This example shows you how to package and run a Meteor app on Kubernetes.
To be able to run your Meteor app on Kubernetes you need to build a
Docker container for it first. To do that you need to install
Docker Once you have that you need to add 2
files to your existing Meteor project Dockerfile
and
.dockerignore
.
Dockerfile
should contain the below lines. You should replace the
ROOT_URL
with the actual hostname of your app.
FROM chees/meteor-kubernetes
ENV ROOT_URL http://myawesomeapp.com
The .dockerignore
file should contain the below lines. This tells
Docker to ignore the files on those directories when it's building
your container.
.meteor/local
packages/*/.build*
You can see an example meteor project already set up at: meteor-gke-example. Feel free to use this app for this example.
Note: The next step will not work if you have added mobile platforms to your meteor project. Check with
meteor list-platforms
Now you can build your container by running this in your Meteor project directory:
docker build -t my-meteor .
For the Docker Hub, tag your app image with
your username and push to the Hub with the below commands. Replace
<username>
with your Hub username.
docker tag my-meteor <username>/my-meteor
docker push <username>/my-meteor
For Google Container
Registry, tag
your app image with your project ID, and push to GCR. Replace
<project>
with your project ID.
docker tag my-meteor gcr.io/<project>/my-meteor
gcloud preview docker push gcr.io/<project>/my-meteor
Now that you have containerized your Meteor app it's time to set up
your cluster. Edit meteor-controller.json
and make sure the image
points to the container you just pushed to the Docker Hub or GCR.
As you may know, Meteor uses MongoDB, and we'll need to provide it a persistant Kuberetes volume to store its data. See the volumes documentation for options. We're going to use Google Compute Engine persistant disks. Create the MongoDB disk by running:
gcloud compute disks create --size=200GB mongo-disk
You also need to format the disk before you can use it:
gcloud compute instances attach-disk --disk=mongo-disk --device-name temp-data kubernetes-master
gcloud compute ssh kubernetes-master --command "sudo mkdir /mnt/tmp && sudo /usr/share/google/safe_format_and_mount /dev/disk/by-id/google-temp-data /mnt/tmp"
gcloud compute instances detach-disk --disk mongo-disk kubernetes-master
Now you can start Mongo using that disk:
kubectl create -f mongo-pod.json
kubectl create -f mongo-service.json
Wait until Mongo is started completely and then start up your Meteor app:
kubectl create -f meteor-controller.json
kubectl create -f meteor-service.json
Note that meteor-service.json
creates an external load balancer, so
your app should be available through the IP of that load balancer once
the Meteor pods are started. You can find the IP of your load balancer
by running:
kubectl get services/meteor -o template -t "{{.spec.publicIPs}}"
You will have to open up port 80 if it's not open yet in your environment. On GCE, you may run the below command.
gcloud compute firewall-rules create meteor-80 --allow=tcp:80 --target-tags kubernetes-minion
Firstly, the FROM chees/meteor-kubernetes
line in your Dockerfile
specifies the base image for your Meteor app. The code for that image
is located in the dockerbase/
subdirectory. Open up the Dockerfile
to get an insight of what happens during the docker build
step. The
image is based on the Node.js official image. It then installs Meteor
and copies in your apps' code. The last line specifies what happens
when your app container is run.
ENTRYPOINT MONGO_URL=mongodb://$MONGO_SERVICE_HOST:$MONGO_SERVICE_PORT /usr/local/bin/node main.js
Here we can see the MongoDB host and port information being passed
into the Meteor app. The MONGO_SERVICE...
environment variables are
set by Kubernetes, and point to the service named mongo
specified in
mongo-service.json
. See the environment
documentation
for more details.
As you may know, Meteor uses long lasting connections, and requires
sticky sessions. With Kubernetes you can scale out your app easily
with session affinity. The meteor-service.json
file contains
"sessionAffinity": "ClientIP"
, which provides this for us. See the
service
documentation
for more information.
As mentioned above, the mongo container uses a volume which is mapped
to a persistant disk by Kubernetes. In mongo-pod.json
the container
section specifies the volume:
"volumeMounts": [
{
"name": "mongo-disk",
"mountPath": "/data/db"
}
The name mongo-disk
refers to the volume specified outside the
container section:
"volumes": [
{
"name": "mongo-disk",
"gcePersistentDisk": {
"pdName": "mongo-disk",
"fsType": "ext4"
}
}
],