Thank you for joining for KubeCon EU/Virtual 2020.
We hope you had the opportunity to explore our solutions and offerings to help you along on your journey to going, cloud native.
If you did not attend or visit our virtual booth, you can access our sessions, technical demos, and additional resources here.
From presentations and demos to the latest technology that we bring to the community.
Cloud Native has become a synonym for scalable and reliable distributed applications. And a well-behaved, distributed system is synonymous with a highly-available, consumable, and composable Network.
Over the past two chapters of our evolutionary tale, we have discussed the need for the Network to evolve beyond the 35-year-old concepts that still define it to this day. And we have demonstrated, through a real-world database (Vitess) use case, the developmental and operational power and simplicity this new paradigm delivers.
In this new chapter, we will discuss how we can stretch these capabilities all the way into the enterprise, edge compute location, or a branch, and show how it eases the life of a developer building a new cloud native app.
Vice President and CTO of Cloud, Cisco
This talk will describe using Network Service Mesh to create a private L3 network between Kubernetes clusters in different cloud providers to seamlessly deploy multiple Vitess cells across them. We will describe a multicloud Vitess use case and walk through the deployment details, highlighting the networking requirements in the process. We will describe NSM’s inter-domain feature and multicloud capabilities and a network service, which fulfills the Vitess multicloud networking requirements by dynamically forming a common private L3 routing domain to interconnect specific workloads hosted in multiple clouds.
Senior Technical Leader, Cisco
Site Reliability Engineer, PlanetScale
Kubeflow is maturing as a cloud native Machine Learning (ML) platform that simplifies the journey of development, deployment, and management of ML on Kubernetes. As Kubeflow gets increasingly adopted, practitioners are looking beyond functions and starting to explore its performance and cost-efficiency in the real world. MLPerf is a state-of-the-art benchmark suite that aims to set an industry standard for end-to-end performance evaluation of ML systems with real-world workloads covering both training and inference phases of ML lifecycle. This talk will provide a brief overview about MLPerf, followed by detailed discussions about how MLPerf can be adapted to evaluate ML performance on Kubeflow and Kubernetes, as well as how the performance results can be leveraged to guide the future design and optimization of cloud native ML platforms based on Kubeflow and Kubernetes.
Technical Leader, Cisco
Technical Product Engineer AI/ML, Cisco
The key topics covered in our technical demos include:
Our industry-leading expertise in enterprise IT, including networking, security, management, analytics, and hyperconverged infrastructure uniquely positions Cisco to deliver solutions enabling our customers in a multicloud world.
We are dedicated to working with public cloud providers and a global ecosystem of more than 60,000 partners, one million network engineers, and 500,000 DevNet developers.
DevNet is Cisco’s developer program where developers and partners can connect, experiment, and innovate using Cisco technologies, products, and APIs. DevNet consists of technology innovations, software platforms, and tools needed to reach the full promise of the Software-Driven Enterprise. Our goal is to build the community of enterprise developers and innovators using DevNet’s key principles: learn, code, inspire, and connect – join us!