How Arista Networks Got out in Front of the SDN Craze Arista CEO Jayshree Ullal Says ‘Cloud Networking Leader’ Complements Cisco
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Arista Networks, Inc. (Exact Name of Registrant As Specified in Its Charter)
UNITED STATES SECURITIES AND EXCHANGE COMMISSION Washington, D.C. 20549 FORM 10-Q (Mark One) ☒ QUARTERLY REPORT PURSUANT TO SECTION 13 OR 15(d) OF THE SECURITIES EXCHANGE ACT OF 1934 For the quarterly period ended September 30, 2019 or ☐ TRANSITION REPORT PURSUANT TO SECTION 13 OR 15(d) OF THE SECURITIES EXCHANGE ACT OF 1934 For the transition period from to Commission File Number: 001-36468 Arista Networks, Inc. (Exact Name of Registrant as Specified in its Charter) Delaware 20-1751121 (State or Other Jurisdiction of Incorporation or Organization) (I.R.S. Employer Identification No.) 5453 Great America Parkway , Santa Clara , California 95054 (Address of principal executive offices) (Zip Code) (408) 547-5500 (Registrant’s telephone number, including area code) Not Applicable (Former name, former address and former fiscal year, if changed since last report) Securities registered pursuant to Section 12(b) of the Act: Title of each class Trading Symbol(s) Name of each exchange on which registered Common Stock, $0.0001 par value ANET New York Stock Exchange Indicate by check mark whether the registrant (1) has filed all reports required to be filed by Section 13 or 15(d) of the Securities Exchange Act of 1934 during the preceding 12 months (or for such shorter period that the registrant was required to file such reports), and (2) has been subject to such filing requirements for the past 90 days. Yes x No o Indicate by check mark whether the registrant has submitted electronically every Interactive Data File required to be submitted pursuant to Rule 405 of Regulation S-T (§232.405 of this chapter) during the preceding 12 months (or for such shorter period that the registrant was required to submit such files). -
Arista Networks NYSE: ANET Recommendation: BUY
Arista Networks NYSE: ANET Recommendation: BUY Alex Tullman & Connor O’Brien Investment Thesis Recommendation: Arista Networks is (NYSE: ANET) is a great high growth stock as it holds a position as the high-end provider and lead innovator in a rapidly growing industry, while currently being underpriced because of a market overreaction. Rationale: The current price of $193.68 provides a cheap entry into a company on the supplier side of one of the fastest growing sectors in tech. As a recognized high-end supplier, Arista Network will continue to succeed as long as cloud network services are demanded. 1. Strong tailwinds and growth potential in the cloud network industry 2. Arista Network is known as the high-end provider for specialized cloud network hardware and software 3. Recent 25% drop in share price is an overreaction that has left the stock undervalued Price Target: $230.73 19.17% upside to current price of $193.68 2 Company Overview Overview Management • Arista Networks, Inc. develops, markets, and sells, cloud • President and CEO (2008-Present) networking solutions in the U.S. and internationally • Jayshree – left 15-year career with Cisco to be CEO • Solutions consist of extensible operating systems, a set of network • Chief Development Officer and Chairman (2004-Present) applications, and gigabit Ethernet switching and routing • Bechtolsheim – gigabit startup acquired by Cisco, VP of platforms – focus is on ethernet switches Gigabit Systems Business at Cisco • Contracts with Jabil Circuit, Sanmina Corp., and Foxconn to • Founded Arista Network in 2004 to create a company make its switches more specialized in gigabit ethernet switches • Has approximately 5,500 end customers worldwide in • OG investor in google, founder of Sun Microsystems approximately 86 countries. -
Deploying IP Storage Infrastructures
White Paper Deploying IP Storage Infrastructures The cost of deploying and maintaining traditional storage networks is growing at an exponential rate. New requirements for compliance and new applications such as analytics mean that ever-increasing volumes of unstructured data are collected and archived. Legacy storage networks cannot meet the need to scale-out capacity while reducing capital and operational expenditures. In response to this challenge, new storage architectures based on IP/Ethernet have evolved, and are being adopted at an ever-increasing rate. While technologies such as NAS and iSCSI are widely deployed, Fibre Channel SANs have maintained a dwindling but still strong presence in enterprise architectures. This paradigm is beginning to change as scale-out storage systems enabled by Software Defined Storage (SDS) are increasingly mature. The ability to reclaim stranded Direct Attached Storage (DAS) assets in a server infrastructure combined with the efficiencies gained by running storage traffic over the same IP/Ethernet network as standard data traffic provides an undeniably strong opportunity to reduce both the capex and opex required to deploy and run a storage infrastructure. According to some estimates, as much as a 60% capex reduction is achievable by deploying an SDS architecture which leverages server DAS to create a VSAN. Even without such radical savings, scale-out storage relying on IP/Ethernet offers dramatic savings over traditional Fibre Channel based storage. Most future IT asset deployments will leverage 10 Gigabit Ethernet (10GbE) and now 40 Gigabit Ethernet [40GbE]) for the underlying storage interconnect for newer applications. Traditional datacenter networks however are not designed to support the traffic patterns and loss characteristics to reliably deploy an IP/Ethernet storage infrastructure. -
Stanley: the Robot That Won the DARPA Grand Challenge
Stanley: The Robot that Won the DARPA Grand Challenge ••••••••••••••••• •••••••••••••• Sebastian Thrun, Mike Montemerlo, Hendrik Dahlkamp, David Stavens, Andrei Aron, James Diebel, Philip Fong, John Gale, Morgan Halpenny, Gabriel Hoffmann, Kenny Lau, Celia Oakley, Mark Palatucci, Vaughan Pratt, and Pascal Stang Stanford Artificial Intelligence Laboratory Stanford University Stanford, California 94305 Sven Strohband, Cedric Dupont, Lars-Erik Jendrossek, Christian Koelen, Charles Markey, Carlo Rummel, Joe van Niekerk, Eric Jensen, and Philippe Alessandrini Volkswagen of America, Inc. Electronics Research Laboratory 4009 Miranda Avenue, Suite 100 Palo Alto, California 94304 Gary Bradski, Bob Davies, Scott Ettinger, Adrian Kaehler, and Ara Nefian Intel Research 2200 Mission College Boulevard Santa Clara, California 95052 Pamela Mahoney Mohr Davidow Ventures 3000 Sand Hill Road, Bldg. 3, Suite 290 Menlo Park, California 94025 Received 13 April 2006; accepted 27 June 2006 Journal of Field Robotics 23(9), 661–692 (2006) © 2006 Wiley Periodicals, Inc. Published online in Wiley InterScience (www.interscience.wiley.com). • DOI: 10.1002/rob.20147 662 • Journal of Field Robotics—2006 This article describes the robot Stanley, which won the 2005 DARPA Grand Challenge. Stanley was developed for high-speed desert driving without manual intervention. The robot’s software system relied predominately on state-of-the-art artificial intelligence technologies, such as machine learning and probabilistic reasoning. This paper describes the major components of this architecture, and discusses the results of the Grand Chal- lenge race. © 2006 Wiley Periodicals, Inc. 1. INTRODUCTION sult of an intense development effort led by Stanford University, and involving experts from Volkswagen The Grand Challenge was launched by the Defense of America, Mohr Davidow Ventures, Intel Research, ͑ ͒ Advanced Research Projects Agency DARPA in and a number of other entities. -
National Centre for Nuclear Research
Case Study National Centre for Nuclear Research Arista helps National Centre for Nuclear Research build a Highlights low latency and high performance network infrastructure to support supercomputing excellence Challenge Polish National Centre for Nuclear Research and its Świerk Computing Centre needed to improve its core network infrastructure to facilitate the upgrade of its supercomputing resources and provide a more efficient foundation for further The Polish National Centre for Nuclear Research provides a growth. catalyst for pure research and numerous practical applications Solutions across science and the wider economy. In response to • Arista 7050 Series Switches demands from the Polish national energy sector, the Centre • Arista EOS® established the Świerk Computing Centre and began a major program to upgrade its critical infrastructure to increase • Coraid EtherDrive performance with the ability to scale further over the next Results decade. Through switching to Arista, Świerk has dramatically • Wire-speed performance on all switching ports increased its uplink connections bandwidth, while reducing latency and built the foundation to scale its IT resources in line • Significant reduction in latency with new groundbreaking scientific and commercial projects. • Dramatically lower energy consumption • Switch to MLAG doubles bandwidth capacity • HPC application running directly within the switch boost computational performance • Advanced admin tools (XMPP, JSON RPC) reduce management complexity and speed up configuration changes arista.com Case Study Project Background With over 1000 employees, the National Centre for Nuclear Research is one of the oldest and the largest research institutes in Poland. Since its inception in 1955, it has established a world-class combination of pure research and numerous practical applications for science and the wider economy. -
Software Driven Cloud Networking
White Paper Software Driven Cloud Networking Arista Networks, a leader in high-speed, highly programmable datacenter switching, has outlined a number of guiding principles for network designs serving private cloud, public cloud, enterprise and high-performance network use cases. Arista’s Software Driven Cloud Networking approach incorporates software capabilities of our Extensible Operating System (EOS®) and CloudVision® software to provide seamless and consistent operational experiences and workflow integration across any cloud infrastructure. Emerging third-party cloud orchestration technologies and services, and cloud provider infrastructures, complement Arista’s datacenter platforms by automating workgroup policies and provisioning within a broader integrated hybrid cloud IT infrastructure. Arista defines the combination of cloud automation technologies and Arista EOS-based Universal Cloud Network designs as Software Driven Cloud Networking. Integration targets for our Cloud Networking solutions include standards-based network virtualization controllers, network security services, hypervisors, container management systems, automated compute and storage clusters, cloud orchestration middleware, IT support systems and customized flow-based forwarding agents. arista.com White Paper Cloud Technology Shift High-performance Ethernet networks have evolved significantly since their inception in the late 1980s, with many evolutionary changes leading to new networking solution categories. The datacenter switching category, now extending widely into the private and public cloud infrastructure, has emerged as a unique high-growth category, demanding dense 10-100Gbps Ethernet switching at massive scales and unprecedented price/performance levels as its leading enabling characteristic. Beyond considerable speed progressions over the last two decades, datacenter switching also demands that networks support maximized performance at breakthrough economics, providing cost-effective expansion without redesign or reversals in architectural approaches. -
Malek M. Naouach
Malek M. Naouach Last update on October 25, 2018 Master Student in CS UWaterloo — Expected Graduation : December 2018 [email protected] · https://ca.linkedin.com/in/malek-m-naouach · +1 (226) 791-9719 Experience Amazon AWS Vancouver, Canada Software Development Engineer Intern - Thinkbox EC2 Core Team Sept ’17 – Dec ’17 • Refactored the code of legacy limits in Deadline 10 product • Designed and developed license and resource limits, and integrated them into Deadline Monitor • Was developing using Java, Python, Bash, Linux, Git, Markdown, MongoDB, Scrum • Updated the technical documentation of the product using Sphinx, reST, Dyoxygen • Wrote a blog post using reST, featuring in the product website: Creating Limits Just Got Easier! University of Waterloo, David Cheriton School of Computer Science Waterloo, Canada Graduate Research Assistant - Systems and Networking Lab Jan ’15 – present • My research work lies in the intersection of Modern Datacenters and Artificial Intelligence • My tech stack includes Linux, Docker, Vim, Tmux, OpenStack, OpenDaylight, GitHub, Java, Python • Designed and built Artemis: an artificial-intelligent agent at the end-hots, that learns how to schedule the traffic of deployed applications in a datacenter environment, in order to meet their communication requirements in terms of bandwidth and deadlines • Joint work on a speculative remote-procedure-call framework to speed up the execution of applications in a distributed environment (Published in USENIX Middleware’18) • Designed and implemented using Mininet, a -
The Billionaire Professor Behind New Networking Startup Apstra - WSJ 30/03/16, 08:24
The Billionaire Professor Behind New Networking Startup Apstra - WSJ 30/03/16, 08:24 This copy is for your personal, non-commercial use only. To order presentation-ready copies for distribution to your colleagues, clients or customers visit http://www.djreprints.com. http://www.wsj.com/articles/the-billionaire-professor-behind-new-networking-startup-apstra-1459294850 TECH The Billionaire Professor Behind New Networking Startup Apstra Computer scientist David Cheriton has founded and funded multiple tech winners David Cheriton was an early investor in Google. PHOTO: APSTRA By DON CLARK Updated March 29, 2016 8:29 p.m. ET Computer scientist David Cheriton has been a quiet force behind the scenes in Silicon Valley for decades, using his brains and bank account to fund vendors of equipment that transmits data between computers and over the Internet. Now he wants the customers of those suppliers to feel free to shop elsewhere. The Stanford University professor, whose early investment in Alphabet Inc.’s Google helped make him a multibillionaire, recently bankrolled a startup called Apstra, which has been working on software for managing networking devices from multiple vendors. Apstra’s software makes it easier to integrate equipment from various suppliers as better options come along, Mr. Cheriton said. It could reduce customers’ reliance on vendors like Cisco Systems Inc. —which first made Mr. Cheriton wealthy in 1996 when it bought a startup he co-founded—and Arista Networks Inc., a leading maker of network switches that he co-founded in 2004. Network hardware companies tend to lock in customers as they http://www.wsj.com/articles/the-billionaire-professor-behind-new-networking-startup-apstra-1459294850 Page 1 of 4 The Billionaire Professor Behind New Networking Startup Apstra - WSJ 30/03/16, 08:24 develop expertise in running particular systems and become accustomed to proprietary features. -
Page Ndcal Complaint
1 JOHN JASNOCH SCOTT+SCOTT, ATTORNEYS AT LAW, LLP 2 707 Broadway, Suite 1000 San Diego, California 92101 3 Telephone: (619) 233-4565 Facsimile: (619) 233-0508 4 Email: [email protected] 5 THOMAS L. LAUGHLIN, IV SCOTT+SCOTT, ATTORNEYS AT LAW, LLP 6 The Chrysler Building 405 Lexington Avenue, 40th Floor 7 New York, New York 10174 Telephone: (212) 223-6444 8 Facsimile: (212) 223-6334 9 Attorneys for Plaintiff 10 [Additional counsel on signature page.] 11 12 UNITED STATES DISTRICT COURT 13 NORTHERN DISTRICT OF CALIFORNIA 14 15 WEST PALM BEACH FIRE PENSION FUND, Case No. 16 Plaintiff, 17 v. VERIFIED SHAREHOLDER 18 LAWRENCE “LARRY” PAGE, SERGEY M. DERIVATIVE COMPLAINT BRIN, ERIC E. SCHMIDT, L. JOHN DOERR, 19 DIANE B. GREENE, JOHN L. HENNESSY, ANN MATHER, PAUL S. OTELLINI, K. RAM 20 SHRIRAM, SHIRLEY M. TILGHMAN, MICHAEL J. MORITZ, ARTHUR D. LEVINSON, 21 ROBERT ALAN EUSTACE, OMID R. KORDESTANI, JONATHAN J. ROSENBERG, 22 SHONA L. BROWN, and ARNNON GESHURI, 23 Defendants, 24 and 25 GOOGLE, INC, 26 Nominal Defendant. 27 28 VERIFIED SHAREHOLDER DERIVATIVE COMPLAINT 1 PROLOGUE 2 “[T]here is ample evidence of an overarching conspiracy between” Google and the other defendants, and of “evidence of Defendants’ rigid wage structures and 3 internal equity concerns, along with statements from Defendants’ own executives, are likely to prove compelling in establishing the impact of the anti-solicitation 4 agreements . .” 5 In re High-Tech Employee Antitrust Litig., No. 11-cv-2509, 2014 WL 3917126, at *16 (N.D. 6 Cal. Aug. 8, 2014). 7 Plaintiff West Palm Beach Fire Pension Fund (“West Palm” or “Plaintiff”), on 8 behalf of Google, Inc. -
Arista Networks, Inc. 2015 Annual Report Dear Arista Networks Stockholders: I Am Pleased to Report That Arista Networks Had a Very Successful 2015 Fiscal Year
Arista Networks, Inc. 2015 Annual Report Dear Arista Networks Stockholders: I am pleased to report that Arista Networks had a very successful 2015 fiscal year. In reflecting on 2015, we are extremely proud of the company’s growth as well as its technological leadership. Our team has remained unwavering in our commitment to innovation, and we continually strive to drive value for our stockholders, cus- tomers, partners and employees. 2015 Highlights Summary: • We announced 26 new leaf/spline platforms for 10/25/40/50/100GbE all based on our single binary- image software utilizing diverse silicon architectures. • We grew revenue profitably by 43.4% to $837.6m. Our revenue growth is driven by our innovative platforms, differentiated Arista EOS stack and orchestration with CloudVision®. We have over 3,700 customers and continue to add new customers expanding our market presence and geographic foot- print. • We were recognized as a leader in Gartner’s 2015 Magic Quadrant for Data Center Networking. • We announced CloudVision, a network-wide approach for workload orchestration and workflow auto- mation. This is a turnkey solution for cloud networking enabling enterprises to more easily realize the benefits of cloud-class automation. • We announced a new service capability for CloudVision called Macro-Segmentation Service (MSS™). MSS provides automated insertion of Security and other in-line L4-7 services within any Software Driven Cloud Networking Infrastructure. MSS has been endorsed by our technology alliance ecosys- tem partners VMware, Palo Alto Networks, Check Point Software, Fortinet, and F5 Networks who are each working with us to deliver MSS support for their platforms. -
Media & Entertainment Solution Guide
Solution Guide Cloud Grade Networking for Broadcast, Digital Media Creation, Post Production, Content Distribution and Storage Developments in digital broadcast, VFX, and animation technologies are expanding the creative horizons of producers and talent. Concurrently, the growing demand and means of consumption for such content is astounding! The scale and complexity is measured by the number and types of devices connected to the Internet. Content providers are innovating and expanding IP based distribution solutions to differentiate their offerings and adapt to growing audience demands. Likewise, producers are identifying and creating new content using real time, multi-stream workflows made possible with multi-vendor production systems running on Ethernet-IP switching. Given the global scale of audience and competition, content providers and producers are migrating their creative, production and distribution workloads to IP based Ethernet infrastructures to deliver a more productive, streamlined, and cost effective solution. Introduction Accelerating Content Growth Media production companies, be they pre- or post- production, or real-time • Increases capacity to handle more broadcast, are dealing with an explosion of content as they race their productions visually immersive theatrical to market. Digital capture and editing technologies, along with next-generation workloads and broadcast animation workflows, create multiple image streams that must be parsed among workstreams realtime and non-linear broadcast workflows, and then to IP destinations of varying formats. • Converges content creation, rights management, transcoding CGI and animation production studios were the first to leverage price/performance and distribution gains and investment protection of mainstream IP based Ethernet infrastructures. Image, file and transport protocols streamlined file based workflows, allowing the • Delivers an open, standards- use of COTS compute platforms running over standard IP Ethernet networks. -
Learning Technologies and Global Education Ecosystem
Learning Technologies and Global Education Ecosystem Paul Kim [email protected] Quiz on Stanford University Who gave Larry Page and Sergey Brin, two Stanford University students, $100,000 check to start Google company in 1998? Andy Bechtolsheim, a former Stanford University student who co- founded SUN Microsystems with another Stanford student, Scott McNealy. What does SUN stands for in the company name SUN Microsystems? Stanford University Network What is Yahoo’s original URL when Jerry Yang and David Filo were fiddling with their computers at Stanford University as students in 1994? akebono.stanford.edu/yahoo Akebono is the name of a famous Hawaiian sumo player Yet Another Hierarchical Officous Oracle (Yahoo) Bill Hewlett and Dave Packard graduated in electrical engineering from Stanford University. What company did they establish? A big proponent of Internet Television who completed his master’s degree in CS at Stanford founded what company? Reed Hastings •Technology has been the major driver of economic development world-wide. •A new sector is riding on the technology sector growth. $4.5 Trillion in 2012 $6.3 Trillion in 2017 Learning Management Systems Student Information Systems Content YTD 2013 – 1B invested in Education Ventures Series D – 26M Series D – 30M Series D – 65M Series D – 32M MOOCs Through the Lens of Sustainability No videos over slow modems UOP 1987 http://www.flickr.com/photos/eyth16_de/6192656303/lightbox / Where are all the traditional university features? Access and learn curated free contents from well-known universities Supposedly anyone can access and learn from the best teachers? http://sylviamoessinger.files.wordpress.com/2013/05/mooc_7.png https://edutechdebate.org/massive-open-online-courses/3-ways-moocs-unleash-the-power-of-massive-international-attendance/ http://www.mindingthecampus.com/originals/2013/06/whos_afraid_of_the_big_bad_moo.html Did anyone ask if we need MOOCs Champion the cause or over-MOOCed join the M.O.O.C.