KubeMeet Registration | The complete agenda of the "Edge Native" Online Technology Salon is announced!

my country's "14th Five-Year Plan" clearly proposes to "coordinately develop cloud services and edge computing services", and the State Council's "14th Five-Year Plan for Digital Economy Development" also points out that it is necessary to "strengthen edge computing capabilities for specific scenarios". The large-scale deployment of technologies such as 5G and the Internet of Things has driven the surge in demand for edge computing and accelerated the development of integration with the industry.

In this context, the China Academy of Information and Communications Technology, the Trusted Edge Computing Promotion Program, Alibaba Cloud, and the CNCF OpenYurt open source community plan to jointly hold the "Edge Native" special salon on August 6, 2022 , inviting cloud speakers from China Academy of Information and Communications Technology. , CNCF open source community, WasmEdge open source community, and enterprise technology majors such as Sangfor, Boundless, Xinhua Zhiyun, Intel, etc., discuss the development trend of edge computing and cloud native fields, the status quo of open source communities, key technologies, typical application practices, etc., to accelerate edge native Technology development.

Event registration information

event date

August 6, 2022 (Saturday) 13:30—18:00

watch address

This conference will be held simultaneously on Alibaba Cloud's native WeChat video account, Yundashuo video account, and Yingmu live broadcast.

Sharing guest and topic introduction

13:30-13:40 | Speech

Li Wei｜Deputy Director, Institute of Cloud Computing and Big Data, CAICT

13:40-14:10 | Development Trend of Edge Computing and Cloud-Edge-Device Integration

Li Ang｜Business Director of the Digital Transformation Department of Government and Enterprises, Cloud Institute

14:10-14:40 | OpenYurt: Helping Cloud-Edge-Device Integration Collaboration

He Linbo｜Community leader of CNCF OpenYurt, technical expert of Alibaba Cloud

Topic Introduction : The emergence of cloud computing has contributed to the explosive growth of the Internet of Things. Under the trend of increasing equipment scale and business complexity, edge computing has also developed rapidly under this wave because it can bring computing power closer to the network edge and equipment, thereby reducing cloud performance costs. In this sharing, I will discuss with you what is edge computing and edge computing in the cloud-native era. At the same time, I will introduce the CNCF project OpenYurt and the cloud-edge-device integration practice based on OpenYurt in detail.

14:40-15:10 | End-to-end video analysis based on OpenYurt

Shaoqiang Chen｜Intel (China) Co., Ltd. Senior Architect

Topic introduction : Video analytics is a typical application of edge computing. A necessary condition for the large-scale application of edge computing is the need to solve the infrastructure of cloud-edge collaboration. OpenYurt is a non-intrusive extension to K8s, and provides end-device control in conjunction with edgex. Based on OpenYurt, we have implemented an end-to-end video analysis solution, providing users with various required capabilities, such as camera management, ingress, business load balancing, video AI analysis, etc., to meet large-scale video analysis in real scenarios. deploy.

15:10-15:40 | Sangfor's key edge computing technologies and implementation practices

Zhao Zhenyang｜Sangfor R&D Architect

Topic introduction : This sharing will introduce the main challenges faced by edge computing, Sangfor's explorations and solutions in cloud-edge collaboration and edge computing, and Sangfor's capacity building and consideration for edge computing and cloud-edge collaboration based on the open source community. How to use edge computing to help customers solve practical problems.

15:40-16:10 | Open Source Development Platform for Industrial IoT——Shifu Framework

Qin Xiaoyu｜Co-founder and Chief Engineer of Bian Wuji (Beijing) Technology Co., Ltd.

Topic introduction : In the process of traditional IoT development, developers often deal with different IoT systems, drivers, and protocols. Shifu is committed to abstracting these complex underlying layers to truly improve the effectiveness of developers. Therefore, Shifu connects various IoT devices and systems to the south, and connects to upper-layer applications in the form of HTTP or gRPC to the north. Solution: How to deploy Shifu on OpenYurt to expand IoT development capabilities, OpenYurt is responsible for northbound, cloud-edge collaboration, Shifu is responsible for southbound, edge-to-edge synergy effect: Make developing an industrial scenario as easy as developing an APP; based on K8s CRD, no need Deploy a new set of infrastructure; turn traditional IoT application development (such as MES, SCADA, etc.) into simple web development; completely decouple software and hardware, each scenario has its own Shifu.

16:10-16:40 | Cloud Native Edge Computing Lightweight Runtime Exploration

Jinchen｜WasmEdge Community Member & OpenYurt Community Member

Topic introduction : This sharing will focus on what WasmEdge is, why OpenYurt needs WasmEdge and how OpenYurt manages the WasmEdge runtime.

16:40-17:10 | Openyurt edge computing practice

Ying Jianjian | Xinhua Zhiyun Cloud Native Operation and Maintenance Development Engineer

Topic introduction : Our project is an all-in-one computer project, which is located in different computer rooms in different regions of the country, and each equipment room has only one server. This server does not have a public network ip. If each node needs to invest manpower to Operation and maintenance will incur a lot of labor costs, and development is inefficient when deploying business systems and cannot achieve rapid delivery. Solution selection: At the beginning of the selection, we deployed Kubernetes in the form of all-in-one. Although we can solve the problem of automatic deployment, there is no way to centralize management. Every time a problem is checked, it needs to be checked on site or through the frp intranet penetration check is extremely inefficient. Later, the pain point of centralized cluster management and control is solved through the edge computing capabilities of OpenYurt, and the problems such as the inability of components such as dns to communicate across computer rooms are solved through the capabilities of OpenYurt's service topology. After implementing the OpenYurt architecture, we can quickly deliver the all-in-one project and quickly locate the cause of the all-in-one fault during the operation and maintenance process.

full agenda

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