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

Service Mesh的延伸 之论道Database Mesh 分享人：张亮 日期：2018年07月25日Service Mesh风头正劲Service Mesh产品多样化Service Mesh的优势 云原生 零入侵 可观察性 面向运维服务化之后，数据库怎么办？ 服务 • 无状态 • 根据规则路由 • 业务方处理事务 数据库 • 有状态 • 根据SQL路由 • 数据库自动处理事务数据库的进化趋势 • SQL • ACID+BASE • 分布式 NewSQLNewSQL的分类 New Architecture Transparent Sharding Middleware Database-as-a-Service What's Really New with NewSQL?数据库中间层的优势 系统 •事务 运维 • DBA 开发 • SQL数据库中间层应具备的能力 Sidecar 数据库 任意 单一 单一 连接数 高 低 高 异构语言 仅Java 任意 任意 性能 损耗低 损耗略高 损耗低 无中心化 是 否 是 静态入口 无 有 无 Sidecar的优势Database Mesh架构图Sharding-Sphere 核心功能 数据分片 分布式事务 数据库治理 弹性伸缩 管控界面 实现方案 Sharding-JDBC Sharding-Proxy Sharding-Sidecar

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 backends are responsible for: • local state management • checkpointing state to remote and persistent storage, e.g. a distributed filesystem or a database system • Available state backends in Flink:

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

thrift client(cross-language support, both tcp and http), a Java Database Connectivity(JDBC) interface over thrift, or an Open Database Connectivity (ODBC) interface over a JDBC-to-ODBC bridge to communicate communicate with Kyuubi. RESTful APIs It provides system management APIs, including engines, sessions, operations, and miscellaneous ones. It provides methods that allow clients to submit SQL queries and Driver class name for JDBC Authentication Provider. kyuubi.authentication.jdbc.password Database password for JDBC Authentication Provider. kyuubi.authentication.jdbc.query Query

permissions. Ease of Use You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you focus on the design and implementation Deploying Kyuubi Basics Configurations Security 1. Authentication 2. Kinit Auxiliary Service 3. ACL Management Guide Client Documentation 1. Access Kyuubi with Hive JDBC and ODBC Drivers Integrations 1 DBeaver 2.1. What is DBeaver DBeaver [https://dbeaver.io/] is a free multi-platform database tool for developers, database administrators, analysts and all people who need to work with databases. Supports

permissions. Ease of Use You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you focus on the design and implementation Deploying Kyuubi Basics Configurations Security 1. Authentication 2. Kinit Auxiliary Service 3. ACL Management Guide Client Documentation 1. Access Kyuubi with Hive JDBC and ODBC Drivers Integrations 1 DBeaver 2.1. What is DBeaver DBeaver [https://dbeaver.io/] is a free multi-platform database tool for developers, database administrators, analysts and all people who need to work with databases. Supports

permissions. Ease of Use You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you focus on the design and implementation Engines Security 1. Authentication 2. Kinit Auxiliary Service 3. Hadoop Credentials Manager 4. ACL Management Guide Client Documentation 1. Access Kyuubi with Hive JDBC and ODBC Drivers Integrations 1 DBeaver 3.1. What is DBeaver DBeaver [https://dbeaver.io/] is a free multi-platform database tool for developers, database administrators, analysts and all people who need to work with databases. Supports