17 May 2022
Valencia, Spain
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Beginner (Very basic information) [clear filter]
Tuesday, May 17

11:50 CEST

Lightning Talk: Join the Cloud Native Journey to Shuttle Back and Forth Applications Across Edges - Ruoyu Ying & Qiang Ren, Intel
SD-WAN handles the network connectivity issues between distributed applications in a seamless, secure and efficient manner through replacing traditional branch routers with virtualized or appliance-based software. However, as the concept of edge prevails recently, distributed applications are usually deployed across multiple resource-constrained k8s edges. Then how to expose the services and manage the connections between in a cloud native way becomes a critical issue for users. The open-source project SD-EWAN under the Akraino community’s ICN blueprint is definitely a comprehensive solution. Its CNF, which integrated with multiple network functions based on OpenWRT, is able to serve the distributed applications with secure connections and easy management against networking and the CNF can be automatically thru the overlay controller within SD-EWAN to achieve multi-edge collaboration. This session will show the basic architecture how SDEWAN utilizing k8s to help with the network connections across applications live in different edges, and a demo to showcase its usage for cross-edge collaboration (e.g. advanced load-balancing with service mesh).

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avatar for Ruoyu Ying

Ruoyu Ying

Cloud Orchestration Software Engineer, Intel
Ruoyu Ying is a cloud orchestration software engineer from Cloud Software Engineering, department of SATG, Intel. She joined Intel after achieved her master degree from Hong Kong University majoring in Computer Science and have worked as a key contributor and committer of VFC project... Read More →
avatar for Qiang Ren

Qiang Ren

Cloud Orchestration Software Engineer, Intel
Ren Qiang works as a Cloud Orchestration Software Engineer in SATG, Intel. He mainly focuses on Cloud Native technologies in the edge computing domain and is the key contributor to the SD-EWAN project under Akraino community. At the same time, he actively participates in open source... Read More →

Tuesday May 17, 2022 11:50 - 12:00 CEST
Pavilion 4, Room C | Level 2 | Central Forum

13:35 CEST

Model Serving at the Edge Made Easier - Paul Van Eck & Animesh Singh, IBM
As edge devices consume the world, the ability to deploy AI models on these devices becomes increasingly vital. Challenges surrounding the management of numerous models across a multitude of edge hosts can be tricky. Not only that, the limited compute power that edge hosts provide makes it necessary to eliminate as much overhead as possible. These are common pain points holding users back from large scale adoption. However, with the combination of ModelMesh with technologies like K3s and MicroShift, the practicality of employing such a system has increased dramatically. As the multi-model serving backend of KServe, ModelMesh offers a small-footprint control-plane for managing model deployments on Kubernetes. Using multi-model runtimes with intelligent model loading/unloading, ModelMesh is able to make the most out of a limited set of resources while still providing the capability to serve many models for inference. Come to this talk to get the edge on edge model serving!

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avatar for Paul Van Eck

Paul Van Eck

Open Source Software Engineer, IBM
Paul Van Eck is a software engineer in the Cognitive OpenTech Group at IBM. Over the past several years, he's been actively involved in open source AI technologies such as Kubeflow and TensorFlow. Currently, Paul is focused on the supporting the deployment of ML models on Kubernetes... Read More →
avatar for Animesh Singh

Animesh Singh

Distinguished Engineer and CTO - Watson Data and AI OSS Platform, IBM
Animesh Singh is CTO and Director for IBM Watson Data and AI Open Technology, responsible for Data and AI Open Technology strategy. Creating, designing and implementing IBM’s Data and AI engine for AI and ML platform, leading IBM`s Trusted AI efforts, driving the strategy and execution... Read More →

Tuesday May 17, 2022 13:35 - 14:05 CEST
Pavilion 4, Room C | Level 2 | Central Forum

16:10 CEST

Building a Multi-Node Cluster with K3s Using ARM Devices - Sergio Méndez, Universidad de San Carlos de Guatemala
Edge computing is coming as a way to improve user experience for applications, processing data near to the source. Sometimes in edge computing you share data between local machines and the cloud. If you are starting an edge computing project, you could be interested in taking advantage of containers on the edge. Here is where K3s shines to implement edge computing solutions on low resources environments that commonly use ARM devices. In this talk we are going to explore the key elements and best practices to build a K3s cluster on the edge using ARM devices. The talk will show how to build this cluster using Raspberry devices, showing how to configure your local network and a bare metal load balancer with MetalLB, and install other cloud native storage blocks such as Longhorn or OpenEBS. This to finally get a production ready K3s cluster. The talk also provides a quickstart to build edge computing environments for your needs, mentioning different use cases and challenges of this kind when building edge solutions.

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avatar for Sergio Méndez

Sergio Méndez

Serverless functions at the edge using Knative and K3s, Universidad de San Carlos de Guatemala
Sergio Méndez is a systems engineer and professor of operating systems at San Carlos of Guatemala university. His work at the university is related to teaching and researching cloud native technologies with his students. He has experience working on DevOps, and MLOps using open source... Read More →

Tuesday May 17, 2022 16:10 - 16:40 CEST
Pavilion 4, Room C | Level 2 | Central Forum
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