GPU Resource Management On JDOSGPU 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
Istio Project Update#IstioCon Istio Project Update Lin Sun @linsun_unc #IstioCon Speaker Intro #IstioCon Istio Community Number of contributors last 12 months: 350+ contributing companies 500+ PR authors 1900+0 码力 | 22 页 | 1.10 MB | 1 年前3
Secrets Management at
Scale with Vault & RancherSecrets 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, SSH0 码力 | 36 页 | 1.19 MB | 1 年前3
Node Operator: Kubernetes Node Management Made SimpleNode 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 resource0 码力 | 18 页 | 11.70 MB | 1 年前3
Project Harbor Introduction - Open source trusted cloud native registryProject Harbor Introduction Open source trusted cloud native registry Henry Zhang, Chief Architect, VMware R&D China Steven Zou, Staff Engineer, VMware R&D China Nov. 2018 2 Confidential � ©2018 Registry Registry Registry Registry UT Build Commit Environment image image image image Image Management through Pipeline Distributions Multiple teams Multiple roles Availability Security Multiple �������� ���:VIC�PKS GitHub Repo: https://github.com/goharbor /harbor/ Apache 2.0 ���� ������������ Project history �������� Harbor���� Harbor���� 5 Harbor���� 6 x x Agenda 7 Confidential � ©20180 码力 | 36 页 | 12.65 MB | 1 年前3
Project Harbor Introduction - Open source trusted cloud native registryProject Harbor Introduction Open source trusted cloud native registry Henry Zhang, Chief Architect, VMware R&D China Steven Zou, Staff Engineer, VMware R&D China Nov. 2018 2 Confidential � ©2018 Registry Registry Registry Registry UT Build Commit Environment image image image image Image Management through Pipeline Distributions Multiple teams Multiple roles Availability Security Multiple �������� ���:VIC�PKS GitHub Repo: https://github.com/goharbor /harbor/ Apache 2.0 ���� ������������ Project history �������� Harbor���� Harbor���� 5 Harbor���� 6 x x Agenda 7 Confidential � ©20180 码力 | 36 页 | 12.65 MB | 1 年前3
State management - CS 591 K1: Data Stream Processing and Analytics Spring 2020Processing 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
[Buyers Guide_DRAFT_REVIEW_V3] Rancher 2.6, OpenShift, Tanzu, AnthosEnterprise 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
Apache Karaf Container 4.x - DocumentationPersistence (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 Karaf0 码力 | 370 页 | 1.03 MB | 1 年前3
Apache Karaf 3.0.5 Guidesthe container. • Dynamic Configuration: Apache Karaf provides a set of command dedicated for the management of the configuration files. All configuration files are centralized in the etc folder. Any change Feature" which is a way to describe your application. • Management: Apache Karaf is an enterprise-ready container, providing a lot of management indicators and operations via JMX. • Remote: Apache Karaf Karaf embeds an SSHd server allowing you to use the console remotely. The management layer is also accessible remotely. • Security: Apache Karaf provides a complete security framework (based on JAAS), and0 码力 | 203 页 | 534.36 KB | 1 年前3
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