kubeadm init --kubernetes- version=v1.19.4 \ --apiserver-adver�se- address=10.99.1.51 \ # api server地址 --pod-network-cidr=10.244.0.0/16 \ # pod容器网段 --service-cidr=10.7.0.0/16 \ # service网段，即cluster kubeadm init --kubernetes- version=v1.28.2 \ --apiserver-adver�se- address=10.99.1.51 \ # api server地址 --pod-network-cidr=10.244.0.0/16 \ # pod容器网段 --service-cidr=10.7.0.0/16 \ # service网段，即cluster 高可用集群拓扑图： ★先配置HA高可用的反向代理 本例中vip为10.99.1.54（三台master ip为10.99.1.51~53）使用haproxy做反向代理 frontend k8s_api_tcp_6443 bind *:6443 mode tcp default_backend my_k8s_cluster_6443 backend my_k8s_cluster_6443

01-什么是Kubernetes 02-安装单机版Kubernetes 03-使⽤Kubespray部署⽣产可⽤的Kubernetes集群（1.11.2） 04-K8s组件 05-Kubernetes API 06-理解K8s对象 07-Name 08-Namespace 09-Label和Selector 10-Annotation 11-K8s架构及基本概念 12-Master与Node的通信 允许⽤户使⽤⾃定义信息来装饰资源以⽅便他们的⼯作流程， 并为管理⼯具提供检查点状态的简单⽅法。 此外， Kubernetes control plane 所⽤的API 与开发⼈员和⽤户可⽤的API相同。⽤户可以使⽤ their own API 编写⾃⼰ 的控制器，例如 scheduler ，这些API可由通⽤ command-line tool 定位。 这种 design 使得许多其他系统可以构建在Kubernetes上。 io/article/8136 启⽤Kubernetes Dashboard 执⾏： kubectl proxy 02-安装单机版Kubernetes 8 访问： http://localhost:8001/api/v1/namespaces/kube-system/services/https:kubernetes-dashboard:/proxy/#!/overview? namespace=default

Highest Level • Container Cluster = “Desired State Management” – Kubernetes Cluster Services (w/API) • Node = Container Host w/agent called “Kubelet” • Application Deployment File = Configuration File be running Worker Node Worker Node Worker Node Kubernetes Master Node (Master & etcd nodes) API K K K App_Y.yaml ContainerImage1 Replicas: 1 ContainerImage2 Replicas: 2 https://youtu.be/PH-2FfFD2PU Master API Cluster A Worker Worker Worker Kubernetes Master API Cluster B Operator Developer Architecture PKS Controller IaaS Worker Worker Kubernetes Cluster Services API Cluster3

traefik-config data: traefik.yaml: |- serversTransport: insecureSkipVerify: true api: insecure: true dashboard: true debug: true metrics: prometheus: yaml persistentVolume: enabled: true ## mongodb-replicaset data Persistent Volume Storage Class ## If defined, storageClassName: ## If set to "-", storageClassName: "", which port: 8888 ingress: enabled: false annotations: {} # kubernetes.io/ingress.class: nginx # kubernetes.io/tls-acme: "true" hosts: - host: chart-example.local

running in its own process and communicating with lightweight mechanisms, often an HTTP resource API. These services are built around business capabilities and independently deployable by fully automated monoliths-to-microservices 微服务拆分原则 DevOps 服务框架 Dubbo 可观测性 混沌工程 服务治理 Spring Cloud 多语言微服务 API管理 服务压测 分布式事务 分布式调度 API网关 服务注册发现 负载均衡 服务配置 无损下线 服务容错 服务路由 服务鉴权 限流降级 服务元数据 服务测试 服务mock 持续集成 IDE插件 应用监控 链路追踪 Dev-Sec-Ops 无损下线 离群实例摘除 标签路由 服务鉴权 链路跟踪 金丝雀发布 API管理 服务测试 限流降级 故障注入 • 业务无侵入、无感知 • 0升级成本 • 全面兼容开源 注册中心 元数据中心 微服务引擎 基于 Java Agent 的服务治理 public class BaseLoadBalancer { … @Override public List

OpenCost 79. OpenRewrite 80. OrbStack 81. Pixie 82. Tabnine 暂缓 — 采纳 83. Playwright 试验 84. .NET Minimal API 85. Ajv 86. Armeria 87. AWS SAM 88. Dart 89. fast-check 90. Kotlin with Spring 91. Mockery 92. Netflix OpenTelemetry 94. Polars 95. Pushpin 96. Snowpark 评估 97. 基准配置文件 98. GGML 99. GPTCache 100. 语法性别 API 101. htmx 102. Kotlin Kover 103. LangChain 104. LlamaIndex 105. promptfoo 106. Semantic Kernel 107 组件测试阶段的一种考察指标。尽管诸如 chai-a11y-axe 的测试框架 插件 API 已提供了基础的可访问性断言，具有可访问性意识的组件测试设计依然能够帮助测试进一步检验屏幕 阅读器和其他辅助技术所需的全量语义元素。 首先，在测试验证元素时，通过 ARIA 角色或者元素的其它语义化属性查找元素，而不采用元素的 test id 或 class 属性。像 Testing Library 的一些测试库甚至已

Pod from apiserver and then start the container. Gaps for spark Spark on Kubernetes with volcano API-Server Volcano Scheduler Kubernetes master Podgroup Spark driver pod executor pod executor pod spark-role: driver name: job-1574739729783-driver namespace: default resourceVersion: “12093805” selfLink: /api/v1/namespaces/default/pods/job- 1574739729783-driver uid: f26a81f3-10f8-11ea-938f-fa163eddd2ce Spec: spark-submit \ --master k8s://https://192.168.45.93:5443 \ --deploy-mode cluster \ --name query \ --class com.databricks.spark.sql.perf.BenchmarkQuery \ --conf spark.kubernetes.volcano.enable=true \ --conf

Install API server - Config them correctly - Start them Installation - etcd - SSH - Install etcd - Config them correctly - Start them Installation kops, kubeup.sh, kube-AWS,... AWS, GCP API node1 AWS, GCP API node1 node2 node3 Rollback ??? AWS, GCP API node1 node2 node3 Healing AWS, GCP API node2 node3 Healing AWS, GCP API node2 node3 node1’ Create node Healing AWS, GCP API node2 node3 self-hosted Kubernetes? ● Kubernetes manages own core components ● Core components deployed as native API objects Self-hosted k8s Architecture Why Self-host Kubernetes? ● Operational expertise around app

targetAverageUtilization: 50 • API Object Oriented Programming Core of API “OO” 1.API objects stores in etcd 2.Control loops (Sync Loop) to reconcile API objects Example kubelet SyncLoop proxy proxy 1 Pod created etcd scheduler api-server Example kubelet SyncLoop kubelet SyncLoop proxy proxy 2 Object added etcd scheduler api-server Example kubelet SyncLoop kubelet SyncLoop a node etcd scheduler api-server Example kubelet SyncLoop kubelet SyncLoop proxy proxy 4.1 Detected bind operation 4.2 Start Pod on this machine etcd scheduler api-server Pattern 1: Controller

Services (Networking, Storage, DNS, Load Balancer, Security) master master api api © 2017 Rancher Labs, Inc. Kubernetes 1.7的扩展特性 • API aggregation(beta) • CustomResourceDefinitions(beta) • Support for extensible flexible way to extend managed resource into a current Kubernetes cluster • Auto-generated API in Kubernetes API server • Customized resource controller to implement your business logic of managed resource and Resource Item my-crontab.yaml © 2017 Rancher Labs, Inc. How Does The Controller Work ETCD API Server Kubernetes Core controllers added creating running stoped deleted Resource Item Resource