Flask Backend Application

This repository contains backend logic and kubernetes manifests. I have used minikube for this project. Installation steps is given in this gist

Guidelines for containerizing backend

• To build image

sudo docker run -t ht-be:0.0.1 -f Dockerfile .

• To run docker container on host machine

sudo docker run -e FLASK_ENV=development -e FLASK_HOST_IP=0.0.0.0 -e=FLASK_HOST_PORT=5001 -e Name=Irtiza -p 1001:5001 ht-be:0.0.1

Guidelines for kubernetes deployment

• Deployment creation

sudo kubectl apply -f deployment.yaml

• Service creation

sudo kubectl apply -f htbe_service.yaml 

• Validating whether application is running or not. Use the command given below from host machine on which kubernetes is running

curl -X GET "http://<ip>:<port>/datetime"

Guidelines for helm charts deployment

• Helm installation guidelines link

• Once the helm is installed, use the command given below to install tiller in kubernetes cluster:

helm init

• To create a helm chart folder:

helm create <app-name>

• To dry run the helm chart for debugging:

sudo helm install --dry-run --debug <chart-directory> 

• To purge a release

sudo helm del --purge <release-name>

• To check the status of a release

sudo helm ls --all <release-name>

• To search a helm package name

sudo helm search <package-name>

• To create a package from the helm charts folder

sudo helm package <helm-charts-package-folder-path>

Important Notes

• Start the minikube cluster in the virtual machine drive in none mode [--vm-driver=none], otherwise services will not be accessible.
• Minikube will pull images from the dockerhub.
• In some cases minikube cluster doesn't work properly, one quick fix is to delete the cluster and restart the minikube cluster.