## The Power of RxJS N A In NativeScript + Angular ## What is RxJS? Push based primitive in JavaScript ## What is RxJS? Push based primitive in JavaScript Ref implementation for TC39 Observable proposal 'rxjs/scheduler/async'; //add operators in your app.module.ts import 'rxjs/add/operator/map'; import 'rxjs/add/operator/filter'; ## Back to Our Pun App  ## » View examples

# The Beauty and Power of “Primitive” C++  Bjarne Stroustrup Morgan Stanley, Columbia University www.Stroustrup.com '\n'; • That () is ubiquitous and sometimes confusing • Easy to forget • I really miss operator.() • We could have had std::cout << md.name << " " << md.value << characters s in the tail Vector(Allocator* a, const char* s); // allocate characters s in the tail operator Span(1) { return {begin(), end()}; } // range checked by default };

Container Platform 4.14 Operator 在 OpenShift Container Platform 中使用 Operator Last Updated: 2024-02-23 OpenShift Container Platform 4.14 Operator 在 OpenShift Container Platform 中使用 Operator 法律通告 法律通告 Copyright 本文档提供有关在 OpenShift Container Platform 中使用 Operator 的信息。文中为集群管理员提供 了 Operator 的安装和管理说明，为开发人员提供了如何通过所安装的 Operator 创建应用程序的信 息。另外还提供了一些使用 Operator SDK 构建自用 Operator 的指南。 . . . . . . . . . . . . . . . . . 目 目录 录 第 第 1 章 章 OPERATOR 概述 概述 1.1. 对于开发人员 1.2. 对于管理员 1.3. 后续步骤 第 第 2 章 章 了解 了解 OPERATOR 2.1. 什么是 OPERATOR? 2.2. OPERATOR FRAMEWORK 打包格式 2.3. OPERATOR FRAMEWORK 常用术语表 2.4. OPERATOR LIFECYCLE MANAGER

KEPLER 硬件和虚拟化支持 ..... 4 2.4. 其他资源 ..... 5 第3章 为 RED HAT OPENSHIFT 安装电源监控 ..... 6 3.1. 安装 POWER 监控 OPERATOR ..... 6 3.2. 部署 KEPLER ..... 6 第4章 配置电源监控 ..... 8 4.1. KEPLER 配置 ..... 8 4.2. 监控 KEPLER 电源监控指标概述 ..... 12 5.4. 其他资源 ..... 14 第6章 卸载电源监控 ..... 15 6.1. 删除 KEPLER ..... 15 6.2. 卸载 POWER 监控 OPERATOR ..... 15 ## 第1章 RED HAT OPENSHIFT 发行注记 ![Image](/uploads/documents/4/0/2/b/402b9eba9406a1 集群中运行的重要电源命名空间，如 CPU 或 DRAM。 本发行注记介绍了 OpenShift Container Platform 中 Red Hat OpenShift 的电源监控的开发。 有关 Power 监控 Operator 的概述，请参阅关于电源监控。 ##### 1.1. 电源监控 0.1（技术预览） 此发行版本为 Red Hat OpenShift 引进了电源监控的技术预览版本。以下公告可用于电源监控

### Prometheus Deep Dive Monitoring. At scale Richard Hartmann & Frederic Branczyk @TwitchiH & @fredbrancz 2018-12-12 ## Who are we? ## Richard "RichiH" Hartmann • Swiss army chainsaw environments in mind It’s the second project to ever join CNCF and the de facto standard in cloud-native monitoring Kubelets, sidecars, microservices, ALL the cloud-native But it’s a monolithic application …why resilience, and also resilience What do you need for operations? • Power and cooling • Network connectivity • Observability, a.k.a. Monitoring • The rest you can fix ## Three main features • Storage backend

## Zero instrumentation monitoring with your first steps in eBPF eBPF Summit ## What will we be doing?  ## How are we going easier: ☐ First approach: C, LLVM/CLANG, tc ☐ Second approach: gobpf, bcc - Non-instrumentation monitoring  https://github

## Kubernetes Operator 实践 —— MySQL 容器化 刘林 搜狗资深工程师 ## 关于我  刘林 ## 搜狗商业平台研发部资深开发工程师 - 主要从事商业平台研发工作，在构建高性能、高可用大规模系统方面有丰富的实践经验 践经验 - 目前专注于云计算、DevOps 等相关领域，负责搜狗商业云平台的设计研发工作 ## TABLE OF CONTENTS 大纲 1. 背景介绍 2. Operator 的基本原理 3. MySQL Operator 设计实践 4. 小结 ## 搜狗商业平台  elasticsearch ## 有状态服务容器化 ## TABLE OF CONTENTS 大纲 1. 背景介绍 2. Operator 的基本原理 3. MySQL Operator 设计实践 4. 小结 ## 带来的新挑战 无状态服务 有状态服务 服务调度 ↓ 服务调度 状态保存 有状态服务集群 服务调度 状态保存 集群管理

and Network Monitoring by using eBPF Natalia Reka Ivanko, Isovalent eBPF Summit ## I ntroduction ● Wide variety of eBPF use cases (logging, CPU over overhead) • Today: ☐ Network Monitoring and Threat

## 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 architecture Work order deployment system can not meet the requirements of resource management. ## Operator  Action Analyze Analyze: difference from desired and actual config • Action: manage resource to desired config ## Operator: Advantages ## • Declarative system • Manage resource to final state continually • kube-apiserver

## +23 ## Leveraging the Power of C++ for Efficient Machine Learning on Embedded Devices ADRIAN STANCIU # Leveraging the power of C++ for efficient machine learning on embedded devices Adrian Stanciu ▶ Medical equipment (e.g. pacemakers) ## ▶ Characteristics: ▶ Limited hardware resources ▶ Low power consumption ▶ May have real-time performance constraints ## Machine learning on embedded devices