Experiment 6: K-Means November 27, 2018 1 Description In this exercise, you will use K-means to compress an image by reducing the number of colors it contains. To begin, download data6.zip and unpack RGB values of the 16 colors present in the image. In this exercise, you will use K-means to reduce the color count to k = 16. That is, you will compute 16 colors as the cluster centroids and replace each instead run K-means on the 128×128 image bird small.tiff. Once you have computed the cluster centroids on the small image, you will then use the 16 colors to replace the pixels in the large image. 3 K-means

Lecture 7: K-Means Feng Li Shandong University fli@sdu.edu.cn December 28, 2021 Feng Li (SDU) K-Means December 28, 2021 1 / 46 Outline 1 Clustering 2 K-Means Method 3 K-Means Optimization Problem Problem 4 Kernel K-Means 5 Hierarchical Clustering Feng Li (SDU) K-Means December 28, 2021 2 / 46 Clustering Usually an unsupervised learning problem Given: N unlabeled examples {x1, · · · , xN}; no no. of desired partitions K Goal: Group the examples into K “homogeneous” partitions Loosely speaking, it is classification without ground truth labels A good clustering is one that achieves: High within-cluster

Sebastian Toader & Zsolt Varga 2021-Feb-26 Apache Kafka with Istio on K8s 2 • Scalability • Resiliency • Security • Observability • Disaster recovery Production grade Apache Kafka on Kubernetes certificate attached automatically by Istio Proxy sidecar container • Client certificate includes the K8s service account of the Kafka client application • SPIFE:///ns//sa/

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A. 准备主机/虚拟机 安装 k8s 集群需要至少 4 台主机/虚拟机，下面是参考配置： 1 台作为 k8s master CPU：2 核, 内存：8GB, 系统盘：40GB, docker 数据盘：80GB 3 台作为 k8s node CPU：2 核, 内存：16GB, 系统盘：40GB, docker 数据盘：40GB, ceph 数据盘：1TB *下面是 vSphere vSphere 上创建虚拟机的步骤： A1. 创建 k8s-master CPU：2 核, 内存：8GB，系统盘：40GB，docker 数据盘：80GB step1. 从模板上新建虚拟机 Step2. 配置虚拟机网络 打开虚拟机的控制台： 设置主机名： hostnamectl set-hostname k8s-master 设置网络： cd /etc/s /dev/mapper/centos-docker df –Th A2. 创建 k8s-node1, k8s-node2, k8s-node3 内存：16GB, 系统盘：40GB，docker 数据盘：40GB，ceph 数据盘：200GB 【注】所有节点(k8s-master, k8s-node1, k8s-node2, k8s-node3)均需做以下 B~D： B. 升级&配置 centos7

Technology | United States Product and Service K3s Advancing the Tactical Edge with K3s and SUSE RGS 2 www.susergs.com Advancing the Tactical Edge with K3s and SUSE RGS Introducing Booz Allen Hamilton give warfighters the information edge on the battlefield. Capitalizing on open source solutions like K3s, Booz Allen’s SmartEdge solution allows bat- talions to make real-time, data-driven decisions which and increase the probability of mission success. 3 www.susergs.com Advancing the Tactical Edge with K3s and SUSE RGS Working in collaboration with Brandon Gul- la, Tim Nicklas, Chris Nuber and the team

Zabbix高级应用 --K8s集群监控 ����� ��������FiberHome 演讲主题： • CactiFans • Zabbix • Microservice • K8s • Golang https://blog.cactifans.com/ 无边界监控 应用架构发展趋势 数据采集 RESTful 接口 LLD – 低级别发现 低级发现提供了一种监控主机上变化实体，并 对采集器采集的原始数据通过管道进行处理，最终达到 数据展现和存储的要求。 例如 SNMP采集交换机内存 15MB string? 图形？触发器？ Kubernetes 架构 k8s node k8s pod k8s master 应用 Zabbix Agent HTTP Agent CPU/内存/磁盘/网络 服务/日志/... 状态/CPU/内存 Kubernetes 监控 Kubernetes metrics-server ① ② ③ Token Pods https://K8S_API_SERVER:6443/apis/metrics.k8s.io/v1beta1/pods Kubernetes Metrics Server API Nodes https://K8S_API_SERVER:6443/apis/metrics.k8s.io/v1beta1/nodes Zabbix HTTP Agent

Scaling a Multi-Tenant k8s Cluster in a Telco Pablo Moncada October 28, 2020 About MasMovil group ● 4th telecom company in Spain ● Provides voice and broadband services to +12M customers ● Several engineers ● Reduce costs ● Security issues ● Scalability issues Namespaces +400 Pods +10k Services +3k CPU +2k Mem +5TB Nodes +300 kube-proxy replacement NetworkPolicy logging Multi-cluster

镜像编译 服务发布 镜像同步 镜像上传 镜像下载 镜像安全 k8s tcp负载 https-http 虚拟主机 服务路由 traefik ingress-nginx nginx 流 量 入 口 k8s平台组件 k8s平台接入流程 k8s环境空间和应用名规范 k8s-namespace k8s-service k8s-app-name app-name ai-test ai-dc-server ai-dc-api 业务线名称 ai dt ad 现有环境名 test preview prod 统一规划环境名和业务应用名，适配标准自动化运维。 业务线名称采用拼音首字母缩写 k8s-namespaces 环境名称定义采用业务线缩写名加环境名组成 k8s-service名称、app名称和应用名称包名保持一致 k8s-api配置对象 作用 k8s-namespace 通 通过配置文件关键字dev/test/prod等声明应用所属的环境，隔离不同环境业务，通过特定标识来识别业务线。 k8s-service k8s-dns注册服务名，通过配置文件关键字关联业务线应用名称，保持应用和k8s之间的关联。 k8s-app-name 容器host应用名称，deployment 名，通过配置文件关键字关联业务线应用名称，保持应用和k8s之间的关联。 规范 范例 应用名称 ai-dc-server