s review how these traits apply to a fast-paced technology company like Arista.
At Arista Networks, great technology and leadership inspires us to innovate and continue our mission to reinvent. It’s an ongoing journey to create the right leaders and disruptive technology for market transitions and Arista’s evolution. Today I digress a bit, as I was reading a 2017 Harvard Business Review article on the four key traits identified for successful CEOs. So much of it resonated with me with respect to the Arista way and our company culture. Let’s review how these traits apply to a fast-paced technology company like Arista.
There is a shift happening in the world of Artificial Intelligence requiring a new breed of servers, storage and cloud networks. Artificial intelligence applications for patterns, photos and speech recognition have driven a processor evolution from CPUs to NPUs to now, GPUs. Networking is witnessing a parallel evolution and pushing the scale of shuttling massive data between machines. It creates an ever-increasing need for control over the way networks are rebuilt. Building these networks requires both, programmable paths to drive intelligence and uncompromised performance. Doing both hasn’t been easy until now.
There is a shift happening in the world of Artificial Intelligence requiring a new breed of servers, storage and cloud networks. Artificial intelligence applications for patterns, photos and speech recognition have driven a processor evolution from CPUs to NPUs to now, GPUs. Networking is witnessing a parallel evolution and pushing the scale of shuttling massive data between machines. It creates an ever-increasing need for control over the way networks are rebuilt. Building these networks requires both, programmable paths to drive intelligence and uncompromised performance. Doing both hasn’t been easy until now.
At Arista Networks, the status quo inspires us to innovate and continue our mission to reinvent the network – from cloud to client. Today, we’re continuing that journey – into the campus network. Let’s face it; the legacy three-tier architecture of access-aggregation-core is wasteful and oversubscribed – creating a perfect storm for market transitions and Arista innovation.
At Arista Networks, the status quo inspires us to innovate and continue our mission to reinvent the network – from cloud to client. Today, we’re continuing that journey – into the campus network. Let’s face it; the legacy three-tier architecture of access-aggregation-core is wasteful and oversubscribed – creating a perfect storm for market transitions and Arista innovation.
At Arista we have always embraced open networking trends by designing our hardware and software to be as programmable as possible, driving the use of merchant silicon and diversity for the broader industry. It has allowed our customers to select their favorite silicon architectures for the switch pipeline and choose the suite of software and hardware they want to form their cognitive network systems.
At Arista we have always embraced open networking trends by designing our hardware and software to be as programmable as possible, driving the use of merchant silicon and diversity for the broader industry. It has allowed our customers to select their favorite silicon architectures for the switch pipeline and choose the suite of software and hardware they want to form their cognitive network systems.
Artificial Intelligence, machine and deep learning have to be among the most popular tech-words of the past few years, and I was hoping that I wouldn’t get swept away by it. But when I heard a panel on this topic at our customer event this month on the state of AI networks, I found it incredibly fascinating and it piqued my curiosity! Let me start with a note of disclaimer for readers who are expecting a deep tutorial from me. There is a vast amount of research behind models and algorithms on this topic that I will not even attempt to cover. Instead I will try to share some thoughts on the practical relevance of this promising field.
Artificial Intelligence, machine and deep learning have to be among the most popular tech-words of the past few years, and I was hoping that I wouldn’t get swept away by it. But when I heard a panel on this topic at our customer event this month on the state of AI networks, I found it incredibly fascinating and it piqued my curiosity! Let me start with a note of disclaimer for readers who are expecting a deep tutorial from me. There is a vast amount of research behind models and algorithms on this topic that I will not even attempt to cover. Instead I will try to share some thoughts on the practical relevance of this promising field.
You are probably expecting me to write another monthly blog on exciting innovative technology. Today I digress and reflect on recent awards and accolades Arista has received and how we got here. At Arista, we have worked very hard to become a great company. Building a good company takes constant hard work and heavy lifting. Making a great company is an even harder work-in-progress, demanding tenacity, especially in high technology, where disruptions are daunting and challenges are frequent.