Getting Started with Tanzu Community Edition on Docker

Tanzu Community Edition is a fully-featured, easy to manage, Kubernetes platform for learners and users.

GitHub Repository

Description

There are two types of clusters

Managed Clusters
Unmanaged Clusters
Docker Extensions
- Documents

Basic for Kubernetes Cluster

Nodes
Control Plane

Nodes

Kubernetes Cluster consists of a set of worker machines that run containerized worklads. The worker nodes host the Pods that are the component of the application workload.

Control plane

Control plane manages the worker nodes and the Pods in the cluster. IT will be often spread across multiple machines.

Managed Cluster

Managed clusters is a deployment model that features 1 management cluster and N workload cluster(s), which runs Cluster-API

In this procedure, you will do the following:

Installing Tanzu CLI
Creating a Management Cluster
Creating a Workload Cluster

Unmanaged Cluster

By default, Unmanaged Cluster runs locally via kind with Tanzu components installed atop. An unmanaged cluster offers a single node, local workstation cluster suitable for a development/test environment.

Unmaged Cluster Deployment

Demo

Features

feature:1
feature:2

Requirement

Docker Desktop for Mac
- RAM: 6 GB
- CPU: 2

Kubectl

Usage

Installation

0. Clean up for Docker

docker kill (docker ps -aq)
docker system prune -a --volumes -f

1. Download Tanzu CLI

Download the latest module from GitHub

Install Tanzu CLI

curl -H "Accept: application/vnd.github.v3.raw" \
    -L https://api.github.com/repos/vmware-tanzu/community-edition/contents/hack/get-tce-release.sh | \
    bash -s v0.11.0 darwin

Unpack the release

tar xzvf ~/<DOWNLOAD-DIR>/tce-linux-amd64-v0.11.0.tar.gz

Run the install script

cd tce-darwin-amd64-v0.11.0
./install.sh

====================================
 Installing Tanzu Community Edition
====================================

Installing tanzu cli to /usr/local/bin/tanzu
Password:

Confirmation

$ tanzu version

version: v0.11.2
buildDate: 2022-03-24
sha: 6431d1d

Tanzu CLI

$ tanzu -h

Tanzu CLI

Usage:
  tanzu [command]

Available command groups:

  Admin
    builder                 Build Tanzu components

  Run
    cluster                 Kubernetes cluster operations
    conformance             Run Sonobuoy conformance tests against clusters
    kubernetes-release      Kubernetes release operations
    management-cluster      Kubernetes management cluster operations
    package                 Tanzu package management
    standalone-cluster      Create clusters without a dedicated management cluster

  System
    completion              Output shell completion code
    config                  Configuration for the CLI
    init                    Initialize the CLI
    login                   Login to the platform
    plugin                  Manage CLI plugins
    update                  Update the CLI
    version                 Version information

2. Prepare for Installation

Retrieve the Load Balancer (HA Proxy) from Docker Hub in advance to prevent from Docker Hub Rate limiting

Download the latest tag

kindest/haproxy

$ docker pull kindest/haproxy:v20211115-b0f54c86

3. Create Management Cluster

set -x MGMT_CLUSTER_NAME mgmt
tanzu management-cluster create -i docker --name $MGMT_CLUSTER_NAME -v 10 --plan dev --ceip-participation=false

Confirmation

$ tanzu management-cluster get

  NAME  NAMESPACE   STATUS   CONTROLPLANE  WORKERS  KUBERNETES        ROLES
  mgmt  tkg-system  running  1/1           1/1      v1.21.2+vmware.1  management


Details:

NAME                                                     READY  SEVERITY  REASON  SINCE  MESSAGE
/mgmt                                                    True                     20m
├─ClusterInfrastructure - DockerCluster/mgmt             True                     20m
├─ControlPlane - KubeadmControlPlane/mgmt-control-plane  True                     20m
│ └─Machine/mgmt-control-plane-mglw6                     True                     20m
└─Workers
  └─MachineDeployment/mgmt-md-0
    └─Machine/mgmt-md-0-595ff89958-8cskm                 True                     20m


Providers:

  NAMESPACE                          NAME                   TYPE                    PROVIDERNAME  VERSION  WATCHNAMESPACE
  capd-system                        infrastructure-docker  InfrastructureProvider  docker        v0.3.23
  capi-kubeadm-bootstrap-system      bootstrap-kubeadm      BootstrapProvider       kubeadm       v0.3.23
  capi-kubeadm-control-plane-system  control-plane-kubeadm  ControlPlaneProvider    kubeadm       v0.3.23
  capi-system                        cluster-api            CoreProvider            cluster-api   v0.3.23

Troubleshooting

Conflicting the same management cluster I've deleted

rm -fr  ~/.config/tanzu/

4. Configure Management Cluster

Configure kubeconfig for Management Cluster

$ tanzu management-cluster kubeconfig get $MGMT_CLUSTER_NAME --admin

Set kubectl context to Management Cluster

$ kubectl config use-context $MGMT_CLUSTER_NAME-admin@$MGMT_CLUSTER_NAME

Node

$ kubectl get nodes -o wide

NAME                         STATUS   ROLES                  AGE   VERSION                               INTERNAL-IP   EXTERNAL-IP   OS-IMAGE           KERNEL-VERSION     CONTAINER-RUNTIME
mgmt-control-plane-mglw6     Ready    control-plane,master   32m   v1.21.2+vmware.1-360497810732255795   172.18.0.4    <none>        Ubuntu 20.04 LTS   5.10.47-linuxkit   containerd://1.3.3-14-g449e9269
mgmt-md-0-595ff89958-8cskm   Ready    <none>                 31m   v1.21.2+vmware.1-360497810732255795   172.18.0.5    <none>        Ubuntu 20.04 LTS   5.10.47-linuxkit   containerd://1.3.3-14-g449e9269

Default Pods

$ kubectl get pods -A

NAMESPACE                           NAME                                                             READY   STATUS    RESTARTS   AGE
capd-system                         capd-controller-manager-685f4d6876-l9fxw                         2/2     Running   0          26m
capi-kubeadm-bootstrap-system       capi-kubeadm-bootstrap-controller-manager-84c75dd587-hbcxb       2/2     Running   2          27m
capi-kubeadm-control-plane-system   capi-kubeadm-control-plane-controller-manager-756f646c68-8svts   2/2     Running   1          26m
capi-system                         capi-controller-manager-5468bf8995-nfxf5                         2/2     Running   2          28m
capi-webhook-system                 capi-controller-manager-b6f878dd8-5nqsz                          2/2     Running   0          28m
capi-webhook-system                 capi-kubeadm-bootstrap-controller-manager-67cf557cc6-v5vzl       2/2     Running   0          27m
capi-webhook-system                 capi-kubeadm-control-plane-controller-manager-798bb98b65-lgq6g   2/2     Running   0          27m
cert-manager                        cert-manager-cainjector-59d5cd55f5-hbb4q                         1/1     Running   1          31m
cert-manager                        cert-manager-fcbbdd748-xcg8d                                     1/1     Running   0          31m
cert-manager                        cert-manager-webhook-5cd7cf5fbb-7bhtx                            1/1     Running   0          31m
kube-system                         antrea-agent-5bdp2                                               2/2     Running   0          21m
kube-system                         antrea-agent-jkhnh                                               2/2     Running   2          21m
kube-system                         antrea-controller-7466cd958-76jbj                                1/1     Running   0          21m
kube-system                         coredns-8dcb5c56b-h5vfg                                          1/1     Running   0          33m
kube-system                         coredns-8dcb5c56b-nc5l8                                          1/1     Running   0          33m
kube-system                         etcd-mgmt-control-plane-mglw6                                    1/1     Running   0          33m
kube-system                         kube-apiserver-mgmt-control-plane-mglw6                          1/1     Running   0          33m
kube-system                         kube-controller-manager-mgmt-control-plane-mglw6                 1/1     Running   0          33m
kube-system                         kube-proxy-gs4tg                                                 1/1     Running   0          33m
kube-system                         kube-proxy-szkg6                                                 1/1     Running   0          32m
kube-system                         kube-scheduler-mgmt-control-plane-mglw6                          1/1     Running   0          33m
kube-system                         metrics-server-9fd8f855-5k6sd                                    1/1     Running   3          22m
tkg-system                          kapp-controller-764fc6c69f-gskw2                                 1/1     Running   0          33m
tkg-system                          tanzu-addons-controller-manager-86c7ff746b-8wp2x                 1/1     Running   0          22m
tkg-system                          tanzu-capabilities-controller-manager-69f58566d9-scwp9           1/1     Running   0          33m
tkr-system                          tkr-controller-manager-cc88b6968-6xlwz                           1/1     Running   2          33m

5. Create Workload Cluster

$ set -x WORKLOAD_CLUSTER_NAME workload
$ tanzu cluster create $WORKLOAD_CLUSTER_NAME --plan dev

Confirmation

$ tanzu cluster list --include-management-cluster

  NAME      NAMESPACE   STATUS   CONTROLPLANE  WORKERS  KUBERNETES        ROLES       PLAN
  lancelot  default     running  1/1           1/1      v1.21.2+vmware.1  <none>      dev
  arthur    tkg-system  running  1/1           1/1      v1.21.2+vmware.1  management  dev

6. Configure Workload Cluster

Configure kubeconfig for Workload Cluster

$ tanzu cluster kubeconfig get $WORKLOAD_CLUSTER_NAME --admin

Set kubectl context to Workload Cluster

$ kubectl config use-context $WORKLOAD_CLUSTER_NAME-admin@$WORKLOAD_CLUSTER_NAME

Node

$ kubectl get node -o wide

NAME                             STATUS   ROLES                  AGE   VERSION                               INTERNAL-IP   EXTERNAL-IP   OS-IMAGE           KERNEL-VERSION     CONTAINER-RUNTIME
lancelot-control-plane-dck47     Ready    control-plane,master   15m   v1.21.2+vmware.1-360497810732255795   172.18.0.6    <none>        Ubuntu 20.04 LTS   5.10.47-linuxkit   containerd://1.3.3-14-g449e9269
lancelot-md-0-65446f8c69-zjt29   Ready    <none>                 15m   v1.21.2+vmware.1-360497810732255795   172.18.0.7    <none>        Ubuntu 20.04 LTS   5.10.47-linuxkit   containerd://1.3.3-14-g449e9269

Default Pods

$ kubectl get pods -A

NAMESPACE     NAME                                                     READY   STATUS    RESTARTS   AGE
kube-system   antrea-agent-cxhlb                                       2/2     Running   0          13m
kube-system   antrea-agent-shlwr                                       2/2     Running   0          13m
kube-system   antrea-controller-5f444f5bd6-n2r26                       1/1     Running   0          13m
kube-system   coredns-8dcb5c56b-6sxnl                                  1/1     Running   0          17m
kube-system   coredns-8dcb5c56b-trq4v                                  1/1     Running   0          17m
kube-system   etcd-lancelot-control-plane-dck47                        1/1     Running   0          17m
kube-system   kube-apiserver-lancelot-control-plane-dck47              1/1     Running   0          17m
kube-system   kube-controller-manager-lancelot-control-plane-dck47     1/1     Running   0          17m
kube-system   kube-proxy-4lrvb                                         1/1     Running   0          17m
kube-system   kube-proxy-qpbsp                                         1/1     Running   0          17m
kube-system   kube-scheduler-lancelot-control-plane-dck47              1/1     Running   0          17m
kube-system   metrics-server-5c78796cf6-sx2m2                          1/1     Running   0          13m
tkg-system    kapp-controller-844d94b44d-tsh7s                         1/1     Running   0          17m
tkg-system    tanzu-capabilities-controller-manager-69f58566d9-gk24r   1/1     Running   0          17m

7. Confirm Docker Containers

2 Clusters: Management Cluster and Workload Cluster
each cluster has
- Control Plane
- Worker Node
- HA Proxy as a Loadbalancer for the control plane

$ docker ps

CONTAINER ID   IMAGE                                                             COMMAND                  CREATED             STATUS             PORTS                                  NAMES
73c2f2622d89   projects-stg.registry.vmware.com/tkg/kind/node:v1.21.2_vmware.1   "/usr/local/bin/entr…"   26 minutes ago      Up 26 minutes                                             lancelot-md-0-65446f8c69-zjt29
60624257d87b   projects-stg.registry.vmware.com/tkg/kind/node:v1.21.2_vmware.1   "/usr/local/bin/entr…"   27 minutes ago      Up 27 minutes      46347/tcp, 127.0.0.1:46347->6443/tcp   lancelot-control-plane-dck47
d947cbe97fb7   kindest/haproxy:v20210715-a6da3463                                "haproxy -sf 7 -W -d…"   27 minutes ago      Up 27 minutes      44073/tcp, 0.0.0.0:44073->6443/tcp     lancelot-lb
dd9e31b34ef0   projects-stg.registry.vmware.com/tkg/kind/node:v1.21.2_vmware.1   "/usr/local/bin/entr…"   About an hour ago   Up About an hour                                          arthur-md-0-74b864579-d976m
845eef7ae583   projects-stg.registry.vmware.com/tkg/kind/node:v1.21.2_vmware.1   "/usr/local/bin/entr…"   About an hour ago   Up About an hour   41765/tcp, 127.0.0.1:41765->6443/tcp   arthur-control-plane-gt88x
d390fad9250b   kindest/haproxy:v20210715-a6da3463                                "haproxy -sf 7 -W -d…"   About an hour ago   Up About an hour   41941/tcp, 0.0.0.0:41941->6443/tcp     arthur-lb

8. MetalLB

MetalLB is a load-balancer implementation for bare metal Kubernetes clusters, using standard routing protocols.

MetalLB

The necessary manifests for MetalLB

$ kubectl apply -f https://raw.githubusercontent.com/metallb/metallb/v0.11.0/manifests/namespace.yaml
$ kubectl create secret generic -n metallb-system memberlist --from-literal=secretkey="(openssl rand -base64 128)"
$ kubectl apply -f https://raw.githubusercontent.com/metallb/metallb/v0.11.0/manifests/metallb.yaml

ConfigMap for MetalLB

IP Range should be 172.18.0.0/16

$ string trim '
apiVersion: v1
kind: ConfigMap
metadata:
  namespace: metallb-system
  name: config
data:
  config: |
    address-pools:
    - name: default
      protocol: layer2
      addresses:
      - 172.18.0.150-172.18.0.200
' > metallb-config.yaml

$ kubectl apply -f metallb-config.yaml

9. Application Deployment

Deploy App and Loadbalancer

$ kubectl create deployment demo-app --image=shinyay/demo:0.0.1-SNAPSHOT --dry-run=client -o=yaml > deployment.yml
$ kubectl create service loadbalancer demo-app --tcp=8080:8080 --dry-run=client -o=yaml > loadbalancer.yml

$ kubectl apply -f deployment.yml
$ kubectl apply -f loadbalancer.yml

Confirm the Deployment

$ kubectl get pod,svc -l app=demo-app

NAME                            READY   STATUS    RESTARTS   AGE
pod/demo-app-68f6d58459-7zjkk   1/1     Running   0          6m

NAME               TYPE           CLUSTER-IP     EXTERNAL-IP    PORT(S)        AGE
service/demo-app   LoadBalancer   100.66.24.88   172.18.0.150   80:30719/TCP   6m

Access the Application

Configure Port-Foward

$ kubectl port-forward service/demo-app 8080:8080

Access the App

$ curl -X GET http://localhost:8080/books

Optional Tutorial

Scale Cluster

tanzu cluster scale $WORKLOAD_CLUSTER_NAME -w 3

$ tanzu cluster get $WORKLOAD_CLUSTER_NAME --show-group-memebers

  NAME      NAMESPACE  STATUS    CONTROLPLANE  WORKERS  KUBERNETES        ROLES
  workload  default    updating  1/1           1/3      v1.21.2+vmware.1  <none>
ℹ

Details:

NAME                                                         READY  SEVERITY  REASON  SINCE  MESSAGE
/workload                                                    True                     3h59m
├─ClusterInfrastructure - DockerCluster/workload             True                     4h
├─ControlPlane - KubeadmControlPlane/workload-control-plane  True                     3h59m
│ └─Machine/workload-control-plane-hfx84                     True                     3h59m
└─Workers
  └─MachineDeployment/workload-md-0
    ├─Machine/workload-md-0-7fbf46cf4b-mr7l2                 True                     26s
    ├─Machine/workload-md-0-7fbf46cf4b-qszp5                 True                     25s
    └─Machine/workload-md-0-7fbf46cf4b-wdjsg                 True                     3h58m

Install Package

List available default packages

$ tanzu package available list -A

  NAME                                                DISPLAY-NAME                       SHORT-DESCRIPTION                                                                                                                                                                                       NAMESPACE
  addons-manager.tanzu.vmware.com                     tanzu-addons-manager               This package provides TKG addons lifecycle management capabilities.                                                                                                                                     tkg-system
  ako-operator.tanzu.vmware.com                       ako-operator                       NSX Advanced Load Balancer using ako-operator                                                                                                                                                           tkg-system
  antrea.tanzu.vmware.com                             antrea                             networking and network security solution for containers                                                                                                                                                 tkg-system
  calico.tanzu.vmware.com                             calico                             Networking and network security solution for containers.                                                                                                                                                tkg-system
  kapp-controller.tanzu.vmware.com                    kapp-controller                    Kubernetes package manager                                                                                                                                                                              tkg-system
  load-balancer-and-ingress-service.tanzu.vmware.com  load-balancer-and-ingress-service  Provides L4+L7 load balancing for TKG clusters running on vSphere                                                                                                                                       tkg-system
  metrics-server.tanzu.vmware.com                     metrics-server                     Metrics Server is a scalable, efficient source of container resource metrics for Kubernetes built-in autoscaling pipelines.                                                                             tkg-system
  pinniped.tanzu.vmware.com                           pinniped                           Pinniped provides identity services to Kubernetes.                                                                                                                                                      tkg-system
  vsphere-cpi.tanzu.vmware.com                        vsphere-cpi                        The Cluster API brings declarative, Kubernetes-style APIs to cluster creation, configuration and management. Cluster API Provider for vSphere is a concrete implementation of Cluster API for vSphere.  tkg-system
  vsphere-csi.tanzu.vmware.com                        vsphere-csi                        vSphere CSI provider                                                                                                                                                                                    tkg-system

List installed packages

$ tanzu package installed list -A

  NAME            PACKAGE-NAME                     PACKAGE-VERSION  STATUS               NAMESPACE
  antrea          antrea.tanzu.vmware.com                           Reconcile succeeded  tkg-system
  metrics-server  metrics-server.tanzu.vmware.com                   Reconcile succeeded  tkg-system

Package Repositories

Add Package Repository for Tanzu Community Edition

$ tanzu package repository add tce-repo \
  --url projects.registry.vmware.com/tce/main:0.9.1 \
  --namespace tanzu-package-repo-global

Confirm the Package Repository

$ tanzu package repository list -A

Local Path Storage

Local Path Storage - v0.0.20 ¶

Value	Required/Optional	Description
namespace	Required	The namespace to deploy the local-path-storage pods

Prepare for installation

$ kubectl create ns tce-package

Install Local Path Storage

$ tanzu package install local-path-storage --package-name local-path-storage.community.tanzu.vmware.com -v 0.0.20 -n tce-package

List Packages

$ tanzu package installed list -A

  NAME                PACKAGE-NAME                                   PACKAGE-VERSION  STATUS               NAMESPACE
  local-path-storage  local-path-storage.community.tanzu.vmware.com  0.0.20           Reconcile succeeded  tce-package
  antrea              antrea.tanzu.vmware.com                                         Reconcile succeeded  tkg-system
  metrics-server      metrics-server.tanzu.vmware.com                                 Reconcile succeeded  tkg-system

List Pods

$ kubectl get pods -A

NAMESPACE                  NAME                                                                READY   STATUS    RESTARTS   AGE
kube-system                antrea-agent-4sfnr                                                  2/2     Running   0          5h43m
kube-system                antrea-agent-lzzjc                                                  2/2     Running   0          5h43m
kube-system                antrea-controller-5dc4698767-2ftnt                                  1/1     Running   0          5h43m
kube-system                coredns-8dcb5c56b-mdcs5                                             1/1     Running   0          5h47m
kube-system                coredns-8dcb5c56b-w2d9f                                             1/1     Running   0          5h47m
kube-system                etcd-yanashin-work-cluster-control-plane-slksz                      1/1     Running   0          5h47m
kube-system                kube-apiserver-yanashin-work-cluster-control-plane-slksz            1/1     Running   0          5h47m
kube-system                kube-controller-manager-yanashin-work-cluster-control-plane-slksz   1/1     Running   1          5h47m
kube-system                kube-proxy-k7gdk                                                    1/1     Running   0          5h46m
kube-system                kube-proxy-p48m7                                                    1/1     Running   0          5h47m
kube-system                kube-scheduler-yanashin-work-cluster-control-plane-slksz            1/1     Running   1          5h47m
kube-system                metrics-server-5895b667b4-mrjm2                                     1/1     Running   0          5h43m
tanzu-local-path-storage   local-path-provisioner-7dcb6d6b98-hv8kl                             1/1     Running   0          3m11s
tkg-system                 kapp-controller-866cb85b86-v28dk                                    1/1     Running   0          5h47m
tkg-system                 tanzu-capabilities-controller-manager-69f58566d9-r9t4q              1/1     Running   1          5h47m

Confirm Resource

$ kubectl get storageclass  

NAME                   PROVISIONER             RECLAIMPOLICY   VOLUMEBINDINGMODE      ALLOWVOLUMEEXPANSION   AGE
local-path (default)   rancher.io/local-path   Delete          WaitForFirstConsumer   false                  4m21s

Clean Up Clusters

Delete Workload Cluster

$ tanzu cluster delete $WORKLOAD_CLUSTER_NAME -y

$ kubectl config delete-cluster $WORKLOAD_CLUSTER_NAME
$ kubectl config delete-context $WORKLOAD_CLUSTER_NAME-admin@$WORKLOAD_CLUSTER_NAME

Delete Management Cluster

$ tanzu management-cluster delete $MGMT_CLUSTER_NAME -y

Delete Volumes

$ docker system prune -a --volumes -f

Sample Application

Initialize a New Project

Parameter	Contents
dependencies	webflux,data-r2dbc,h2
build	gradle
language	kotlin
java-version	11

$ spring --dependencies=webflux,data-r2dbc,h2 --build=gradle --language=kotlin --java-version=11

Database Schema and Test Data

Schema

DROP TABLE IF EXISTS book;
CREATE TABLE book (
  id INTEGER NOT NULL AUTO_INCREMENT PRIMARY KEY,
  name VARCHAR (255) NOT NULL
);

Data

INSERT INTO book VALUES (1, 'Spring in Action')
INSERT INTO book VALUES (2, 'Spring in Practice')
INSERT INTO book VALUES (3, 'Spring Boot in Action')
INSERT INTO book VALUES (4, 'Spring Boot in Practice')

Entity

Data Class
- Book elements
  - ID element: id as Long
  - name as String
- Second Constructor
  - It is used for auto incremented id

data class Book(
    @Id
    val id: Long,
    val name: String
) {
    constructor(name: String) : this(0, name)
}

Repository Interface

ReactiveCrudRepository

@Repository
interface BookRepository : ReactiveCrudRepository<Book, Long>

Controller as Functional Endpoint

Two ways of Flux controller

Annotated Controller
Functional Endpoint
- Handler and Router
Handler

fun findAllHandler(request: ServerRequest): Mono<ServerResponse> {
    return ServerResponse.ok().body(repository.findAll(), Book::class.java)
}

Router

@Bean
fun router(): RouterFunction<ServerResponse> {
    return route()
        .GET("/books", this::findAllHandler)
        .build()
}

Application Properties

Property	Value
spring.r2dbc.url	r2dbc:h2:mem:///test?options=DB_CLOSE_DELAY=-1;DB_CLOSE_ON_EXIT=FALSE;DATABASE_TO_UPPER=FALSE;mode=mysql
spring.r2dbc.username	spring
spring.r2dbc.password
spring.sql.init.mode	embedded
spring.sql.init.encoding	UTF-8
spring.sql.init.schema-locations	classpath:db/schema.sql
spring.sql.init.data-locations	classpath:db/data.sql

Boot Run

Build

$ ./gradlew clean bootRun

Access

$ curl -X GET http://localhost:8080/books

$ curl -X POST http://localhost:8080/books -H 'Content-type:application/json' -d '{"name":"Sample"}'

Containerization

Build a Container image

$ ./gradlew bootBuildImage --imageName=shinyay/demo:0.0.1-SNAPSHOT

Push to Docker Hub

$ docker push shinyay/demo:0.0.1-SNAPSHOT

References

Licence

Released under the MIT license

Author

shinyay

twitter: https://twitter.com/yanashin18618

shinyay / tanzu-ce-on-docker Goto Github PK

tanzu-ce-on-docker's Introduction

Getting Started with Tanzu Community Edition on Docker

Description

Basic for Kubernetes Cluster

Nodes

Control plane

Managed Cluster

Unmanaged Cluster

Demo

Features

Requirement

Usage

Installation

0. Clean up for Docker

1. Download Tanzu CLI

Tanzu CLI

2. Prepare for Installation

3. Create Management Cluster

Troubleshooting

4. Configure Management Cluster

5. Create Workload Cluster

6. Configure Workload Cluster

7. Confirm Docker Containers

8. MetalLB

9. Application Deployment

Deploy App and Loadbalancer

Confirm the Deployment

Access the Application

Scale Cluster

Install Package

Local Path Storage

Clean Up Clusters

Delete Workload Cluster

Delete Management Cluster

Delete Volumes

Sample Application

Initialize a New Project

Database Schema and Test Data

Entity

Repository Interface

Controller as Functional Endpoint

Application Properties

Boot Run

Containerization

References

Licence

Author

tanzu-ce-on-docker's People

Contributors

Watchers

Forkers

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