## GPU Resource Management On JDOS 梁永清 liangyongqing1@jd.com ## 提供的服务 ## Experiment ## Training 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 ## Serving 均基于容器，不对业务方直接提供 GPU 物理机

## +24 ## Back To Basics Lifetime Management ## PHIL NASH ## 20 24 September 15 - 20 ## C++ is complex  mostly for historical sonarsource.com/blog/beyond-the-rules-of-three-five-and-zero/ ## +24 ## Back To Basics Lifetime Management ## PHIL NASH ## 20 24 September 15 - 20

24. June # Secrets Management at Scale with Vault & Rancher  Bastian Hofman Senior Field Engineer SUSE bastian.hofmann@suse Operations & Infrastructure Management (Run & Manage) K8s Version Management GitOps Continuous Delivery Cluster Templates & Config Enforcement Node Pool Management RBAC, OPA, Pod & Network Network Policies Cluster Provisioning & Lifecycle Management  kubernetes ![Image](/uploads/documents/4/7/a/c/47acf68

## Using ECC Workload Certificates ## (pilot-agent environmental variables) Jacob Delgado / Aspen Mesh ## I stioCon ## ECC workload certificates - In various environments, the need for x509 certificates rol/istio-discovery \ -n istio-system --values values-override.yaml #IstioCon # Inspection of Workload Certificates # Ensure that workloads within your cluster are using ECC $ istioctl proxy-config

## Node Operator: Kubernetes Node Management Made Simple 陈俊(Joe)，Ant Financial ## Agenda • Background and Motivation • Introduction of Operators • Node-Operator • Advanced Topic: Kube-on-Kube-Operator Master & Node Components reliably • Canary Rollout • Master & Node Component Versions Management  Worker Order Complicated architecture Work order deployment system can not meet the requirements of resource management. ## Operator 

Toward Standard C++ Dependency Management ## BILL HOFFMAN & BRET BROWN ## 20 23 October 01 - 06 ## Libraries: A First Step Toward Standard C++ Dependency Management October 3, 2023 Bloomberg Engineering portable as the code they contain! ✓ Projects should be “cattle,” not “pets”! ## Why dependency management? Consensus: Managing dependencies == way too hard Q: Which of these do you find frustrating about following names: jsonlogConfig.cmake Jsonlog-config.cmake # ... CMake gives you some dependency management tips here ... Aside: Coloring and bolding added for emphasis ## Motivation: What would we design

# CS 591 K1: Data Stream Processing and Analytics Spring 2020 2/25: State Management Vasiliki (Vasia) Kalavri vkalavri@bu.edu ## State in dataflow computations Any non-trivial streaming computation 3cea6fb1/p4_2.jpg) What state types can you think of? • Count, sum, list, map, ... ## State management in Apache Flink All data maintained by a task and used to compute results: a local or instance 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

with Greenplum Workload Manager for Graphical control of WLM ## GPCC New UI Glance  ## Greenplum Workload Manager ## Rule Rule based query management to monitor and manage queries and resource queues • Monitors Greenplum Database queries and host utilization statistics • Logs when a query exceeds a threshold • Throttles resource queues ## Workload Management (proprietary) ## V ision Hands off DBA policy management of multi-user environment ## Upcoming Roadmap • Fine grain configuration management through centralized

## Overview Casdoor is a UI-first Identity Access Management (IAM) / Single-Sign-On (SSO) platform based on OAuth 2.0, OIDC, SAML, and CAS. You need to enable JavaScript to run this app. Casdoor serves 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 WeChat, 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

支持多种云不受限于基础架构的数据平台 ..... 4 集成分析：改进后的全新分析接口 ..... 6 GPORCA：Pivotal 查询优化器更新 ..... 7 Greenplum资源组和Workload Manager ..... 7 架构化查询语言性能提升 ..... 8 其他功能特性 ..... 9 总结 ..... 9 ## 关于本白皮书 Pivotal 最近推出全球第一 GPORCA 的功能逐渐增多，传统查询优化器能够在性能上胜出的情况将变得极为罕见。 $ ^{4} $ ## Greenplum资源组和Workload Manager 管理并发性能和用户资源分配是 Greenplum 的主要功能之一。这一版本不仅增强了 Workload Manager 的功能，还引入了一种管理数据库查询的新方法——资源组，可让数据库管理员更好地控制用户活动，尤其是在 CPU 和内存 不足以运行该查询，它会自动排队，直到有能够成功执行的资源为止。 在 Greenplum 5 中，Workload Manager 的功能有所增强，提高了规则创建的可自定义程度，并改进了监控查询活动及其所用资源的方式。它可在查询运行过程中监控并检测内存、CPU 和磁盘 I/O 偏差。随后，Workload Manager 会在查询使用的某项资源超过已定义阈值时记录日志，并可根据规则定义在必要时终止超