# 用kubeadm在Ubuntu上快速構建Kubernetes測試集群
本文將介紹如何在Ubuntu server 16.04版本上安裝kubeadm,并利用kubeadm快速的在Ubuntu server 版本 16.04上構建一個kubernetes的基礎的測試集群,用來做學習和測試用途,當前(2018-04-14)最新的版本是1.10.1。參考文檔包括kubernetes官方網站的[kubeadm安裝文檔](https://kubernetes.io/docs/setup/independent/install-kubeadm/)以及[利用kubeadm創建集群](https://kubernetes.io/docs/setup/independent/create-cluster-kubeadm/)這兩個文檔。
生產用途的環境,需要考慮各個組件的高可用,建議參考Kubernetes的官方的相關的安裝文檔。
## 概述
本次安裝建議至少4臺服務器或者虛擬機,每臺服務器4G內存,2個CPU核心以上,基本架構為1臺master節點,3臺slave節點。整個安裝過程將在Ubuntu服務器上安裝完kubeadm,以及安裝kubernetes的基本集群,包括canal網絡,另后臺存儲可參考本書的最佳實踐中的存儲管理內容。
本次安裝一共4個節點,節點信息如下:
| 角色 | 主機名 | 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 |
## 準備工作
- 默認方式安裝Ubuntu Server 版本 16.04
- 配置主機名映射,每個節點
```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
```
* 如果連接gcr網站不方便,無法下載鏡像,會導致安裝過程卡住,可以下載我導出的鏡像包,[我導出的鏡像網盤鏈接](https://pan.baidu.com/s/1ZJFRt_UNCQvwcu9UENr_gw),解壓縮以后是多個個tar包,使用```docker load< xxxx.tar``` 導入各個文件即可)。
## 在所有節點上安裝kubeadm
查看apt安裝源如下配置,使用阿里云的系統和kubernetes的源。
```bash
$ cat /etc/apt/sources.list
# 系統安裝源
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組件安裝源
deb https://mirrors.aliyun.com/kubernetes/apt kubernetes-xenial main
```
安裝docker,可以使用系統源的的docker.io軟件包,版本1.13.1,我的系統里是已經安裝好最新的版本了。
```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,可以不理會gpg的報錯信息。
```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.
```
強制安裝kubeadm,kubectl,kubelet軟件包。
```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安裝完以后,就可以使用它來快速安裝部署Kubernetes集群了。
## 使用kubeadm安裝Kubernetes集群
在做好了準備工作之后,下面介紹如何使用 kubeadm 安裝 Kubernetes 集群,我們將首先安裝 master 節點,然后將 slave 節點一個個加入到集群中去。
### 使用kubeadmin初始化master節點
因為使用要使用canal,因此需要在初始化時加上網絡配置參數,設置kubernetes的子網為10.244.0.0/16,注意此處不要修改為其他地址,因為這個值與后續的canal的yaml值要一致,如果修改,請一并修改。
這個下載鏡像的過程涉及翻墻,因為會從gcr的站點下載容器鏡像。。。(如果大家翻墻不方便的話,可以用我在上文準備工作中提到的導出的鏡像)。
如果有能夠連接gcr站點的網絡,那么整個安裝過程非常簡單。
```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
```
執行如下命令來配置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
```
這樣master的節點就配置好了,并且可以使用kubectl來進行各種操作了,根據上面的提示接著往下做,將slave節點加入到集群。
### Slave節點加入集群
在slave節點執行如下的命令,將slave節點加入集群,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.
```
等待節點加入完畢。加入中狀態。
```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節點查看信息如下狀態為節點加入完畢。
```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組件需要在網絡插件完成安裝以后會自動安裝完成。
## 安裝網絡插件canal
從[canal官方文檔參考](https://docs.projectcalico.org/v3.0/getting-started/kubernetes/installation/hosted/canal/),如下網址下載2個文件并且安裝,其中一個是配置canal的RBAC權限,一個是部署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的安裝狀態。
```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都已經運行正常,一個基本功能正常的測試環境就部署完畢了。
此時查看集群的節點狀態,版本為最新的版本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
```
讓master也運行pod(默認master不運行pod),這樣在測試環境做是可以的,不建議在生產環境如此操作。
```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
```
后續如果想要集群其他功能啟用,請參考后續文章。
## 參考
- [Overview of kubeadm](https://kubernetes.io/docs/reference/setup-tools/kubeadm/kubeadm/)
- 序言
- 云原生
- 云原生(Cloud Native)的定義
- CNCF - 云原生計算基金會簡介
- CNCF章程
- 云原生的設計哲學
- Play with Kubernetes
- 快速部署一個云原生本地實驗環境
- Kubernetes與云原生應用概覽
- 云原生應用之路——從Kubernetes到Cloud Native
- 云原生編程語言
- 云原生編程語言Ballerina
- 云原生編程語言Pulumi
- 云原生的未來
- Kubernetes架構
- 設計理念
- Etcd解析
- 開放接口
- CRI - Container Runtime Interface(容器運行時接口)
- CNI - Container Network Interface(容器網絡接口)
- CSI - Container Storage Interface(容器存儲接口)
- Kubernetes中的網絡
- Kubernetes中的網絡解析——以flannel為例
- Kubernetes中的網絡解析——以calico為例
- 具備API感知的網絡和安全性管理開源軟件Cilium
- Cilium架構設計與概念解析
- 資源對象與基本概念解析
- Pod狀態與生命周期管理
- Pod概覽
- 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中斷與PDB(Pod中斷預算)
- 集群資源管理
- Node
- Namespace
- Label
- Annotation
- Taint和Toleration(污點和容忍)
- 垃圾收集
- 控制器
- Deployment
- StatefulSet
- DaemonSet
- ReplicationController和ReplicaSet
- Job
- CronJob
- Horizontal Pod Autoscaling
- 自定義指標HPA
- 準入控制器(Admission Controller)
- 服務發現
- Service
- Ingress
- Traefik Ingress Controller
- 身份與權限控制
- ServiceAccount
- RBAC——基于角色的訪問控制
- NetworkPolicy
- 存儲
- Secret
- ConfigMap
- ConfigMap的熱更新
- Volume
- Persistent Volume(持久化卷)
- Storage Class
- 本地持久化存儲
- 集群擴展
- 使用自定義資源擴展API
- 使用CRD擴展Kubernetes API
- Aggregated API Server
- APIService
- Service Catalog
- 資源調度
- QoS(服務質量等級)
- 用戶指南
- 資源對象配置
- 配置Pod的liveness和readiness探針
- 配置Pod的Service Account
- Secret配置
- 管理namespace中的資源配額
- 命令使用
- Docker用戶過度到kubectl命令行指南
- kubectl命令概覽
- kubectl命令技巧大全
- 使用etcdctl訪問kubernetes數據
- 集群安全性管理
- 管理集群中的TLS
- kubelet的認證授權
- TLS bootstrap
- 創建用戶認證授權的kubeconfig文件
- IP偽裝代理
- 使用kubeconfig或token進行用戶身份認證
- Kubernetes中的用戶與身份認證授權
- Kubernetes集群安全性配置最佳實踐
- 訪問Kubernetes集群
- 訪問集群
- 使用kubeconfig文件配置跨集群認證
- 通過端口轉發訪問集群中的應用程序
- 使用service訪問群集中的應用程序
- 從外部訪問Kubernetes中的Pod
- Cabin - Kubernetes手機客戶端
- Kubernetic - Kubernetes桌面客戶端
- Kubernator - 更底層的Kubernetes UI
- 在Kubernetes中開發部署應用
- 適用于kubernetes的應用開發部署流程
- 遷移傳統應用到Kubernetes中——以Hadoop YARN為例
- 最佳實踐概覽
- 在CentOS上部署Kubernetes集群
- 創建TLS證書和秘鑰
- 創建kubeconfig文件
- 創建高可用etcd集群
- 安裝kubectl命令行工具
- 部署master節點
- 安裝flannel網絡插件
- 部署node節點
- 安裝kubedns插件
- 安裝dashboard插件
- 安裝heapster插件
- 安裝EFK插件
- 生產級的Kubernetes簡化管理工具kubeadm
- 使用kubeadm在Ubuntu Server 16.04上快速構建測試集群
- 服務發現與負載均衡
- 安裝Traefik ingress
- 分布式負載測試
- 網絡和集群性能測試
- 邊緣節點配置
- 安裝Nginx ingress
- 安裝配置DNS
- 安裝配置Kube-dns
- 安裝配置CoreDNS
- 運維管理
- Master節點高可用
- 服務滾動升級
- 應用日志收集
- 配置最佳實踐
- 集群及應用監控
- 數據持久化問題
- 管理容器的計算資源
- 集群聯邦
- 存儲管理
- GlusterFS
- 使用GlusterFS做持久化存儲
- 使用Heketi作為Kubernetes的持久存儲GlusterFS的external provisioner
- 在OpenShift中使用GlusterFS做持久化存儲
- GlusterD-2.0
- Ceph
- 用Helm托管安裝Ceph集群并提供后端存儲
- 使用Ceph做持久化存儲
- 使用rbd-provisioner提供rbd持久化存儲
- OpenEBS
- 使用OpenEBS做持久化存儲
- Rook
- NFS
- 利用NFS動態提供Kubernetes后端存儲卷
- 集群與應用監控
- Heapster
- 使用Heapster獲取集群和對象的metric數據
- Prometheus
- 使用Prometheus監控kubernetes集群
- Prometheus查詢語言PromQL使用說明
- 使用Vistio監控Istio服務網格中的流量
- 分布式跟蹤
- OpenTracing
- 服務編排管理
- 使用Helm管理Kubernetes應用
- 構建私有Chart倉庫
- 持續集成與發布
- 使用Jenkins進行持續集成與發布
- 使用Drone進行持續集成與發布
- 更新與升級
- 手動升級Kubernetes集群
- 升級dashboard
- 領域應用概覽
- 微服務架構
- 微服務中的服務發現
- 使用Java構建微服務并發布到Kubernetes平臺
- Spring Boot快速開始指南
- Service Mesh 服務網格
- 企業級服務網格架構
- Service Mesh基礎
- Service Mesh技術對比
- 采納和演進
- 定制和集成
- 總結
- Istio
- 安裝并試用Istio service mesh
- 配置請求的路由規則
- 安裝和拓展Istio service mesh
- 集成虛擬機
- Istio中sidecar的注入規范及示例
- 如何參與Istio社區及注意事項
- Istio教程
- Istio免費學習資源匯總
- 深入理解Istio Service Mesh中的Envoy Sidecar注入與流量劫持
- 深入理解Istio Service Mesh中的Envoy Sidecar代理的路由轉發
- Linkerd
- Linkerd 使用指南
- Conduit
- Condiut概覽
- 安裝Conduit
- Envoy
- Envoy的架構與基本術語
- Envoy作為前端代理
- Envoy mesh教程
- SOFAMesh
- SOFAMesh中的Dubbo on x-protocol
- SOFAMosn
- 使用 SOFAMosn 構建 SOFAMesh
- 大數據
- Spark standalone on Kubernetes
- 運行支持Kubernetes原生調度的Spark程序
- Serverless架構
- 理解Serverless
- FaaS-函數即服務
- OpenFaaS快速入門指南
- 邊緣計算
- 人工智能