hello-world

Command for local development

• CREATE LOCAL VIRTUAL ENVIRONMENT --> conda create -n <env_name> python=3.9
• ACTIVATE VIRTUAL ENVIRONMENT --> conda activate <env_name>
• EXPORT ALL THE ENVIRONMENT VARIABLES --> source <env_file_path>
• RUN THE MAIN SHELL SCRIPT --> cd src && .main.sh or cd src && source main.sh
• EXPORT ENV VARIABLES AND RUN THE SCRIPT WITH SINGLE COMMAND --> eval $(cat ../config/staging.env) bash main.sh

Command for local deployment

• BUILD DOCKERFILE --> DOCKER_BUILDKIT=0 docker build -t <image_name> .
• RUN IMAGE --> docker run -it -p <local_port:container_port> --env-file <file_path> --name <container_name> image_name

Push docker image to registry

• Local registry -->
• Docker Hub -->

Commands for k8s deployment

• CONFIGMAP : -kubectl create configmap <config_name> --from-file=<file_path>
• ADD DEPLOYMENT : A deployment is responsible for keeping a set of pods running.
  -kubectl apply -f <deployment_file_path>
• SERVICE : A service is responsible for enabling network access to a set of pods.
  -kubectl apply -f <service_file_path>
• HPA : -kubectl apply -f <hpa_file_path>

Test k8s deployment locally

Port forward for the service which has been deployed to k8s with one of the following commands:

• kubectl port-forward service/<service_name> <local_port:k8s_port>
• kubectl port-forward deployment/<deployement_name> <local_port:k8s_port>

Refer to Fast API Deployment in K8s blog for fast api to K8s deployment steps.