GPU Resource Management On JDOS 梁永清 liangyongqing1@jd.com 提供的服务 1. 用于实验的 GPU 容器 2.基于 Kubeflow 的机器学习训练服务 3.模型管理和模型 Serving 服务 Experiment Training Serving 均基于容器，不对业务方直接提供 GPU 物理机 GPU 实验 JDOS 常规的容器服务

Secrets Management at Scale with Vault & Rancher 24. June Robert de Bock Senior DevOps Engineer Adfinis robert.debock@adfinis.com Kapil Arora Senior Solution Engineer HashiCorp kapil@hashicorp.com Infrastructure Management (Run & Manage) GitOps Continuous Delivery Cluster Templates & Config Enforcement K8s Version Management Node Pool Management Cluster Provisioning & Lifecycle Management Platform Amazon EKS Azure AKS Google GKE Cloud Datacenter Edge Branch Dev Secret Management in Kubernetes 16 17 18 Secret Management Challenges ● Secrets sprawl ● Secrets rotation ● X.509 certificates, SSH

Node Operator: Kubernetes Node Management Made Simple 陈俊(Joe), Ant Financial Agenda • Background and Motivation • Introduction of Operators • Node-Operator • Advanced Topic: • Upgrade Master & Node Components reliably • Canary Rollout • Master & Node Component Versions Management Motivation: Work Order Deployment Worker Order • Upgrade Nodes Versions • Upgrade Node 10.10 Complicated architecture Work order deployment system can not meet the requirements of resource management. Operator Observe Action Analyze • Observe: watch desired resource and actual resource

Processing and Analytics Vasiliki (Vasia) Kalavri
 vkalavri@bu.edu Spring 2020 2/25: State Management Vasiliki Kalavri | Boston University 2020 Logic State <#Brexit, 520> <#WorldCup, 480> key of the current record so that all records with the same key access the same state State management in Apache Flink 5 Vasiliki Kalavri | Boston University 2020 Operator state Keyed state State state is stored, accessed, and maintained. State backends are responsible for: • local state management • checkpointing state to remote and persistent storage, e.g. a distributed filesystem or a database

Learning (Contd.) One idea uses uncertainty sampling. Images on which you are uncertain about classification might be informative! What is the notion of uncertainty? Idea: Train a classifier like SVM output probabil- ities indicating class membership. Estimate probabilities can be used to infer uncertainty. A one-vs-one SVM approach can be used to tackle multiple classes. Feng Li (SDU) Overview September

should be sent to: support@lambdafoundry.com 4.4 Credits pandas development began at AQR Capital Management in April 2008. It was open-sourced at the end of 2009. AQR continued to provide resources for development Foundry, Inc. and PyData Development Team All rights reserved. Copyright (c) 2008-2011 AQR Capital Management, LLC All rights reserved. Redistribution and use in source and binary forms, with or without modification POSSIBILITY OF SUCH DAMAGE. About the Copyright Holders =========================== AQR Capital Management began pandas development in 2008. Development was led by Wes McKinney. AQR released the source

classification ▪ MSE ▪ Cross Entropy Loss ▪ Hinge Loss Entropy ▪ Uncertainty ▪ measure of surprise ▪ higher entropy: higher uncertainty. Claude Shannon https://towardsdatascience.com/demystifying-c

should be sent to: support@lambdafoundry.com 4.4 Credits pandas development began at AQR Capital Management in April 2008. It was open-sourced at the end of 2009. AQR continued to provide resources for development Foundry, Inc. and PyData Development Team All rights reserved. Copyright (c) 2008-2011 AQR Capital Management, LLC All rights reserved. Redistribution and use in source and binary forms, with or without modification POSSIBILITY OF SUCH DAMAGE. About the Copyright Holders =========================== AQR Capital Management began pandas development in 2008. Development was led by Wes McKinney. AQR released the source

should be sent to: support@lambdafoundry.com 4.4 Credits pandas development began at AQR Capital Management in April 2008. It was open-sourced at the end of 2009. AQR continued to provide resources for development Foundry, Inc. and PyData Development Team All rights reserved. Copyright (c) 2008-2011 AQR Capital Management, LLC All rights reserved. Redistribution and use in source and binary forms, with or without modification POSSIBILITY OF SUCH DAMAGE. About the Copyright Holders =========================== AQR Capital Management began pandas development in 2008. Development was led by Wes McKinney. AQR released the source

should be sent to: support@lambdafoundry.com 4.4 Credits pandas development began at AQR Capital Management in April 2008. It was open-sourced at the end of 2009. AQR continued to provide resources for development Foundry, Inc. and PyData Development Team All rights reserved. Copyright (c) 2008-2011 AQR Capital Management, LLC All rights reserved. Redistribution and use in source and binary forms, with or without modification POSSIBILITY OF SUCH DAMAGE. About the Copyright Holders =========================== AQR Capital Management began pandas development in 2008. Development was led by Wes McKinney. AQR released the source