# 用kubeadm在Ubuntu上快速构建Kubernetes测试集群
本文将介绍如何在Ubuntu server 16.04版本上安装kubeadm,并利用kubeadm快速的在Ubuntu server 版本 16.04上构建一个kubernetes的基础的测试集群,用来做学习和测试用途,当前(2018-04-14)最新的版本是1.10.1。参考文档包括kubernetes官方网站的[kubeadm安装文档](https://kubernetes.io/docs/setup/independent/install-kubeadm/)以及[利用kubeadm创建集群](https://kubernetes.io/docs/setup/independent/create-cluster-kubeadm/)这两个文档。
生产用途的环境,需要考虑各个组件的高可用,建议参考Kubernetes的官方的相关的安装文档。
## 概述
本次安装建议至少4台服务器或者虚拟机,每台服务器4G内存,2个CPU核心以上,基本架构为1台master节点,3台slave节点。整个安装过程将在Ubuntu服务器上安装完kubeadm,以及安装kubernetes的基本集群,包括canal网络,另后台存储可参考本书的最佳实践中的存储管理内容。
本次安装一共4个节点,节点信息如下:
| 角色 | 主机名 | IP地址 |
|----------|----------- |------------|
| Master | Ubuntu-master | 192.168.5.200 |
| Slave | ubuntu-1 | 192.168.5.201 |
| Slave | ubuntu-2 | 192.168.5.202 |
| Slave | ubuntu-3 | 192.168.5.203 |
## 准备工作
- 默认方式安装Ubuntu Server 版本 16.04
- 配置主机名映射,每个节点
```bash
# cat /etc/hosts
127.0.0.1 localhost
192.168.0.200 Ubuntu-master
192.168.0.201 Ubuntu-1
192.168.0.202 Ubuntu-2
192.168.0.203 Ubuntu-3
```
* 如果连接gcr网站不方便,无法下载镜像,会导致安装过程卡住,可以下载我导出的镜像包,[我导出的镜像网盘链接](https://pan.baidu.com/s/1ZJFRt_UNCQvwcu9UENr_gw),解压缩以后是多个个tar包,使用```docker load< xxxx.tar``` 导入各个文件即可)。
## 在所有节点上安装kubeadm
查看apt安装源如下配置,使用阿里云的系统和kubernetes的源。
```bash
$ cat /etc/apt/sources.list
# 系统安装源
deb http://mirrors.aliyun.com/ubuntu/ xenial main restricted
deb http://mirrors.aliyun.com/ubuntu/ xenial-updates main restricted
deb http://mirrors.aliyun.com/ubuntu/ xenial universe
deb http://mirrors.aliyun.com/ubuntu/ xenial-updates universe
deb http://mirrors.aliyun.com/ubuntu/ xenial multiverse
deb http://mirrors.aliyun.com/ubuntu/ xenial-updates multiverse
deb http://mirrors.aliyun.com/ubuntu/ xenial-backports main restricted universe multiverse
# kubeadm及kubernetes组件安装源
deb https://mirrors.aliyun.com/kubernetes/apt kubernetes-xenial main
```
安装docker,可以使用系统源的的docker.io软件包,版本1.13.1,我的系统里是已经安装好最新的版本了。
```bash
# apt-get install docker.io
Reading package lists... Done
Building dependency tree
Reading state information... Done
docker.io is already the newest version (1.13.1-0ubuntu1~16.04.2).
0 upgraded, 0 newly installed, 0 to remove and 4 not upgraded.
```
更新源,可以不理会gpg的报错信息。
```bash
# apt-get update
Hit:1 http://mirrors.aliyun.com/ubuntu xenial InRelease
Hit:2 http://mirrors.aliyun.com/ubuntu xenial-updates InRelease
Hit:3 http://mirrors.aliyun.com/ubuntu xenial-backports InRelease
Get:4 https://mirrors.aliyun.com/kubernetes/apt kubernetes-xenial InRelease [8,993 B]
Ign:4 https://mirrors.aliyun.com/kubernetes/apt kubernetes-xenial InRelease
Fetched 8,993 B in 0s (20.7 kB/s)
Reading package lists... Done
W: GPG error: https://mirrors.aliyun.com/kubernetes/apt kubernetes-xenial InRelease: The following signatures couldn't be verified because the public key is not available: NO_PUBKEY 6A030B21BA07F4FB
W: The repository 'https://mirrors.aliyun.com/kubernetes/apt kubernetes-xenial InRelease' is not signed.
N: Data from such a repository can't be authenticated and is therefore potentially dangerous to use.
N: See apt-secure(8) manpage for repository creation and user configuration details.
```
强制安装kubeadm,kubectl,kubelet软件包。
```bash
# apt-get install -y kubelet kubeadm kubectl --allow-unauthenticated
Reading package lists... Done
Building dependency tree
Reading state information... Done
The following additional packages will be installed:
kubernetes-cni socat
The following NEW packages will be installed:
kubeadm kubectl kubelet kubernetes-cni socat
0 upgraded, 5 newly installed, 0 to remove and 4 not upgraded.
Need to get 56.9 MB of archives.
After this operation, 410 MB of additional disk space will be used.
WARNING: The following packages cannot be authenticated!
kubernetes-cni kubelet kubectl kubeadm
Authentication warning overridden.
Get:1 http://mirrors.aliyun.com/ubuntu xenial/universe amd64 socat amd64 1.7.3.1-1 [321 kB]
Get:2 https://mirrors.aliyun.com/kubernetes/apt kubernetes-xenial/main amd64 kubernetes-cni amd64 0.6.0-00 [5,910 kB]
Get:3 https://mirrors.aliyun.com/kubernetes/apt kubernetes-xenial/main amd64 kubelet amd64 1.10.1-00 [21.1 MB]
Get:4 https://mirrors.aliyun.com/kubernetes/apt kubernetes-xenial/main amd64 kubectl amd64 1.10.1-00 [8,906 kB]
Get:5 https://mirrors.aliyun.com/kubernetes/apt kubernetes-xenial/main amd64 kubeadm amd64 1.10.1-00 [20.7 MB]
Fetched 56.9 MB in 5s (11.0 MB/s)
Use of uninitialized value $_ in lc at /usr/share/perl5/Debconf/Template.pm line 287.
Selecting previously unselected package kubernetes-cni.
(Reading database ... 191799 files and directories currently installed.)
Preparing to unpack .../kubernetes-cni_0.6.0-00_amd64.deb ...
Unpacking kubernetes-cni (0.6.0-00) ...
Selecting previously unselected package socat.
Preparing to unpack .../socat_1.7.3.1-1_amd64.deb ...
Unpacking ....
....
```
kubeadm安装完以后,就可以使用它来快速安装部署Kubernetes集群了。
## 使用kubeadm安装Kubernetes集群
在做好了准备工作之后,下面介绍如何使用 kubeadm 安装 Kubernetes 集群,我们将首先安装 master 节点,然后将 slave 节点一个个加入到集群中去。
### 使用kubeadmin初始化master节点
因为使用要使用canal,因此需要在初始化时加上网络配置参数,设置kubernetes的子网为10.244.0.0/16,注意此处不要修改为其他地址,因为这个值与后续的canal的yaml值要一致,如果修改,请一并修改。
这个下载镜像的过程涉及翻墙,因为会从gcr的站点下载容器镜像。。。(如果大家翻墙不方便的话,可以用我在上文准备工作中提到的导出的镜像)。
如果有能够连接gcr站点的网络,那么整个安装过程非常简单。
```bash
# kubeadm init --pod-network-cidr=10.244.0.0/16 --apiserver-advertise-address=192.168.0.200
[init] Using Kubernetes version: v1.10.1
[init] Using Authorization modes: [Node RBAC]
[preflight] Running pre-flight checks.
[WARNING FileExisting-crictl]: crictl not found in system path
Suggestion: go get github.com/kubernetes-incubator/cri-tools/cmd/crictl
[preflight] Starting the kubelet service
[certificates] Generated ca certificate and key.
[certificates] Generated apiserver certificate and key.
[certificates] apiserver serving cert is signed for DNS names [ubuntu-master kubernetes kubernetes.default kubernetes.default.svc kubernetes.default.svc.cluster.local] and IPs [10.96.0.1 192.168.0.200]
[certificates] Generated apiserver-kubelet-client certificate and key.
[certificates] Generated etcd/ca certificate and key.
[certificates] Generated etcd/server certificate and key.
[certificates] etcd/server serving cert is signed for DNS names [localhost] and IPs [127.0.0.1]
[certificates] Generated etcd/peer certificate and key.
[certificates] etcd/peer serving cert is signed for DNS names [ubuntu-master] and IPs [192.168.0.200]
[certificates] Generated etcd/healthcheck-client certificate and key.
[certificates] Generated apiserver-etcd-client certificate and key.
[certificates] Generated sa key and public key.
[certificates] Generated front-proxy-ca certificate and key.
[certificates] Generated front-proxy-client certificate and key.
[certificates] Valid certificates and keys now exist in "/etc/kubernetes/pki"
[kubeconfig] Wrote KubeConfig file to disk: "/etc/kubernetes/admin.conf"
[kubeconfig] Wrote KubeConfig file to disk: "/etc/kubernetes/kubelet.conf"
[kubeconfig] Wrote KubeConfig file to disk: "/etc/kubernetes/controller-manager.conf"
[kubeconfig] Wrote KubeConfig file to disk: "/etc/kubernetes/scheduler.conf"
[controlplane] Wrote Static Pod manifest for component kube-apiserver to "/etc/kubernetes/manifests/kube-apiserver.yaml"
[controlplane] Wrote Static Pod manifest for component kube-controller-manager to "/etc/kubernetes/manifests/kube-controller-manager.yaml"
[controlplane] Wrote Static Pod manifest for component kube-scheduler to "/etc/kubernetes/manifests/kube-scheduler.yaml"
[etcd] Wrote Static Pod manifest for a local etcd instance to "/etc/kubernetes/manifests/etcd.yaml"
[init] Waiting for the kubelet to boot up the control plane as Static Pods from directory "/etc/kubernetes/manifests".
[init] This might take a minute or longer if the control plane images have to be pulled.
[apiclient] All control plane components are healthy after 28.003828 seconds
[uploadconfig] Storing the configuration used in ConfigMap "kubeadm-config" in the "kube-system" Namespace
[markmaster] Will mark node ubuntu-master as master by adding a label and a taint
[markmaster] Master ubuntu-master tainted and labelled with key/value: node-role.kubernetes.io/master=""
[bootstraptoken] Using token: rw4enn.mvk547juq7qi2b5f
[bootstraptoken] Configured RBAC rules to allow Node Bootstrap tokens to post CSRs in order for nodes to get long term certificate credentials
[bootstraptoken] Configured RBAC rules to allow the csrapprover controller automatically approve CSRs from a Node Bootstrap Token
[bootstraptoken] Configured RBAC rules to allow certificate rotation for all node client certificates in the cluster
[bootstraptoken] Creating the "cluster-info" ConfigMap in the "kube-public" namespace
[addons] Applied essential addon: kube-dns
[addons] Applied essential addon: kube-proxy
Your Kubernetes master has initialized successfully!
To start using your cluster, you need to run the following as a regular user:
mkdir -p $HOME/.kube
sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
sudo chown $(id -u):$(id -g) $HOME/.kube/config
You should now deploy a pod network to the cluster.
Run "kubectl apply -f [podnetwork].yaml" with one of the options listed at:
https://kubernetes.io/docs/concepts/cluster-administration/addons/
You can now join any number of machines by running the following on each node
as root:
kubeadm join 192.168.0.200:6443 --token rw4enn.mvk547juq7qi2b5f --discovery-token-ca-cert-hash sha256:ba260d5191213382a806a9a7d92c9e6bb09061847c7914b1ac584d0c69471579
```
执行如下命令来配置kubectl。
```bash
mkdir -p $HOME/.kube
sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
sudo chown $(id -u):$(id -g) $HOME/.kube/config
```
这样master的节点就配置好了,并且可以使用kubectl来进行各种操作了,根据上面的提示接着往下做,将slave节点加入到集群。
### Slave节点加入集群
在slave节点执行如下的命令,将slave节点加入集群,正常的返回信息如下:
```bash
#kubeadm join 192.168.0.200:6443 --token rw4enn.mvk547juq7qi2b5f --discovery-token-ca-cert-hash sha256:ba260d5191213382a806a9a7d92c9e6bb09061847c7914b1ac584d0c69471579
[preflight] Running pre-flight checks.
[WARNING FileExisting-crictl]: crictl not found in system path
Suggestion: go get github.com/kubernetes-incubator/cri-tools/cmd/crictl
[discovery] Trying to connect to API Server "192.168.0.200:6443"
[discovery] Created cluster-info discovery client, requesting info from "https://192.168.0.200:6443"
[discovery] Requesting info from "https://192.168.0.200:6443" again to validate TLS against the pinned public key
[discovery] Cluster info signature and contents are valid and TLS certificate validates against pinned roots, will use API Server "192.168.0.200:6443"
[discovery] Successfully established connection with API Server "192.168.0.200:6443"
This node has joined the cluster:
* Certificate signing request was sent to master and a response
was received.
* The Kubelet was informed of the new secure connection details.
Run 'kubectl get nodes' on the master to see this node join the cluster.
```
等待节点加入完毕。加入中状态。
```bash
# kubectl get node
NAME STATUS ROLES AGE VERSION
ubuntu-1 NotReady <none> 6m v1.10.1
ubuntu-2 NotReady <none> 6m v1.10.1
ubuntu-3 NotReady <none> 6m v1.10.1
ubuntu-master NotReady master 10m v1.10.1
```
在master节点查看信息如下状态为节点加入完毕。
```bash
root@Ubuntu-master:~# kubectl get pod -n kube-system -o wide
NAME READY STATUS RESTARTS AGE IP NODE
etcd-ubuntu-master 1/1 Running 0 21m 192.168.0.200 ubuntu-master
kube-apiserver-ubuntu-master 1/1 Running 0 21m 192.168.0.200 ubuntu-master
kube-controller-manager-ubuntu-master 1/1 Running 0 22m 192.168.0.200 ubuntu-master
kube-dns-86f4d74b45-wkfk2 0/3 Pending 0 22m <none> <none>
kube-proxy-6ddb4 1/1 Running 0 22m 192.168.0.200 ubuntu-master
kube-proxy-7ngb9 1/1 Running 0 17m 192.168.0.202 ubuntu-2
kube-proxy-fkhhx 1/1 Running 0 18m 192.168.0.201 ubuntu-1
kube-proxy-rh4lq 1/1 Running 0 18m 192.168.0.203 ubuntu-3
kube-scheduler-ubuntu-master 1/1 Running 0 21m 192.168.0.200 ubuntu-master
```
kubedns组件需要在网络插件完成安装以后会自动安装完成。
## 安装网络插件canal
从[canal官方文档参考](https://docs.projectcalico.org/v3.0/getting-started/kubernetes/installation/hosted/canal/),如下网址下载2个文件并且安装,其中一个是配置canal的RBAC权限,一个是部署canal的DaemonSet。
```bash
# kubectl apply -f https://docs.projectcalico.org/v3.0/getting-started/kubernetes/installation/hosted/canal/rbac.yaml
clusterrole.rbac.authorization.k8s.io "calico" created
clusterrole.rbac.authorization.k8s.io "flannel" created
clusterrolebinding.rbac.authorization.k8s.io "canal-flannel" created
clusterrolebinding.rbac.authorization.k8s.io "canal-calico" created
```
```bash
# kubectl apply -f https://docs.projectcalico.org/v3.0/getting-started/kubernetes/installation/hosted/canal/canal.yaml
configmap "canal-config" created
daemonset.extensions "canal" created
customresourcedefinition.apiextensions.k8s.io "felixconfigurations.crd.projectcalico.org" created
customresourcedefinition.apiextensions.k8s.io "bgpconfigurations.crd.projectcalico.org" created
customresourcedefinition.apiextensions.k8s.io "ippools.crd.projectcalico.org" created
customresourcedefinition.apiextensions.k8s.io "clusterinformations.crd.projectcalico.org" created
customresourcedefinition.apiextensions.k8s.io "globalnetworkpolicies.crd.projectcalico.org" created
customresourcedefinition.apiextensions.k8s.io "networkpolicies.crd.projectcalico.org" created
serviceaccount "canal" created
```
查看canal的安装状态。
```bash
# kubectl get pod -n kube-system -o wide
NAME READY STATUS RESTARTS AGE IP NODE
canal-fc94k 3/3 Running 10 4m 192.168.0.201 ubuntu-1
canal-rs2wp 3/3 Running 10 4m 192.168.0.200 ubuntu-master
canal-tqd4l 3/3 Running 10 4m 192.168.0.202 ubuntu-2
canal-vmpnr 3/3 Running 10 4m 192.168.0.203 ubuntu-3
etcd-ubuntu-master 1/1 Running 0 28m 192.168.0.200 ubuntu-master
kube-apiserver-ubuntu-master 1/1 Running 0 28m 192.168.0.200 ubuntu-master
kube-controller-manager-ubuntu-master 1/1 Running 0 29m 192.168.0.200 ubuntu-master
kube-dns-86f4d74b45-wkfk2 3/3 Running 0 28m 10.244.2.2 ubuntu-3
kube-proxy-6ddb4 1/1 Running 0 28m 192.168.0.200 ubuntu-master
kube-proxy-7ngb9 1/1 Running 0 24m 192.168.0.202 ubuntu-2
kube-proxy-fkhhx 1/1 Running 0 24m 192.168.0.201 ubuntu-1
kube-proxy-rh4lq 1/1 Running 0 24m 192.168.0.203 ubuntu-3
kube-scheduler-ubuntu-master 1/1 Running 0 28m 192.168.0.200 ubuntu-master
```
可以看到canal和kube-dns都已经运行正常,一个基本功能正常的测试环境就部署完毕了。
此时查看集群的节点状态,版本为最新的版本v1.10.1。
```bash
# kubectl get node
NAME STATUS ROLES AGE VERSION
ubuntu-1 Ready <none> 27m v1.10.1
ubuntu-2 Ready <none> 27m v1.10.1
ubuntu-3 Ready <none> 27m v1.10.1
ubuntu-master Ready master 31m v1.10.1
```
让master也运行pod(默认master不运行pod),这样在测试环境做是可以的,不建议在生产环境如此操作。
```bash
#kubectl taint nodes --all node-role.kubernetes.io/master-
node "ubuntu-master" untainted
taint "node-role.kubernetes.io/master:" not found
taint "node-role.kubernetes.io/master:" not found
taint "node-role.kubernetes.io/master:" not found
```
后续如果想要集群其他功能启用,请参考后续文章。
## 参考
- [Overview of kubeadm](https://kubernetes.io/docs/reference/setup-tools/kubeadm/kubeadm/)
- 序言
- 云原生
- 云原生(Cloud Native)的定义
- CNCF - 云原生计算基金会简介
- CNCF章程
- 云原生的设计哲学
- Play with Kubernetes
- 快速部署一个云原生本地实验环境
- Kubernetes与云原生应用概览
- 云原生应用之路——从Kubernetes到Cloud Native
- 云原生编程语言
- 云原生编程语言Ballerina
- 云原生编程语言Pulumi
- 云原生的未来
- Kubernetes架构
- 设计理念
- Etcd解析
- 开放接口
- CRI - Container Runtime Interface(容器运行时接口)
- CNI - Container Network Interface(容器网络接口)
- CSI - Container Storage Interface(容器存储接口)
- Kubernetes中的网络
- Kubernetes中的网络解析——以flannel为例
- Kubernetes中的网络解析——以calico为例
- 具备API感知的网络和安全性管理开源软件Cilium
- Cilium架构设计与概念解析
- 资源对象与基本概念解析
- Pod状态与生命周期管理
- Pod概览
- Pod解析
- Init容器
- Pause容器
- Pod安全策略
- Pod的生命周期
- Pod Hook
- Pod Preset
- Pod中断与PDB(Pod中断预算)
- 集群资源管理
- Node
- Namespace
- Label
- Annotation
- Taint和Toleration(污点和容忍)
- 垃圾收集
- 控制器
- Deployment
- StatefulSet
- DaemonSet
- ReplicationController和ReplicaSet
- Job
- CronJob
- Horizontal Pod Autoscaling
- 自定义指标HPA
- 准入控制器(Admission Controller)
- 服务发现
- Service
- Ingress
- Traefik Ingress Controller
- 身份与权限控制
- ServiceAccount
- RBAC——基于角色的访问控制
- NetworkPolicy
- 存储
- Secret
- ConfigMap
- ConfigMap的热更新
- Volume
- Persistent Volume(持久化卷)
- Storage Class
- 本地持久化存储
- 集群扩展
- 使用自定义资源扩展API
- 使用CRD扩展Kubernetes API
- Aggregated API Server
- APIService
- Service Catalog
- 资源调度
- QoS(服务质量等级)
- 用户指南
- 资源对象配置
- 配置Pod的liveness和readiness探针
- 配置Pod的Service Account
- Secret配置
- 管理namespace中的资源配额
- 命令使用
- Docker用户过度到kubectl命令行指南
- kubectl命令概览
- kubectl命令技巧大全
- 使用etcdctl访问kubernetes数据
- 集群安全性管理
- 管理集群中的TLS
- kubelet的认证授权
- TLS bootstrap
- 创建用户认证授权的kubeconfig文件
- IP伪装代理
- 使用kubeconfig或token进行用户身份认证
- Kubernetes中的用户与身份认证授权
- Kubernetes集群安全性配置最佳实践
- 访问Kubernetes集群
- 访问集群
- 使用kubeconfig文件配置跨集群认证
- 通过端口转发访问集群中的应用程序
- 使用service访问群集中的应用程序
- 从外部访问Kubernetes中的Pod
- Cabin - Kubernetes手机客户端
- Kubernetic - Kubernetes桌面客户端
- Kubernator - 更底层的Kubernetes UI
- 在Kubernetes中开发部署应用
- 适用于kubernetes的应用开发部署流程
- 迁移传统应用到Kubernetes中——以Hadoop YARN为例
- 最佳实践概览
- 在CentOS上部署Kubernetes集群
- 创建TLS证书和秘钥
- 创建kubeconfig文件
- 创建高可用etcd集群
- 安装kubectl命令行工具
- 部署master节点
- 安装flannel网络插件
- 部署node节点
- 安装kubedns插件
- 安装dashboard插件
- 安装heapster插件
- 安装EFK插件
- 生产级的Kubernetes简化管理工具kubeadm
- 使用kubeadm在Ubuntu Server 16.04上快速构建测试集群
- 服务发现与负载均衡
- 安装Traefik ingress
- 分布式负载测试
- 网络和集群性能测试
- 边缘节点配置
- 安装Nginx ingress
- 安装配置DNS
- 安装配置Kube-dns
- 安装配置CoreDNS
- 运维管理
- Master节点高可用
- 服务滚动升级
- 应用日志收集
- 配置最佳实践
- 集群及应用监控
- 数据持久化问题
- 管理容器的计算资源
- 集群联邦
- 存储管理
- GlusterFS
- 使用GlusterFS做持久化存储
- 使用Heketi作为Kubernetes的持久存储GlusterFS的external provisioner
- 在OpenShift中使用GlusterFS做持久化存储
- GlusterD-2.0
- Ceph
- 用Helm托管安装Ceph集群并提供后端存储
- 使用Ceph做持久化存储
- 使用rbd-provisioner提供rbd持久化存储
- OpenEBS
- 使用OpenEBS做持久化存储
- Rook
- NFS
- 利用NFS动态提供Kubernetes后端存储卷
- 集群与应用监控
- Heapster
- 使用Heapster获取集群和对象的metric数据
- Prometheus
- 使用Prometheus监控kubernetes集群
- Prometheus查询语言PromQL使用说明
- 使用Vistio监控Istio服务网格中的流量
- 分布式跟踪
- OpenTracing
- 服务编排管理
- 使用Helm管理Kubernetes应用
- 构建私有Chart仓库
- 持续集成与发布
- 使用Jenkins进行持续集成与发布
- 使用Drone进行持续集成与发布
- 更新与升级
- 手动升级Kubernetes集群
- 升级dashboard
- 领域应用概览
- 微服务架构
- 微服务中的服务发现
- 使用Java构建微服务并发布到Kubernetes平台
- Spring Boot快速开始指南
- Service Mesh 服务网格
- 企业级服务网格架构
- Service Mesh基础
- Service Mesh技术对比
- 采纳和演进
- 定制和集成
- 总结
- Istio
- 安装并试用Istio service mesh
- 配置请求的路由规则
- 安装和拓展Istio service mesh
- 集成虚拟机
- Istio中sidecar的注入规范及示例
- 如何参与Istio社区及注意事项
- Istio教程
- Istio免费学习资源汇总
- 深入理解Istio Service Mesh中的Envoy Sidecar注入与流量劫持
- 深入理解Istio Service Mesh中的Envoy Sidecar代理的路由转发
- Linkerd
- Linkerd 使用指南
- Conduit
- Condiut概览
- 安装Conduit
- Envoy
- Envoy的架构与基本术语
- Envoy作为前端代理
- Envoy mesh教程
- SOFAMesh
- SOFAMesh中的Dubbo on x-protocol
- SOFAMosn
- 使用 SOFAMosn 构建 SOFAMesh
- 大数据
- Spark standalone on Kubernetes
- 运行支持Kubernetes原生调度的Spark程序
- Serverless架构
- 理解Serverless
- FaaS-函数即服务
- OpenFaaS快速入门指南
- 边缘计算
- 人工智能