7. Containerized deployment¶
There are many ways to use containerized application, from the most simple (simple Docker images) to sophisticated (Kubernetes and so on).
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This kind of deployment needs the docker application to be installed and running. Check this tutorial.
Tipp
Docker run pre packaged application (aka images) which can be retrieved as sources (Dockerfile and resources) to build or already built from registries (private or public).
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QGIS Debian-Ubuntu package downloads need a valid gpg authentication key. Please refer to the installation pages to update the following Dockerfile with the latest key fingerprint
7.1. Simple docker images¶
As the docker image does not exist in a public registry. you will need to build
it. To do so create a directory qgis-server
and within its directory:
create a file
Dockerfile
with this content:
FROM debian:buster-slim
ENV LANG=en_EN.UTF-8
RUN apt-get update \
&& apt-get install --no-install-recommends --no-install-suggests --allow-unauthenticated -y \
gnupg \
ca-certificates \
wget \
locales \
&& localedef -i en_US -f UTF-8 en_US.UTF-8 \
# Add the current key for package downloading - As the key changes every year at least
# Please refer to QGIS install documentation and replace it with the latest one
&& wget -O - https://qgis.org/downloads/qgis-2020.gpg.key | gpg --import \
&& gpg --export --armor F7E06F06199EF2F2 | apt-key add - \
&& echo "deb http://qgis.org/debian buster main" >> /etc/apt/sources.list.d/qgis.list \
&& apt-get update \
&& apt-get install --no-install-recommends --no-install-suggests --allow-unauthenticated -y \
qgis-server \
spawn-fcgi \
xauth \
xvfb \
&& apt-get remove --purge -y \
gnupg \
wget \
&& rm -rf /var/lib/apt/lists/*
RUN useradd -m qgis
ENV TINI_VERSION v0.17.0
ADD https://github.com/krallin/tini/releases/download/${TINI_VERSION}/tini /tini
RUN chmod +x /tini
ENV QGIS_PREFIX_PATH /usr
ENV QGIS_SERVER_LOG_STDERR 1
ENV QGIS_SERVER_LOG_LEVEL 2
COPY cmd.sh /home/qgis/cmd.sh
RUN chmod -R 777 /home/qgis/cmd.sh
RUN chown qgis:qgis /home/qgis/cmd.sh
USER qgis
WORKDIR /home/qgis
ENTRYPOINT ["/tini", "--"]
CMD ["/home/qgis/cmd.sh"]
create a file
cmd.sh
with this content:
#!/bin/bash
[[ $DEBUG == "1" ]] && env
exec /usr/bin/xvfb-run --auto-servernum --server-num=1 /usr/bin/spawn-fcgi -p 5555 -n -d /home/qgis -- /usr/lib/cgi-bin/qgis_mapserv.fcgi
build the image with:
docker build -f Dockerfile -t qgis-server ./
7.1.1. First run¶
To run the server you will need a QGIS project file. You can use one of yours or pick this sample.
To do so, create a directory data
within the directory
qgis-server
and copy your file in it. To comply with the following
explanations, rename it to osm.qgs
.
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You may need to add advertised URLs under the QGIS Server tab of the
if the GetCapabilites are broken.
For example if your server is exposed on port 8080, you will put this for
advertised URL http://localhost:8080/qgis-server/
. More information
available in section Configure your project and subsequent.
Now, you can run the server with:
docker network create qgis
docker run -d --rm --name qgis-server --net=qgis --hostname=qgis-server \
-v $(pwd)/data:/data:ro -p 5555:5555 \
-e "QGIS_PROJECT_FILE=/data/osm.qgs" \
qgis-server
Options used:
-d: run in the background
–rm: remove the container when it is stopped
–name: name of the container to be created
–net: (previously created) sub network
–hostname: container hostname, for later referencing
-v: local data directory to be mounted in the container
-p: host/container port mapping
-e: environment variable to be used in the container
To check, type docker ps | grep qgis-server
and you should see a
line with qgis-server:
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
4de8192da76e qgis-server "/tini -- /home/qgis…" 3 seconds ago Up 2 seconds 0.0.0.0:5555->5555/tcp qgis-server
7.1.2. Usable sample¶
As the server is only accepting fastcgi connections, you need an HTTP server that handles this protocol. To do so we have to create a simple Nginx configuration file and start a Nginx image.
Create a file nginx.conf
in the current directory with this
content:
server {
listen 80;
server_name _;
location / {
root /usr/share/nginx/html;
index index.html index.htm;
}
location /qgis-server {
proxy_buffers 16 16k;
proxy_buffer_size 16k;
gzip off;
include fastcgi_params;
fastcgi_pass qgis-server:5555;
}
}
And type this command:
docker run -d --rm --name nginx --net=qgis --hostname=nginx \
-v $(pwd)/nginx.conf:/etc/nginx/conf.d/default.conf:ro -p 8080:80 \
nginx:1.13
To check capabilities availability, type in a browser http://localhost:8080/qgis-server/?SERVICE=WMS&VERSION=1.3.0&REQUEST=GetCapabilities
7.2. Docker stacks¶
The previous method is scriptable, but not easily packageable nor standardized or easily manageable.
To work with a docker image set you could use a docker stack managed by an orchestrator. In a stack, the images are working in the same private network, and you can start / stop the whole stack or deploy the stack to other workers. There are many orchestrators, for example Swarm, Kubernetes and Mesos.
In the following, we will present simple configurations for testing purposes. They are not suitable for production.
7.2.1. Swarm/docker-compose¶
Docker now has its own orchestrator: Swarm (compatible with docker-compose files). You have to enable it (the Mac version will also work with Linux).
Stack description¶
Now that you have Swarm working, create the service file (see
Deploy to Swarm)
qgis-stack.yaml
:
version: '3.7'
services:
qgis-server:
# Should use version with utf-8 locale support:
image: qgis-server:latest
volumes:
- REPLACE_WITH_FULL_PATH/data:/data:ro
environment:
- LANG=en_EN.UTF-8
- QGIS_PROJECT_FILE=/data/osm.qgs
- QGIS_SERVER_LOG_LEVEL=0 # INFO (log all requests)
- DEBUG=1 # display env before spawning QGIS Server
nginx:
image: nginx:1.13
ports:
- 8080:80
volumes:
- REPLACE_WITH_FULL_PATH/nginx.conf:/etc/nginx/conf.d/default.conf:ro
depends_on:
- qgis-server
To deploy (or update) the stack, type:
docker stack deploy -c qgis-stack.yaml qgis-stack
Check the stack deployment status until you obtain 1/1 in the replicas column:
docker stack services qgis-stack
Something like:
ID NAME MODE REPLICAS IMAGE PORTS
gmx7ewlvwsqt qgis_nginx replicated 1/1 nginx:1.13 *:8080->80/tcp
l0v2e7cl43u3 qgis_qgis-server replicated 1/1 qgis-server:latest
To check WMS capabilities, type in a web browser http://localhost:8080/qgis-server/?SERVICE=WMS&VERSION=1.3.0&REQUEST=GetCapabilities
7.2.2. Kubernetes¶
Installation¶
If you have a Docker Desktop installation, using Kubernetes (aka k8s) is pretty straight forward: enable k8s.
If not, follow the minikube tutorial or microk8s for Ubuntu.
As Kubernetes installation can be really complex, we will only focus on aspects used by this demo. For further / deeper information, check the official documentation.
microk8s¶
microk8s needs extra steps: you have to enable the registry and tag the qgis-server image in order to have Kubernetes to find the created images.
First, enable the registry:
microk8s enable dashboard dns registry
Then, tag and push the image to your newly created registry:
docker tag qgis-server 127.0.0.1:32000/qgis-server && docker push 127.0.0.1:32000/qgis-server
Finally, add or complete the /etc/docker/daemon.json
to have
your registry 127.0.0.1:32000 listed in the
insecure-registries field:
{
"insecure-registries": ["127.0.0.1:32000"]
}
Creating manifests¶
Kubernetes describes the objects to deploy in yaml manifests. There are many different kinds, but we will only use deployments (handle pods, i.e. docker images) and services to expose the deployments to internal or external purposes.
Deployment manifests¶
Create a file deployments.yaml
with this content:
apiVersion: apps/v1
kind: Deployment
metadata:
name: qgis-server
namespace: default
spec:
replicas: 1
selector:
matchLabels:
myLabel: qgis-server
template:
metadata:
labels:
myLabel: qgis-server
spec:
containers:
- name: qgis-server
image: localhost:32000/qgis-server:latest
imagePullPolicy: IfNotPresent
env:
- name: LANG
value: en_EN.UTF-8
- name: QGIS_PROJECT_FILE
value: /data/osm.qgs
- name: QGIS_SERVER_LOG_LEVEL
value: "0"
- name: DEBUG
value: "1"
ports:
- containerPort: 5555
volumeMounts:
- name: qgis-data
mountPath: /data/
volumes:
- name: qgis-data
hostPath:
path: REPLACE_WITH_FULL_PATH/data
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: qgis-nginx
namespace: default
spec:
replicas: 1
selector:
matchLabels:
myLabel: qgis-nginx
template:
metadata:
labels:
myLabel: qgis-nginx
spec:
containers:
- name: qgis-nginx
image: nginx:1.13
ports:
- containerPort: 80
volumeMounts:
- name: nginx-conf
mountPath: /etc/nginx/conf.d/default.conf
volumes:
- name: nginx-conf
hostPath:
path: REPLACE_WITH_FULL_PATH/nginx.conf
Service manifests¶
Create a file services.yaml
with this content:
apiVersion: v1
kind: Service
metadata:
name: qgis-server
namespace: default
spec:
type: ClusterIP
selector:
myLabel: qgis-server
ports:
- port: 5555
targetPort: 5555
---
apiVersion: v1
kind: Service
metadata:
name: qgis-nginx
namespace: default
spec:
type: NodePort
selector:
myLabel: qgis-nginx
ports:
- port: 80
targetPort: 80
nodePort: 30080
Deploying manifests¶
To deploy the images and services in Kubernetes, one can use the dashboard (click on the + on the upper right) or the command line.
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When using the command line with microk8s you will have to prefix each command with microk8s.
To deploy or update your manifests:
kubectl apply -k ./
To check what is currently deployed:
kubectl get pods,services,deployment
You should obtain something like:
NAME READY STATUS RESTARTS AGE
pod/qgis-nginx-54845ff6f6-8skp9 1/1 Running 0 27m
pod/qgis-server-75df8ddd89-c7t7s 1/1 Running 0 27m
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
service/Kubernetes ClusterIP 10.152.183.1 <none> 443/TCP 5h51m
service/qgis-exec-server ClusterIP 10.152.183.218 <none> 5555/TCP 35m
service/qgis-nginx NodePort 10.152.183.234 <none> 80:30080/TCP 27m
service/qgis-server ClusterIP 10.152.183.132 <none> 5555/TCP 27m
NAME READY UP-TO-DATE AVAILABLE AGE
deployment.apps/qgis-nginx 1/1 1 1 27m
deployment.apps/qgis-server 1/1 1 1 27m
To read nginx/qgis logs, type:
kubectl logs -f POD_NAME
To check WMS capabilities, type in a web browser http://localhost:30080/qgis-server/?SERVICE=WMS&VERSION=1.3.0&REQUEST=GetCapabilities
7.3. Cloud deployment¶
Managing your own cluster of servers to handle the deployment of containerized applications, is a complex job. You have to handle multiple issues, such as hardware, bandwidth and security at different levels.
Cloud deployment solutions can be a good alternative when you do not want to focus on infrastructure management.
A cloud deployment may use proprietary mechanisms, but they are also compatible with the stages explained previously (docker images and stack management).
7.3.1. AWS usecase¶
With Amazon AWS, through ECS (Elastic Container Service) functionalities, you can use docker-compose or Kubernetes compatible wrappers to manage your stack. You will have to create an image registry for your custom images to be accessible.
To use docker-compose alike functionalities, you need to install the ecs-cli client and have proper permissions / roles. Then, with the help of the ecs-cli compose commands (see the ecs-cli compose manual and ecs-cli tutorial), you can reuse the stack description.
To use Kubernetes, you can use the AWS web console or the command line tool eksctl and have the proper permissions / roles. Then with a well configured kubectl environment, you can reuse the Kubernetes manifests.