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 参考： https://kubernetes addons（插件） Addon是实现集群功能的Pod和Service。Pod可由Deployment、ReplicationController等进⾏管理。Namespace的插件 对象则是在 kube-system 这个namespace中被创建的。 Addon manager创建并维护addon的资源。详⻅这⾥： here 。 DNS 虽然其他Addon不是严格要求的，但所有Kubernetes集群都应该有 STATUS AGE default Active 1d kube-system Active 1d Kubernetes初始有两个Namespace： default ：对于没有其他Namespace的对象的默认Namespace kube-system ：由Kubernetes系统所创建的对象的Namespace 为请求设置Namespace

clean up finished build tasks after if finishes CronJob Spec schedule Cron style scheduler configuration concurrencyPolicy Job Template Concurrency policy of CronJob suspend Whether suspend latter MySQL k8s API MySQL MySQL • Pipeline configuration and history in MySQL • Logging in central logging service - ElasticSearch • Metric data in monitoring system - prometheus • Alertmanager to invoke Update jobs status to buildjob Submit buildjob List/Watch buildjob Pod Pod Pod Pod Build task configuration - map to k8s Job, can also be a raw k8s job Job / Pod / Node info BuildJob / Job status Pipeline

Farabi KubeCon + CloudNativeCon China 2018 Hello! Giri Kuncoro System Engineer Go-Jek Indonesia @girikuncoro Iqbal Farabi System Engineer Go-Jek Indonesia @iqbal_farabi We’re from Jakarta, Indonesia International Expansion Projects • High availability DBs lead to fewer outage Higher Uptime • System resources like CPU, memory, etc. are more effectively utilized in container world than in VMs. Automatic service discovery allows engineers to not maintain any configuration for multi-data center deployments. Easy Configuration • Save 60% infrastructure cost per year per country. Cost-effective

Scalable Kubernetes Applications • Scalable Infrastructure for Applications Application Operating System Physical Infrastructure Platform Containers as Enabler Fast Boot Environments Rapidly Portable Needed Application Operating System Physical Infrastructure Containers and VMs - A Practical Comparison Containers Containers virtualize the operating system limiting the the number of application applications on the same OS Allows you to run multiple OS on the same hardware Application Operating System Physical Infrastructure Containers VMware Hypervisor VMs Docker Containers User Cases 9

Tencent’s business by using kubernetes native approach. • Adapt to various internal systems like Route System, CMDB, CI, Security Platform, etc. • Declarative application lifecycle management. • Support big without restarting container Ø High-performance Ø Safe autoscaling decisions Ø Personalized configuration of VWA objects Ø Cooperate with HPA through events Vertical Workload AutoScaler (VWA) Recommender Autoscaler ) Ø Deploy HPAPlus-Controller independently. Ø High Performance. Ø Personalized configuration of HPA objects. Ø Calculate replicas based on pod resource request or limit. Ø Cooperate with

personalization configuration is not supported. Worker HPA1 HPA2 … HPAn HPA1 HPAPlus-controller Worker HPA1 HPA2 … HPAn HPA1 1. HPA can be turned on/off separately 2. Support for separate configuration of quota of Product1 Product2 Quota Online Pod Offline Pod Cannot exceed Offline Quota DynamicQuota System Architechture Diagram QA

应用的工作负载和运维能力的抽象程度越高，用户体验越好 抽象程度 学习曲线 高 低 低 高 Deployment Pod Service Node … PodTemplate Configuration Revision Route $ heroku apps $ heroku domains $ heroku releases $ heroku pipeline $ rio run 缺乏交互、复用、可移植能 力。不同重复造轮子只是适 配不同 API 如何基于 K8s ，构建出一个既用户友好，又高可扩展，还 统一、标准化的应用管理平台？ 简单的“客户端”抽象： DCL (Data Configuration Language) 对 K8s 资源进行抽象实际上就是在操纵 YAML 数据，通过 DCL 来完成相比于 CRD + controller 更简单 CUE • 功能强大：专注于操纵数据，而不是写 com/180074935/channel/detail?cid=138178 KubeVela demo - KubeVela Cli 整体能力介绍 - Getting started/Application/Traits/System/Capability - 应用创建 - by OAM: https://github.com/zzxwill/try-cloudnative/tree/master/cloudnativeto-presentation-

performance, resource optimization and availability through tuning of vSphere, and Kubernetes configuration and labeling. This is applicable to any K8s distribution running on the vSphere stack. Agenda g. Oracle, MongoDB), present a workload which will attempt to detect and consume as much of the system’s memory as possible. Where does this lead? Node 0 32GB Node 1 21GB 2 CPU Nodes – NUMA host that supports health reporting, Pro-active failure avoidance can also be engaged. Example loss of a system cooling fan, degraded storage, or can trigger automated evacuation before host failure. 25 Configuring

performance, resource optimization and availability through tuning of vSphere, and Kubernetes configuration and labeling. This is applicable to any K8s distribution running on the vSphere stack. Agenda g. Oracle, MongoDB), present a workload which will attempt to detect and consume as much of the system’s memory as possible. Where does this lead? Node 0 32GB Node 1 21GB 2 CPU Nodes – NUMA host that supports health reporting, Pro-active failure avoidance can also be engaged. Example loss of a system cooling fan, degraded storage, or can trigger automated evacuation before host failure. 26 Configuring