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 deployment system can not meet the requirements of resource management. Operator Observe Action Analyze • Observe: watch desired resource and actual resource • Analyze: difference from desired and actual

Gopher  China  2015  Resource  Scheduling  &  Container  Technology  for  Financial  Service  动态资源管理和容器技术  在金融行业的架构探索和明天  余军  Gopher  China  2015  Gopher  China  2015  China  2015  求解之路的探索  n 他们是否解决了我们的问题?  n No   ① Mesos  采用了DRF(Dominant  Resource  Fairness)  调度机制。 YARN自带FIFO、Capacity  Scheduler和Fair  Scheduler(借鉴了 Mesos的DRF)。  ② Mes oop中Capacity  Scheduler的调度机制，将所有资源分成若干个queue，每个 queue分配一定量的资源，每个user有一定的资源使用上限。  ③ Mesos采用了Resource  Offer机制，这种调度机制面临着资源碎 片问题，即：每个节点上的资源不可能全部被分配完，剩下的一 点可能不足以让任何任务运行，这样，便产生了类似于操作系统 中的内存碎片问题。 

that take a user-suppiled lambda to generate the data needed to render our desired compile-time resource! These are e�ectively templated functions, but we will use the cleaner auto parameter syntax for

1October 3, 2023 2 Libraries: A First Step Toward Standard C++ Dependency Management Bret Brown, C++ Infrastructure Lead, Bloomberg Bill Hoffman, CTO, KitwareHello! Welcome! Bret Brown C++ Infrastructure portable as the code they contain! ● ✓ Projects should be “cattle,” not “pets”! 7Why dependency management? 8Consensus: Managing dependencies == way too hard Q: Which of these do you find frustrating names: jsonlogConfig.cmake Jsonlog-config.cmake # ... CMake gives you some dependency management tips here ... 13 Aside: Coloring and bolding added for emphasisMotivation: What would we design

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

Ov Over erview view Casdoor is a UI-first Identity Access Management (IAM) / Single-Sign-On (SSO) platform based on OAuth 2.0, OIDC, SAML, and CAS. Casdoor serves both the web UI and the login requests separate architecture, developed by Golang. It supports high concurrency, provides a web-based UI for management, and supports localization in 10+ languages. 2. Casdoor supports third-party application login and it supports extending third-party login with plugins. 3. Casdoor supports authorization management based on Casbin. It supports ACL, RBAC, ABAC, and RESTful access control models. 4. Casdoor provides

............ 43 4.2. The Resource interface ......................................................................................................... 43 4.3. Built-in Resource implementations ........ .............................................................. 46 4.7. Application contexts and Resource paths ............................................................................... 47 4.7.1. ............................................................................ 85 8. Transaction management ..............................................................................................