Docker

So the next steps after generating tests and testing the application is as follows - Build Dockerfile for the app and run the app locally with redis and mongodb running locally or via docker After testing them locally, run them inside docker-compose to understand docker networking and DNS resolution Build docker images with proper tags to be used for kubernetes deployment and upload to Dockerhub Install minikube and run it locally Generate YAML files for MongoDB and Redis with deployment and services configuration and run them stateless Note their FQDN <service>.<namespace>.svc.cluster.local and add them as K8s env variables to be used Create YAML file for FastAPI application with environment set and with deployment, service and ingress and apply it Check the application running and access it via command minikube tunnel Deploying to local Kubernetes Make sure to install minikube as per their documentation - https://minikube.sigs.k8s.io/docs/start/?arch=%2Fwindows%2Fx86-64%2Fstable%2F.exe+download ...

Aim Design, develop and deploy a working url shortener service which is able to handle huge number of requests and processing with high availability and fault tolerance. Best code practices have to be followed with optimisations made on asynchronous implementation, tests, max retries, high availability etc We start with building a local app to be deployed on docker with mongodb and redis running locally or on docker. This will then be shifted to kubernetes cluster once it works with tests. ...