/Large-File-Upload-Using-Celery

Primary LanguagePython

Large-File-Upload-Using-Celery

Technology Stack used:

Python
Gunicorn
Flask
RabbitMq
Redis
Celery
Flower
ElasticSearch
Kibana

Prerequisite:

  • kompose
  • kubectl
  • for local setup:
    • minikube
    • oracle VM

Run commands:

1. start minikube
2. Run these commands where you have downloaded the docker-compose.yaml
	- kompose convert (to convert docker-compose to kubernetes)
	- kompose up
3. kubectl get pods (wait for all pods to start)
4. kubectl get services
5. kubectl expose deployment worker --name=social --type=NodePort
6. kubectl expose deployment elasticsearch --name=es --type=NodePort
7. minikube ip (get ip addr of machine)
8. kubectl describe service social (get NodePort port-1  for gunicorn flask)
9. kubectl describe service social (get NodePort port-2  for flower)
10. kubectl describe service es (get NodePort port-2  for elasticsearch)

Visit website:

1. Flask web server - <minikubeip>:<NodePort port-1>
2. Flower CeleryMonitoring - <minikubeip>:<NodePort port-2>
3. ElasticSearch - <minikubeip>:<NodePort port-2>/docs/_search