Docker & Kubernetes 3 : minikube Django with Redis and Celery
Continued from the previous Kubernetes minikube (Docker & Kubernetes 2 : minikube Django with Postgres - persistent volume), we'll use Django with additional apps such as Redis and Celery.
Kubernetes version info:
$ kubectl version Client Version: version.Info{Major:"1", Minor:"11", GitVersion:"v1.11.3", GitCommit:"a4529464e4629c21224b3d52edfe0ea91b072862", GitTreeState:"clean", BuildDate:"2018-09-10T11:44:36Z", GoVersion:"go1.11", Compiler:"gc", Platform:"darwin/amd64"} Server Version: version.Info{Major:"1", Minor:"10", GitVersion:"v1.10.0", GitCommit:"fc32d2f3698e36b93322a3465f63a14e9f0eaead", GitTreeState:"clean", BuildDate:"2018-03-26T16:44:10Z", GoVersion:"go1.9.3", Compiler:"gc", Platform:"linux/amd64"}
We need to switch Python 3.6 because the Celery's "async" does not supported on 3.7.
We'll use Redis as a broker over other message brokers such as RabbitMQ, ActiveMQ or Kafka.
We'll also use Celery, an asynchronous task queue based on distributed message passing while the Redis as the message broker. Celery is task queue for a real time processing based on the producer consumer design pattern.
A producer creates the task. The task is placed in a messaging queue. Consumers subscribed to the messaging queue can receive the messages and process the tasks in a different queue.Picture from Python - Django
To integrate Celery with Django, create a __init__.py in the project root directory. Then another Python file celery.py in our kube_django app directory:
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'kube_django.settings') app = Celery('kube_django') ... app.autodiscover_tasks()
We define the environment variable DJANGO_SETTINGS_MODULE and the line, autodiscover_tasks() will run through all our modules and look for asynchronous task registered Django app configs.
from __future__ import absolute_import, unicode_literals from .celery import app as celery_app __all__ = ['celery_app']
After adding these codes, add the following variable into our main kube_django/settings.py:
# REDIS REDIS_URL = "redis://{host}:{port}/1".format( host=os.getenv('REDIS_HOST', 'localhost'), port=os.getenv('REDIS_PORT', '6379') ) CACHES = { "default": { "BACKEND": "django_redis.cache.RedisCache", "LOCATION": REDIS_URL, "OPTIONS": { "CLIENT_CLASS": "django_redis.client.DefaultClient" }, "KEY_PREFIX": "example" } } # CELERY BROKER_URL = REDIS_URL CELERY_BROKER_URL = REDIS_URL
This would define the host of our Redis instance. Celery will look for variables with ‘CELERY_’ prefix in the settings.py defined in system environment.
Now, all our integration is done but definition of async tasks. To define an async task, simply import and add the decorator @shared_task to each method or function.
# Python from datetime import datetime # Celery from celery import shared_task @shared_task def display_time(): print("The time is %s :" % str(datetime.now())) return True
To spawn workers, we use the following command in deploy/celery/worker.yaml:
spec: containers: - name: celery-worker image: dockerbogo/django_minikube:3.0.6 command: ['celery', '-A', 'kube_django', 'worker', '-l', 'info']
To have a celery cron job running, we need to start celery with the celery beat command:
spec: containers: - name: celery-worker image: dockerbogo/django_minikube:3.0.6 command: ['celery', '-A', 'kube_django', 'worker', '-l', 'info']
To test if our Django app works with local virtual environment. Start the Postgres:
$ pg_ctl -D /usr/local/var/postgres start ... ...listening on IPv4 address "127.0.0.1", port 5432 ...listening on Unix socket "/tmp/.s.PGSQL.5432" done server started $ postgres -V postgres (PostgreSQL) 10.5
May need to install redis as well and run it:
$ brew install redis $ redis-server $ redis-client ping Pong
Virtualenv:
$ virtualenv venv $ source venv/bin/activate (venv) $ pip install -r requirements.txt (venv) $ python manage.py makemigrations (venv) $ python manage.py migrate Operations to perform: Apply all migrations: admin, auth, contenttypes, db, sessions Running migrations: No migrations to apply.
Now we can test if our app is working with database by starting up the Django development server:
(venv) $ python manage.py runserver 0.0.0.0:8000 Django version 2.1, using settings 'kube_django.settings' Starting development server at http://0.0.0.0:8000/ Quit the server with CONTROL-C.
In the web browser, visit the server's domain name or IP address followed by :8000 to reach default Django root page:
http://server_domain_or_IP:8000
We should see the following pages:
We can see our Django app is workings. So, exit from virtualenv and move on to minikube:
(venv) $ deactivate
$ minikube start $ kubectl config current-context minikube $ eval $(minikube docker-env)
Before building an image, remove "venv" if created.
Let's create the image and push it to DockerHub:
$ docker build -t dockerbogo/django-minikube-c:2.0.0 . $ docker push dockerbogo/django-minikube-c:2.0.0
Two ways of updating resources:
- We may want to delete any objects we created earlier and create new ones:
- Or we can just use kubectl apply our configurations to create resources:
$ kubectl delete -f deploy/postgres/ $ kubectl delete -f deploy/redis/ $ kubectl delete -f deploy/django/ $ kubectl delete -f deploy/celery/ $ kubectl create -f deploy/postgres/ $ kubectl create -f deploy/redis/ $ kubectl create -f deploy/django/ $ kubectl create -f deploy/celery/
$ kubectl apply -f deploy/postgres/ $ kubectl apply -f deploy/redis/ $ kubectl apply -f deploy/django/ $ kubectl apply -f deploy/celery/
To view the resources on our local cluster, we need to open up the minikube dashboard:
$ minikube dashboard
We can get the same info using kubectl:
$ kubectl get pods NAME READY STATUS RESTARTS AGE celery-beat-7c67bb87b8-p5vcj 1/1 Running 0 1h celery-worker-7f4554cbd5-vtxv5 1/1 Running 0 1h django-6c6b4c979f-lzxg8 1/1 Running 0 1h django-migrations-fzdsj 0/1 Completed 0 1h postgres-69c85f5989-fwmkz 1/1 Running 0 1h redis-dc494cb76-r88dz 1/1 Running 0 1h $ kubectl get services NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE django-service NodePort 10.99.185.28 <pending> 8000:30236/TCP 50m kubernetes ClusterIP 10.96.0.1 <none> 443/TCP 4h postgres-service ClusterIP 10.105.67.218 <none> 5432/TCP 50m redis-service ClusterIP 10.101.60.2 <none> 6379/TCP 50m
For debugging, we can use:
$ kubectl describe pod celery-beat-559b598c74-fn6sp $ kubectl logs celery-beat-559b598c74-fn6sp
$ minikube service django-service --url http://192.168.99.100:32289
Source files - kubernetes_django/minikube-3/
Kubernetes, Local to Production with Django: 4 - Celery with Redis and Flower
Asynchronous Tasks with Celery + Redis in Django
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Ph.D. / Golden Gate Ave, San Francisco / Seoul National Univ / Carnegie Mellon / UC Berkeley / DevOps / Deep Learning / Visualization