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本次搜索耗时 0.039 秒,为您找到相关结果约 410 个.
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  • ppt文档 GPU Resource Management On JDOS

    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
    0 码力 | 11 页 | 13.40 MB | 1 年前
    3
  • pdf文档 Secrets Management at Scale with Vault & Rancher

    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
    0 码力 | 36 页 | 1.19 MB | 1 年前
    3
  • pdf文档 Node Operator: Kubernetes Node Management Made Simple

    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
    0 码力 | 18 页 | 11.70 MB | 1 年前
    3
  • pdf文档 State management - CS 591 K1: Data Stream Processing and Analytics Spring 2020

    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
    0 码力 | 24 页 | 914.13 KB | 1 年前
    3
  • pdf文档 Deploying and ScalingKubernetes with Rancher

    ............................................................................ 6 1.3.3 Secret Management .............................................................................................. ......................................................................... 6 1.3.5 Container Management and Scaling ......................................................................... 6 1.3.6 ................ 7 1.3.9 Resource Monitoring ................................................................................................ 7 1.3.10 Log Management ............................
    0 码力 | 66 页 | 6.10 MB | 1 年前
    3
  • pdf文档 [Buyers Guide_DRAFT_REVIEW_V3] Rancher 2.6, OpenShift, Tanzu, Anthos

    Enterprise Kubernetes Management Platforms Red Hat OpenShift 4.9, VMware Tanzu 1.4, Google Anthos 1.10 and SUSE Rancher 2.6 A Buyer’s Guide to Enterprise Kubernetes Management Platforms Copyright ........................................ 39 A Buyer’s Guide to Enterprise Kubernetes Management Platforms Copyright © SUSE 2022 3 1 Executive Summary Organizations modernizing their infrastructure lack of central visibility, inconsistent security practices and complex management processes. Therefore, Kubernetes management platforms need to confidently deliver: • Simplified Cluster Operations:
    0 码力 | 39 页 | 488.95 KB | 1 年前
    3
  • pdf文档 OpenShift Container Platform 4.14 存储

    hostPath 卷将主机节点的文件系统中的文件或目录挂载到 pod 中。 KMS 密 密钥 OpenShift Container Platform 4.14 存 存储 储 4 Key Management Service (KMS) 可帮助您在不同服务间实现所需的数据加密级别。您可以使用 KMS 密钥加密、解密和重新加密数据。 本地卷 本地卷 本地卷代表挂载的本地存储设备,如磁盘、分区或目录。 继承集群范围的默认选择器,请输入以下命令: 3. 可选:允许在单节点部署中的 CPU 管理池中运行本地存储。 在单节点部署中使用 Local Storage Operator,并允许使用属于 management 池的 CPU。在使 用管理工作负载分区的单节点安装上执行这个步骤。 要允许 Local Storage Operator 在管理 CPU 池上运行,请运行以下命令: 使用 使用 UI io/node-selector='' $ oc annotate namespace openshift-local-storage workload.openshift.io/allowed='management' apiVersion: operators.coreos.com/v1 kind: OperatorGroup metadata: 第 第 4 章 章 配置持久性存 配置持久性存储 储
    0 码力 | 215 页 | 2.56 MB | 1 年前
    3
  • pdf文档 Apache Karaf Container 4.x - Documentation

    Persistence (JPA) 4.17.8. EJB 4.17.9. CDI 4.17.10. HA/failover and cluster 4.18. Monitoring and Management using JMX 4.18.1. Connecting 4.18.2. Configuration 4.18.3. MBeans 4.18.4. RBAC 4.18.5. JMX-HTTP reflection) 5.2.8. Examples 5.3. Programmatically connect 5.3.1. To the console 5.3.2. To the management layer 5.4. Branding 5.4.1. Console 5.4.2. Adding a branding.properties file to etc 5.5. Adding Features" which is a way to describe your application. • Management: Apache Karaf is an enterprise-ready container, providing many management indicators and operations via JMX. • Remote: Apache Karaf
    0 码力 | 370 页 | 1.03 MB | 1 年前
    3
  • pdf文档 Cloud Native Contrail Networking Installation and Life Cycle ManagementGuide for Rancher RKE2

    Cloud Native Contrail Networking Installation and Life Cycle Management Guide for Rancher RKE2 Published 2023-09-08 Juniper Networks, Inc. 1133 Innovation Way Sunnyvale, California 94089 USA 408-745-2000 this publication without notice. Cloud Native Contrail Networking Installation and Life Cycle Management Guide for Rancher RKE2 Copyright © 2023 Juniper Networks, Inc. All rights reserved. The information Amazon EKS • Rancher RKE2 Contrail Networking is an SDN solution that automates the creation and management of virtualized networks to connect, isolate, and secure cloud workloads and services seamlessly
    0 码力 | 72 页 | 1.01 MB | 1 年前
    3
  • pdf文档 vmware组Kubernetes on vSphere Deep Dive KubeCon China VMware SIG

    placement of pods. This is used to spread pods across availability zones, while still respecting resource access and availability concerns. When Kubernetes runs on vSphere, the hypervisor platform also automated placement options, for both control plane and worker nodes. 2 levels of scheduling and resource management are active. ​Currently no automatic scheduling integration occurs, that is, Kubernetes affinity groups, NUMA, etc.). ​This session will explain the options to gain better performance, resource optimization and availability through tuning of vSphere, and Kubernetes configuration and labeling
    0 码力 | 25 页 | 2.22 MB | 1 年前
    3
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