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We recommend creating separate namespaces for each product e.g. HiveMQ, Kafka, Swarm etc to easily manage the installations
Create a HiveMQ namespace

  1. Create a new namespace
    kubectl create namespace hivemq

  2. Set the namespace as the default
    kubectl config set-context --current --namespace=hivemq

  3. You can confirm your namespace using the following 

    kubectl config view --minify -o jsonpath='{..namespace}'

Add Helm repository

To use the HiveMQ Kubernetes Operator to deploy and manage your HiveMQ cluster on the Kubernetes nodes, you need to add the HiveMQ Helm repository to your Helm installation:

helm repo add hivemq https://hivemq.github.io/helm-charts
helm repo update

Download the values.yaml file and open it in a code editor of your choice( we use VSCode). This file will be modified for configuration changes in the future

helm show values hivemq/hivemq-operator > values.yaml

The values.yaml contains resource definitions such as cpu , memory , disk size and others. In our case we use the following

  • nodecount: 3

  • cpu: "4"

  • memory: "4Gi"

  • ephemeralStorage: "15Gi"

Apply the changes to the cluster 

helm upgrade hivemq --install hivemq/hivemq-operator --values values.yaml

Verify if HiveMQ Cluster is running successfully

Please make sure that pods are running successfully after the change, it may take some time for the pods to be ready

kubectl get pods

Check the Hivemq deployment log by running the following and checking for INFO - Started HiveMQ in XYZ ms

kubectl logs deployments/hivemq | grep 'Started HiveMQ in'
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