This document guides help us, how can we setup the MongoDB in the Kubernetes cluster. This is basic tutorial where developer can setup MongoDB on Kubernetes which run in a local machine.
Prerequisites
- Install Docker Desktop https://docs.docker.com/desktop/
- Install the Kind for creating Kubernetes cluster inside Docker. This helps us easily test our application on your local environment and easily clean / delete cluster once testing completed and it will not effect existing working environment
Create cluster with Kind
We’ll require to establish a connection between our local environment and the Kubernetes cluster. We are exposing the NodePort to connect the MongoDB. While developing or testing better to use the Kubernetes service type is “NodePort”. This helps us easily test our application in the cluster.
Create the yaml file cluster-config.yaml. This file is created under mongodb folder.
kind: Cluster
apiVersion: kind.x-k8s.io/v1alpha4
nodes:
- role: control-plane
extraPortMappings:
- containerPort: 31252
hostPort: 31252
listenAddress: "0.0.0.0"
protocol: TCP
Create the cluster
kind create cluster --config mongodb/cluster-config.yaml --name mongodb-testing
See cluster up and running:
kubectl get nodes
NAME STATUS ROLES AGE VERSION
mongodb-testing-control-plane NotReady control-plane 16s v1.30.0
I am using the a small linux box which can run inside docker, it helps me to install my relevant tools for setup the working environment. We can stop / delete this container after testing is completed. For this, I am using Alpine Linux and it is very small container in local machine.
Run Alpine Linux:
docker run -it --name testing-linux-box -v ${HOME}:/root/ -v ${PWD}:/work -w /work --net host alpine sh
The Docker command you've provided runs an interactive shell session in an Alpine Linux container with the following details:
-
Container Name:
testing-linux-box
-
Volume Mounts:
-
${HOME}:/root/
: This mounts the user's home directory on the host machine to the/root
directory in the container. -
${PWD}:/work
: This mounts the current working directory on the host machine to the/work
directory in the container.
-
-
Working Directory: The working directory inside the container is set to
/work
. -
Network Mode: The container uses the host's network stack (
--net host
).
This setup is useful for testing and development, especially if you need access to files on your host machine or want to run network operations without worrying about port mapping.
sh into running container command:
docker exec -it testing-linux-box sh
We should install following tools to setup MongoDB in our cluster.
- Install “curl” : This helps us to download the files from internet inside cluster
apk add --no-cache curl
- Install “Kubectl”:
kubectl
is the command-line tool for interacting with Kubernetes clusters. It allows you to deploy applications, manage cluster resources, and troubleshoot running applications.
curl -LO https://storage.googleapis.com/kubernetes-release/release/`curl -s https://storage.googleapis.com/kubernetes-release/release/stable.txt`/bin/linux/amd64/kubectl
chmod +x ./kubectl
mv ./kubectl /usr/local/bin/kubectl
- Install Helm: Helm is a package manager for Kubernetes, allowing you to define, install, and manage Kubernetes applications using charts. Helm charts are pre-configured Kubernetes resources that can be easily deployed and versioned.
curl -o /tmp/helm.tar.gz -LO https://get.helm.sh/helm-v3.10.1-linux-amd64.tar.gz
tar -C /tmp/ -zxvf /tmp/helm.tar.gz
mv /tmp/linux-amd64/helm /usr/local/bin/helm
chmod +x /usr/local/bin/helm
Setup MongoDB
Add the MongoDB Community Helm Repository: First, you need to add the MongoDB community Helm repository to your Helm client:
helm repo add bitnami https://charts.bitnami.com/bitnami
helm repo update
Create namespace on Kubernetes, we are installing the service insider this namespace.
kubectl create namespace database
Install MongoDB in the Kubernetes Cluster
Create helm value YAML file “helm-value.yaml”, where we can provided the configuration for MongoDB database.
This file is created under mongodb folder “mongodb/helm-value.yaml”
replicaSet:
enabled: true
name: rs0
replicas:
secondary: 1
arbiter: 1
auth:
enabled: true
rootPassword: myRootPassword
username: myUser
password: myPassword
database: myDatabase
service:
type: NodePort
nodePorts:
mongodb: 31252
ports:
mongodb: 27017
persistence:
enabled: true
size: 1Gi
storageClass: "standard"
MongoDB helm chart values: https://github.com/bitnami/charts/blob/main/bitnami/mongodb/values.yaml
Note: Kind cluster configuration container port and mongodb node port should be same
Install MongoDB
helm install my-mongodb -f mongodb/helm-value.yaml bitnami/mongodb --namespace database
We can check the service the node port and service type is configured properly
kubectl get svc -n database
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
my-mongodb NodePort 10.96.136.248 <none> 27017:31252/TCP 9m54s
We can install MongoDB Compass for testing the Mongo Db connection and create the database and collections
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