This documentation provides information on how to interact with the HR service and set up the necessary MongoDB database using Docker. The HR service relies on a MongoDB database for CRUD operations. Please follow the steps below to get started.

Before you can interact with the HR service, you will need to ensure that you have the following prerequisites in place:

1. Docker Engine: Docker is required to create and manage containers, including the MongoDB container for the HR service.

   Install Docker Engine by following the official Docker installation instructions: Docker Installation Guide

Before setting up the HR service, you need to pull the official MongoDB Docker image from Docker Hub. Use the following command to pull the image:

docker pull mongo

This command will download the MongoDB image from Docker Hub and make it available for container creation.

To use the HR service, you need to create a MongoDB database by running a Docker container with MongoDB. Please follow these steps:

1. Open a terminal on your system.

2. Use the following Docker command to pull the official MongoDB image from Docker Hub and run a container with MongoDB. This will also map port 27017 on your local system to port 27017 in the MongoDB container. The -v option is used to create a named volume for the MongoDB data storage.

   docker run -d --rm --name mongo -p 27017:27017 -v mongodbdata:/data/db mongo

   • -d: Run the container in the background.
   • --rm: Remove the container when it stops.
   • --name mongo: Assign a name to the container (in this case, "mongo").
   • -p 27017:27017: Map port 27017 in the container to port 27017 on your local system.
   • -v mongodbdata:/data/db: Create a named volume "mongodbdata" to persist MongoDB data.

3. Use the following command to confirm that the MongoDB container is running:

   docker ps

   This command will display a list of running containers, including the "mongo" container.

With the MongoDB database container running, you can now interact with the HR service. The HR service will use the MongoDB container as its database.

That's it! You have successfully set up the HR service to work with a MongoDB database using Docker.

This documentation provides step-by-step instructions for setting up and interacting with the HR.API application and MongoDB using Docker.

• Docker installed on your machine: Install Docker
• Basic knowledge of Docker commands and concepts

To enable communication between the HR.API and MongoDB container, create a Docker network named hrservicenetwork using the following command:

docker network create hrservicenetwork

Run the following command to list the Docker networks and ensure that hrservicenetwork is listed:

docker network ls

Make sure the MongoDB container is not running before proceeding to the next step. If it is running, kill and remove it.

Build the MongoDB image and set the network tag to hrservicenetwork using the following command:

docker run -d --rm --name mongo -p 27017:27017 -v mongodbdata:/data/db --network=hrservicenetwork mongo

This command creates a MongoDB container named mongo, exposes port 27017, and attaches it to the hrservicenetwork network.

Build the HR.API Docker image using the provided Dockerfile. Make sure you are in the directory (NextGen ERP\src) and run the following command:

docker build -f HR\HR.API\Dockerfile -t hrservice .

Run the HR.API image and set the network tag to hrservicenetwork using the following command:

docker run -it --rm -p 8080:80 -e MongoDBSettings:Host=mongo --network=hrservicenetwork hrservice

This command starts the HR.API container, maps port 8080 to the host machine, sets the MongoDB host environment variable, and connects the container to the hrservicenetwork network.

You have now successfully set up and run the HR.API application and MongoDB in Docker. The HR.API application should be accessible at http://localhost:8080. Ensure that you have the necessary configurations and dependencies in place for a complete and functional application.

This documentation provides step-by-step instructions for deploying and interacting with the HR.API application and MongoDB in a Kubernetes cluster using the provided deployment and service files.

• A running Kubernetes cluster
• kubectl command-line tool installed and configured to connect to your Kubernetes cluster

Apply the HR.API deployment and service files to deploy the HR.API application in your Kubernetes cluster, ensure that you are in the K8S directory(NextGen ERP\src\K8S)..

kubectl apply -f hr-deployment.yaml
kubectl apply -f hr-service.yaml

This will create a Deployment and Service for the HR.API application in your Kubernetes cluster.

Apply the MongoDB deployment and service files to deploy MongoDB in your Kubernetes cluster, ensure that you are in the K8S directory(NextGen ERP\src\K8S).

kubectl apply -f hr-mongodb-depl.yaml
kubectl apply -f hr-mongodb-service.yaml

This will create a MongoDB Deployment and Service in your Kubernetes cluster.

Run the following commands to ensure that the Deployments and Services are running successfully:

kubectl get deployments
kubectl get services

Verify that the Pods associated with the Deployments are in the Running state, and the Services have external IP addresses assigned.

Once the HR.API application and service is deployed, you can access the HR.API application at http://localhost:80.

If needed, you can delete the deployed resources when you are done:

kubectl delete -f hr-deployment.yaml
kubectl delete -f hr-service.yaml
kubectl delete -f hr-mongodb-depl.yaml
kubectl delete -f hr-mongodb-service.yaml