Easily deploy Magento2 in Kubernetes including MySQL, Elasticsearch, Redis, RabbitMQ and Varnish. The project includes best-of-breed charts from Bitnami, Elasticsearch and others to give maximum flexibility for deploying and configuring the services.
The chart has been battle tested in Magento2 OpenSource and Adobe Commerce production environments. The bundled values.yaml provides basic settings, which should be adjusted before deployment.
Install via CLI:
helm install --create-namespace -n magento2-demo magento2 oci://registry-1.docker.io/phoenixmedia/magento --version 2.7.0Add as dependency to existing chart:
apiVersion: v2
name: my-project-chart
...
dependencies:
- name: magento
version: 2.7.0
repository: oci://registry-1.docker.io/phoenixmediaThe chart references PHOENIX MEDIA's Magento2 Docker image. It consists of an Alpine nginx+PHP8.2 base image, Magento OpenSource 2.4.6-p4 source code and a few Composer packages to add build+deploy scripts. The image is available on DockerHub and the source code including Github Action is available in the magento2-build repository.
For more information checkout the article Running Magento2 in Kubernetes — Part 2: Building the Docker Image.
ECE-Tools is a set of scripts and tools designed to manage and deploy Cloud projects.
Using ECE-Tools for building and deploying the Docker image reduces the amount of custom scripts and also gives great flexibility to adjust process as needed. It is recommended to get familiar with its build and deploy mechanisms.
It is required to review and adjust the Magento Cloud environment variables
for the magento and cronjob deployment in the values.yaml:
- MAGENTO_CLOUD_ROUTES
- MAGENTO_CLOUD_RELATIONSHIPS
- MAGENTO_CLOUD_VARIABLES
Their values are simply base64 encoded JSON objects. To decode them either run echo "<value>" | base64 -d or use an
online decoder (beware when using sensitive data).
Note: It is best practice to maintain sensitive values in a Kubernetes Secret instead of keeping them in the
values.yaml.
The values*.yaml files contain domain specific configurations. You will need to update a few lines the environment variables of the magento, cronjob and xdebug (optional) workloads as well as in the ingress section:
secrets:
credentials:
data:
MAGENTO_CLOUD_ROUTES: <base64-encoded-string-containing-your-domain>
MAGENTO_CLOUD_ROUTES: <base64-encoded-string-containing-your-domain>
ingress:
hosts:
- name: <your-domain>
Before enabling the ingress make sure to configure host.name and the TLS certificate properly. When having
cert-manager installed set ingress.certManager: true to automatically generate a
certificate for the application.
If you prefer to skip Varnish for certain routes simply configure additional paths:
paths:
- path: "/"
serviceName: varnish
servicePort: 80
- path: "/pub/media"
serviceName: magento
servicePort: 80
In case you want to protect the Magento backend by IP or BasicAuth we recommend to duplicate the templates/ingress.yaml
(e.g. to your Helm project root) and configure a second Ingress with proper annotations.
It is recommended to store sensitive information in a Kubernetes Secret (default name "general-secrets"). The Helm Chart supports multiple ways to deploy secrets:
Like in the default values.yaml sensitive information can be set directly in the YAML structure:
secrets:
credentials:
data:
mariadb-password: topSecret
While this is okay for testing, it is not recommended to use this in production environments.
In many CI/CD pipelines credentials are accessible by environment variables which can be easily passed via CLI:
helm install --set secrets.credentials.data.mariadb-password=$MYSQL_PASSWORD -f values.yaml magento2 .
Credentials could be safely stored in a Vault. The ESO can read credentials form all major Vault providers, transform them and save them in a Kubernetes Secret. Even more it can automatically refresh them.
Support for ESO can be enabled simply by setting secrets.externalSecrets.enabled=true. The template for the SecretStore
allows flexible configuration of the preferred secret provider.
The value.yaml provides an example configuration for Hashicorp Vault.
It also contains an ExternalSecret example for data and templates definition.
For more information see the ESO documentation.
For the media and var folder Magento usually requires an NFS share. Depending on the Kubernetes environment files shares are available by referencing the correct storageClass.
In the values.yaml the persistence section and adjust it:
persistence:
enabled: true
name: magento-data
#existingClaim:
accessMode: ReadWriteMany
size: 10Gi
storageClassName: "files"
Existing PVCs can be also referenced
by using existingClaim.
supervisord starts a simple Postfix MTA included in the Alpine base image. However, you should configure a mail relay which accepts mails for your Magento instance and is eligible to send emails for the configured store email addresses.
Make sure to configure it for the magento and cronjob deployment:
env:
- name: RELAYHOST
value: my.relayhost.com
- name: SMTP_USE_TLS
value: "true"
For fresh installations it is possible to install Magento's sample data. This requires Magento Marketplace authentication keys to be configured. They can be set in the environment variables of the cronjob deployment:
env:
- name: ADD_SAMPLE_DATA
value: "true"
- name: COMPOSER_AUTH
value: |-
{
"http-basic": {
"repo.magento.com": {
"username": "<public key>",
"password": "<private key>"
}
}
}
Debugging in a remote environment can help to bring down resolution time for complex issues. Since Xdebug has to establish a TCP connection to the IDE, the network setup can become complex.
While this Helm chart won't solve the complexity of setting up a VPN and maybe DBGp proxy
it deploys an additional container which has Xdebug enabled. In order to route traffic to this Xdebug-enabled Magento container
you have to adjust the Varnish VCL prepared in the values.yaml:
# whitelist your developer IPs
acl xdebug-users {
"192.168.0.0/24";
}
# uncommend these lines
# use xdebug backend
# if (req.http.cookie ~ "XDEBUG_SESSION=" && std.ip(req.http.X-Real-IP, "0.0.0.0") ~ xdebug-users) {
# set req.backend_hint = magento_director.backend("xdebug");
# return (pass);
# }
For any request from the whitelisted networks which has the XDEBUG_SESSION request cookie (we use Xdebug Chrome Extension)
the request will be sent to the xdebug pod instead of the normal magento pods.
In addition, the settings for the xdebug workload have to be adjusted in the values.yaml:
xdebug:
enabled: true
reuseMagentoEnvs: true
env:
- name: XDEBUG_INSTALL
value: "true"
- name: XDEBUG_REMOTE_HOST
value: "dbgp-proxy"
Caution: Running Xdebug in a public environment can be a security issue. Enable this functionality at your own risk.
imgproxy instantly resizes images and delivers it in an optimal format. This offloads resources from the Magento pod and delivers images faster in PNG/WebP without additional effort.
To enable imgproxy in your deployment set imgproxy.enabled: true in your values file. Varnish will detect media image request
and will forward the request to imgproxy if available. The response will get cached response on a disk cache. For details check the
modified VCL in values.yaml. The relevant sections can be found by search for x-img in the VCL.
Resizing of product images happens on-the-fly once you enable the configuration in Magento the URL format. This will append formatting instructions for width and height to the original product image URL. In addition to the clients accept headers this information is used by imgproxy to deliver the image in the desired resolution.
In case imgproxy can't serve the image the request will be gracefully forwarded to the Magento pod, which serves the configured placeholder image for requests to
media/catalogandmedia/wysiwyg. The relevant VCL subrouting isvcl_synth.
The chart requires Helm 3.x and has been tested with 3.9.0.
Make sure to adjust the values.yaml before deployment.
The Helm command is straight forward:
helm upgrade -i --create-namespace -n my-namespace magento .
Deploying the whole Magento2 stack is complex operation and not unlikely when trying it the first time. We prefer to use
optional --wait --timeout 15m parameters in a deployment pipeline to see if the deployment was actually successful.
To deploy Magento to different environments (develop, staging, production) it is recommended to create a values_*.yaml
for each environment and tune the resource limits and configuration values of the services.
The file values_docker.yaml will override values inside values.yaml. It contains all of the necessary values that would need to change to run the Helm chart in the Docker Desktop K8S environment.
The following steps will give a guide on how to achieve that:
- Install Docker Desktop >= 4.10 locally (Tested with 4.10.1) and enable Kubernetes in the settings to start the cluster. It is also recommended to increase the available resources of Docker Desktop to 4 CPU cores and 8 GB of RAM to ensure a smooth operation. Alternatively you may install kubectl separately, however that may be a more error-prone approach.
- Clone this repository locally on your computer.
Verify the kubectl context as shown here or alternatively generate a kube-config file which will be used for the Helm deployment. Make sure to generate it in the same folder as the git repo. Quickest way to do so is:
kubectl config view --raw > <name-of-your-file>
Set up an environment for Helm. It is recommended to use a Docker container to avoid dependency issues:
docker run -ti --entrypoint= -v $(pwd):/apps alpine/helm:latest sh
When using the native Helm installation bear in mind that the Helm version needs to >= 3.9
Pull the chart dependencies and deploy the Helm chart.
helm dependency update #pulls all the other charts that our chart uses
helm upgrade -i --kubeconfig <name-of-your-kubeconfig-flie> -f values_docker.yaml --create-namespace -n <your-namespace> magento .
Check the progress of the Helm deployment in Kubernetes (not in your docker container)
kubectl get pods -n <your-namespace> -w
After the deployment has fully finished an Ingress-NGINX instance is needed to access Magento store through the browser. Since Docker Desktop ships without a Kubernetes Ingress, see here, use the following Helm command to deploy it:
helm upgrade --kubeconfig kube-config --install ingress-nginx ingress-nginx --repo https://kubernetes.github.io/ingress-nginx --namespace ingress-nginx --create-namespace
The command above deploys an Ingress-NGINX pod that has access to the /etc/hosts file. Make sure to add a mapping for the predefined Magento domain, magento.local, in this file to ensure the domain points to the local K8S cluster. Ingress will then forward the traffic to the Magento instance.
echo "127.0.0.1 magento.local" >> /etc/hosts
Navigate to http://magento.local in your browser and play around with your local Magento installation!
This guide and the values_docker.yaml file are configured for the magento.local domain. You will need to update a few lines on the said file as shown in this section
The file values_gke.yaml will override values inside values.yaml. It contains all necessary values to deploy the Helm chart in a GKE K8S environment.
- Create a Google account. You can start a free trial at GKE. It is recommended to use the built-in terminal since it will include all the necessary dependencies like Helm, kubectl and gcloud.
- Clone this repository to the machine you decided to use.
Create a new project and make sure it is connected to your billing account as described here.
Switch the gcloud context to the newly created project:
gcloud config set project <project-id>
Enable all necessary API services:
gcloud services enable container.googleapis.com
gcloud services enable file.googleapis.com
Create new a Kubernetes cluster:
gcloud container clusters create <cluster-name> --zone=asia-east1-a --addons=HttpLoadBalancing,GcePersistentDiskCsiDriver,GcpFilestoreCsiDriver --image-type=UBUNTU_CONTAINERD --machine-type=e2-standard-2
Create a static IP for the Ingress domain (optional, since an Ingress IP will not change unless you redeploy it) and update the values_gke.yaml file:
gcloud compute addresses create <adress-name> --global
Pull the chart dependencies and deploy the Helm chart:
helm dependency update
helm upgrade -i -f values_gke.yaml --create-namespace -n <your-namespace> magento .
Wait until all the workloads reached ready state and ensure the DNS resolves the configured domain name to the Ingress IP.
Navigate to http://<your-domain> and checkout the new Magento2 instance.
This guide and the values_gke.yaml file are configured for the magento.phoenix-media.rocks example domain. You will need to update a few lines as described in this section.
- Allow custom annotations and labels in all resources
- Add Horizontal Pod Autoscaler (HPA) and Pod Disruption Budget (PDB) for Magento workload
- Add support for sidecars in Magento deployments
- Add extra manifest to declare additional objects
- Updated Magento2 to v2.4.6-p4 with PHP 8.2 support
- Updated Opensearch (default), Varnish and imgproxy charts
- Fixed: Don't deploy xdebug service if not enabled
- Fixed: Don't deploy RBAC for RabbitMQ
- Changed: Removed GKE managed-cert template. Use new extra-manifest instead.
- Added GH action for linting and testing the chart
- Fixed: chart-releaser for automated publishing
- Kubernetes 1.26-1.29 compatibility
- Add support for stringData credentials, changed
secrets.credentialsstructure (BC break with 2.6.0)
- Breaking: Moved all credentials to a Kubernetes Secret. See new secrets section in
values.yaml - Added support for External Secrets Operator
- Added Opensearch as alternative to Elasticsearch. Set
elasticsearch.enabled: falseandopensearch.enabled: trueto switch search engines. - Added imgproxy for dynamic image resizing. See imgproxy section for details.
- Add disk-cache volume for Varnish
- Updated Helm charts and container images for Redis, Varnish and RabbitMQ to meet Adobe Commerce/Magento 2.4.5 System Requirements
- Kubernetes 1.25 compatibility
- Updated Elasticsearch chart to 7.17
- Added values_gke.yaml file for GKE deployments
- Added template for GKE managed certificates
- Added GKE deployment guide to readme
- Use PHOENIX MEDIA's Magento OpenSource 2.4.5 build as base image
- Added optional ingressClassName
- Added values_docker.yaml for Docker Desktop deployments
- small adjustments in values.yaml
- Use PHOENIX MEDIA's Magento OpenSource 2.4.4 build as base image
- Updated Bitnami charts
- Use Softonic Varnish chart
- Use upstream Varnish version
- Cleaned up values.yaml
The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.
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