Multi-Cluster com Karmada [Lab Session]

Paulo Ponciano - May 15 - - Dev Community

Image description

What is Karmada?

Karmada (Kubernetes Armada) is a Kubernetes management system that enables you to run your cloud-native applications across multiple Kubernetes clusters and clouds, with no changes to your applications. By speaking Kubernetes-native APIs and providing advanced scheduling capabilities, Karmada enables truly open, multi-cloud Kubernetes.

Karmada aims to provide turnkey automation for multi-cluster application management in multi-cloud and hybrid cloud scenarios, with key features such as centralized multi-cloud management, high availability, failure recovery, and traffic scheduling.

Architecture
Image description
Source: https://karmada.io

Arquitetura do Lab

Image description

Deploy da infra

  • Cluster 1 ou pegasus: 
git clone https://github.com/paulofponciano/EKS-Istio-Karpenter-ArgoCD.git
Enter fullscreen mode Exit fullscreen mode

[!NOTE]
Altere os valores em variables.tfvars se for necessário.
No arquivo nlb.tf, estamos informando um certificado do ACM. Altere para o seu certificado ou remova comentando as linhas 38, 39, 40 e descomentando a linha 37.

Com certificado:

resource "aws_lb_listener" "ingress_443" {
  load_balancer_arn = aws_lb.istio_ingress.arn
  port              = "443"
  #protocol          = "TCP"
  protocol        = "TLS"
  certificate_arn = "arn:aws:acm:us-east-2:ACCOUNTID:certificate/bfbfe3ce-d347-4c42-8986-f45e95e04ca1"
  alpn_policy     = "HTTP2Preferred"

  default_action {
    type             = "forward"
    target_group_arn = aws_lb_target_group.https.arn
  }
}
Enter fullscreen mode Exit fullscreen mode

Sem certificado:

resource "aws_lb_listener" "ingress_443" {
  load_balancer_arn = aws_lb.istio_ingress.arn
  port              = "443"
  protocol          = "TCP"
  # protocol        = "TLS"
  # certificate_arn = "arn:aws:acm:us-east-2:ACCOUNTID:certificate/bfbfe3ce-d347-4c42-8986-f45e95e04ca1"
  # alpn_policy     = "HTTP2Preferred"

  default_action {
    type             = "forward"
    target_group_arn = aws_lb_target_group.https.arn
  }
}
Enter fullscreen mode Exit fullscreen mode 
tofu init
Enter fullscreen mode Exit fullscreen mode 
tofu plan --var-file variables.tfvars
Enter fullscreen mode Exit fullscreen mode 
tofu apply --var-file variables.tfvars
Enter fullscreen mode Exit fullscreen mode
  • Cluster 2 ou pegasus-2: 
git clone https://github.com/paulofponciano/EKS-Istio-Karpenter.git
Enter fullscreen mode Exit fullscreen mode

[!NOTE]
Altere os valores em variables.tfvars se for necessário.

tofu init
Enter fullscreen mode Exit fullscreen mode 
tofu plan --var-file variables.tfvars
Enter fullscreen mode Exit fullscreen mode 
tofu apply --var-file variables.tfvars
Enter fullscreen mode Exit fullscreen mode

Deploy do karmada 

git clone https://github.com/paulofponciano/karmada.git
Enter fullscreen mode Exit fullscreen mode 
cd karmada
Enter fullscreen mode Exit fullscreen mode

Entrando no contexto do cluster pegasus:

aws eks update-kubeconfig --region us-east-2 --name pegasus
Enter fullscreen mode Exit fullscreen mode

Image description

[!NOTE]
Os comandos a seguir serão executados no cluster pegasus (Cluster 1), onde temos o Argo rodando.

helm repo add karmada-charts https://raw.githubusercontent.com/karmada-io/karmada/master/charts
Enter fullscreen mode Exit fullscreen mode 
helm repo update
Enter fullscreen mode Exit fullscreen mode 
helm --namespace karmada-system upgrade -i karmada karmada-charts/karmada --create-namespace
Enter fullscreen mode Exit fullscreen mode

Image description

Verificando o deployment:

kubectl get pods -n karmada-system
Enter fullscreen mode Exit fullscreen mode

Image description

Agora já temos o controlplane do karmada rodando no cluster pegasus.

Com o deploy, é gerado um secret com o kubeconfig necessário para conectarmos no controlplane do karmada:

kubectl get secrets -n karmada-system | grep karmada-kubeconfig
Enter fullscreen mode Exit fullscreen mode

Image description

kubectl get secret -n karmada-system karmada-kubeconfig -o jsonpath='{.data.kubeconfig}' | base64 --decode
Enter fullscreen mode Exit fullscreen mode

Criando IRSA (Iam Role for Service Account)

[!NOTE]
Altere os valores de ACCOUNTID na iam-policy-irsa-karmada.json e no comando eksctl abaixo.

Isso refletirá em uma Service Account dentro do cluster pegasus, usaremos ela montando em um pod do ubuntu como ponto de acesso temporário ao controlplane do karmada.

aws iam create-policy --policy-name ubuntu-admin-karmada \
  --policy-document file://iam-policy-irsa-karmada.json
Enter fullscreen mode Exit fullscreen mode 
eksctl create iamserviceaccount --name ubuntu-admin-karmada \
  --namespace karmada-system \
  --cluster pegasus \
  --attach-policy-arn arn:aws:iam::ACCOUNTID:policy/ubuntu-admin-karmada \
  --region us-east-2 \
  --profile default \
  --approve
Enter fullscreen mode Exit fullscreen mode

Image description

No lado AWS, isso reflete em uma IAM role que podemos adicionar nos dois clusters EKS.

  • EKS IAM - Console (pegasus-2):

Image description

Image description

Faça o mesmo para o cluster pegasus, onde o karmada controlplane está rodando.

Acessando Karmada API-Server

Vamos subir agora aquele pod do ubuntu-admin no cluster pegasus. No manifesto já está tudo definido para utilizar a Service Account que criamos mais acima.

kubectl apply -f https://raw.githubusercontent.com/paulofponciano/karmada/main/ubuntu-admin-karmada.yaml
Enter fullscreen mode Exit fullscreen mode 
kubectl get pods -n karmada-system | grep ubuntu
Enter fullscreen mode Exit fullscreen mode

Image description

Nesse momento, vamos entrar no container do ubuntu, que está rodando no cluster pegasus:

kubectl exec -it ubuntu-admin-karmada -n karmada-system -- /bin/bash
Enter fullscreen mode Exit fullscreen mode
  • Instalando o kubectl karmada: 
curl -s https://raw.githubusercontent.com/karmada-io/karmada/master/hack/install-cli.sh | bash -s kubectl-karmada
Enter fullscreen mode Exit fullscreen mode

Image description

  • Entrando no contexto do cluster pegasus-2: 
aws eks update-kubeconfig --region us-west-2 --name pegasus-2 --kubeconfig $HOME/.kube/pegasus-2.config
Enter fullscreen mode Exit fullscreen mode 
kubectl get nodes --kubeconfig $HOME/.kube/pegasus-2.config
Enter fullscreen mode Exit fullscreen mode

Image description

  • Vamos fazer o mesmo para o cluster pegasus: 
aws eks update-kubeconfig --region us-east-2 --name pegasus --kubeconfig $HOME/.kube/pegasus.config
Enter fullscreen mode Exit fullscreen mode 
kubectl get nodes --kubeconfig $HOME/.kube/pegasus.config
Enter fullscreen mode Exit fullscreen mode

Image description

  • Checando acesso ao karmada apiserver: 
kubectl get all -A --kubeconfig /etc/karmada-kubeconfig/kubeconfig
Enter fullscreen mode Exit fullscreen mode

Image description

  • Join do pegasus-2 no karmada: 
kubectl karmada --kubeconfig /etc/karmada-kubeconfig/kubeconfig join pegasus-2 --cluster-kubeconfig=$HOME/.kube/pegasus-2.config
Enter fullscreen mode Exit fullscreen mode

Image description

  • Join do pegasus no karmada: 
kubectl karmada --kubeconfig /etc/karmada-kubeconfig/kubeconfig join pegasus --cluster-kubeconfig=$HOME/.kube/pegasus.config
Enter fullscreen mode Exit fullscreen mode

Image description

  • Checando status dos clusters adicionados: 
kubectl --kubeconfig /etc/karmada-kubeconfig/kubeconfig get clusters
Enter fullscreen mode Exit fullscreen mode

Image description

  • Instalando CLI do ArgoCD: 
curl -sSL -o argocd-linux-amd64 https://github.com/argoproj/argo-cd/releases/latest/download/argocd-linux-amd64
install -m 555 argocd-linux-amd64 /usr/local/bin/argocd
rm argocd-linux-amd64
Enter fullscreen mode Exit fullscreen mode
  • Recuperando o secret / password do Argo server e fazendo login: 
kubectl -n argocd get secret argocd-initial-admin-secret -o jsonpath="{.data.password}" | base64 -d; echo
Enter fullscreen mode Exit fullscreen mode 
argocd login argocd-server.argocd.svc.cluster.local:80 --username admin
Enter fullscreen mode Exit fullscreen mode

Image description

  • Adicionando o karmada como cluster no ArgoCD: 
argocd cluster add karmada-apiserver --kubeconfig /etc/karmada-kubeconfig/kubeconfig --name karmada-controlplane
Enter fullscreen mode Exit fullscreen mode

Image description

Deploy com ArgoCD

Se acessarmos a UI do Argo, que está rodando no cluster pegasus, veremos que o karmada está registrado como um cluster onde é possível o Argo fazer deploy:

Image description

Podemos agora aplicar um manifesto que irá definir uma nova fonte para o Argo buscar por deploys. Nesse caso, essa fonte é um repositório no GitHub:

kubectl apply -f karmada-argo-app.yaml
Enter fullscreen mode Exit fullscreen mode

Como já temos manifestos nesse repositório (no path /app-manifests), o Argo já faz o sync entregando essas aplicações no controlplane do karmada e o karmada por sua vez, entrega nos dois clusters de acordo com o que for definido nos manifestos de PropagationPolicy:

Image description

Image description

No cluster pegasus podemos ver:

kubectl get pods -o wide | grep redis
Enter fullscreen mode Exit fullscreen mode

Image description

Cluster pegasus-2:

kubectl get pods -o wide | grep nginx
Enter fullscreen mode Exit fullscreen mode

Image description

No caso do deploy do RabbitMQ, podemos ver que existem replicas rodando nos dois clusters, quando olharmos os aquivos de PropagationPolicy poderemos entender.

kubectl get pods -o wide --context arn:aws:eks:us-east-2:ACCOUNTID:cluster/pegasus | grep rabbitmq
Enter fullscreen mode Exit fullscreen mode

Image description

kubectl get pods -o wide --context arn:aws:eks:us-west-2:ACCOUNTID:cluster/pegasus-2 | grep rabbitmq
Enter fullscreen mode Exit fullscreen mode

Image description

Karmada OverridePolicy e PropagationPolicy

No repositório que o Argo está monitorando, podemos ver os manifestos do karmada e também o manifestos de deployment que usamos como exemplo.

Exemplo Redis

Regras de override e selector do deployment onde será aplicado, no caso 'redis':

apiVersion: policy.karmada.io/v1alpha1
kind: OverridePolicy
metadata:
  name: redis-op
spec:
  resourceSelectors:
    - apiVersion: apps/v1
      kind: Deployment
      name: redis
  overrideRules:
    - targetCluster:
        clusterNames:
          - pegasus-2
      overriders:
        labelsOverrider:
          - operator: add
            value:
              env: skoala-dev
          - operator: add
            value:
              env-stat: skoala-stage
          - operator: remove
            value:
              for: for
          - operator: replace
            value:
              bar: test
    - targetCluster:
        clusterNames:
          - pegasus
      overriders:
        annotationsOverrider:
          - operator: add
            value:
              env: skoala-stage
          - operator: remove
            value:
              bom: bom
          - operator: replace
            value:
              emma: sophia
Enter fullscreen mode Exit fullscreen mode

Regras de propagação, selector do deployment e target cluster. Nesse caso de failover, esse deployment deve ser migrado para o cluster pegasus-2 caso o cluster pegasus entre em falha:

apiVersion: policy.karmada.io/v1alpha1
kind: PropagationPolicy
metadata:
  name: redis-propagation
spec:
  propagateDeps: true
  failover:
    application:
      decisionConditions:
        tolerationSeconds: 120
      purgeMode: Never
  resourceSelectors:
    - apiVersion: apps/v1
      kind: Deployment
      name: redis
  placement:
    clusterAffinity:
      clusterNames:
        - pegasus
        - pegasus-2
    spreadConstraints:
      - maxGroups: 1
        minGroups: 1
        spreadByField: cluster
Enter fullscreen mode Exit fullscreen mode

Exemplo Nginx 

apiVersion: policy.karmada.io/v1alpha1
kind: OverridePolicy
metadata:
  name: nginx-op
spec:
  resourceSelectors:
    - apiVersion: apps/v1
      kind: Deployment
      name: nginx
  overrideRules:
    - targetCluster:
        clusterNames:
          - pegasus-2
      overriders:
        labelsOverrider:
          - operator: add
            value:
              env: skoala-dev
          - operator: add
            value:
              env-stat: skoala-stage
          - operator: remove
            value:
              for: for
          - operator: replace
            value:
              bar: test
Enter fullscreen mode Exit fullscreen mode

Neste caso, apenas o cluster pegasus-2 foi definido em 'targetCluster':

apiVersion: policy.karmada.io/v1alpha1
kind: PropagationPolicy
metadata:
  name: nginx-propagation
spec:
  resourceSelectors:
    - apiVersion: apps/v1
      kind: Deployment
      name: nginx
  placement:
    clusterAffinity:
      clusterNames:
        - pegasus-2
    replicaScheduling:
      replicaDivisionPreference: Weighted
      replicaSchedulingType: Divided
      weightPreference:
        staticWeightList:
          - targetCluster:
              clusterNames:
                - pegasus-2
            weight: 1
Enter fullscreen mode Exit fullscreen mode

Exemplo RabbitMQ 

apiVersion: policy.karmada.io/v1alpha1
kind: OverridePolicy
metadata:
  name: rabbitmq-op
spec:
  resourceSelectors:
    - apiVersion: apps/v1
      kind: Deployment
      name: rabbitmq
  overrideRules:
    - targetCluster:
        clusterNames:
          - pegasus-2
      overriders:
        labelsOverrider:
          - operator: add
            value:
              env: skoala-dev
          - operator: add
            value:
              env-stat: skoala-stage
          - operator: remove
            value:
              for: for
          - operator: replace
            value:
              bar: test
    - targetCluster:
        clusterNames:
          - pegasus
      overriders:
        annotationsOverrider:
          - operator: add
            value:
              env: skoala-stage
          - operator: remove
            value:
              bom: bom
          - operator: replace
            value:
              emma: sophia
Enter fullscreen mode Exit fullscreen mode

Aqui temos algo diferente, onde os dois clusters são definidos em 'targetCluster', porém com pesos (weights) diferentes, fazendo com que o karmada entregue as réplicas de acordo com o peso de cada cluster:

apiVersion: policy.karmada.io/v1alpha1
kind: PropagationPolicy
metadata:
  name: rabbitmq-propagation
spec:
  resourceSelectors:
    - apiVersion: apps/v1
      kind: Deployment
      name: rabbitmq
  placement:
    clusterAffinity:
      clusterNames:
        - pegasus
        - pegasus-2
    replicaScheduling:
      replicaDivisionPreference: Weighted
      replicaSchedulingType: Divided
      weightPreference:
        staticWeightList:
          - targetCluster:
              clusterNames:
                - pegasus
            weight: 2
          - targetCluster:
              clusterNames:
                - pegasus-2
            weight: 1
Enter fullscreen mode Exit fullscreen mode

Remover ubuntu-admin e IRSA

Podemos deletar o pod ubuntu que usamos para setup do karmada, e também a IRSA:

kubectl delete -f ubuntu-admin-karmada.yaml
Enter fullscreen mode Exit fullscreen mode 
eksctl delete iamserviceaccount --name ubuntu-admin-karmada \                         
  --namespace karmada-system \
  --cluster pegasus \
  --region us-east-2 \
  --profile default
Enter fullscreen mode Exit fullscreen mode

Para a próxima, vamos buscar um cenário total de DR com o karmada e ver até onde chegamos.

Keep shipping!

Image
Mengetahui Tipe Mesin Judi Online yang Banyak Dipakai Dalam Permainan
Image
Deploying WordPress on Ubuntu VM with LAMP Stack: A Step-by-Step Guide

ubuntu, wordpress, linux
Image
rose black tea
Image
I Have Routing issue in Website in ERP

erp
Image
ROSE BLACK TEA
Image
VARDHAMAN TEA TRADING COMPANY
Image
Step-by-Step Guide: How to Perform a Self Thyroid Exam at Home

thyroid, treatment, couses
Image
API Mocking: Concept, Free Tool & Real-world Examples

mockapi, realapi, http, echoapi
Image
Effectively Onboarding Software Engineer Contractors: A Smooth Start

onboarding, softwareengineering
Image
Why Fajartoto is the Top Choice for Secure and Exciting Online Gaming and Betting

webdev, javascript, beginners, tutorial
Image
Berapakah Modal Sekurang-kurangnya buat Main Judi Online?
Image
A Step-by-Step Guide to Automating Smart Contract Upgrades with Deep Storage Data

smartcontract, upgradecontract, data
Image
6 Must-Have API Debugging Extensions for VSCode in September 2024

apidebug, restapi, vscode, postman
Image
belajar bermain slots online pada perjudian dalam jaringan untuk mendapatkan uang
Image
Why Opt for Revenue Cycle Management Software in Healthcare Financial Operations?

revenue, cycle, software, management
Image
30-Step Sure SEO Checklist to Make Your Next.js App Outrank Competitors

nextjs, seooptimzation, seochecklist, google
Image
CHAY
Image
Test
Image
Bacancy’s Data Science Solutions Propel National Bank’s Growth

datascience, dataengineering
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .