An AWS instance is created and Jenkins is installed on that server. On the AWS management console, in the security section, the security group permissions are accessed and port 8080 (the port in which the Jenkins server runs) is given anywhere or private IPv4 access using inbound rules. The server's private IP is then used to access the port 8080. When the Jenkins dashboard appears, we must install the GitHub Integration plugin. A new job is created as a Pipeline project of deployment. A suitable description is written, the project URL from the Git Hub, the repository URL is added and the branch name is specified. The GitHub hook trigger for GITScm polling is selected as the build trigger.

 docker-compose down
 docker-compose up -d

The following code is used for running the container of the todo-app and this code is written in the Execute Shell and changes are applied.

In the project GitHub repo settings, webhook options are selected and a new webhook is added. A URL is added in the following format

http://<private -ip>:8080//github-webhook/ 

The content type is selected as application/JSON and it is saved.

The purpose of webhook is that, every time a new pipeline is created the Jenkins server hits the repo so that any change in the code is also reflected in the creation of the pipeline and running of the application.

Created an AWS t2.medium instance for using Kubernetes by installing minikube in Linux with the help of the following commands :

 curl -LO https://storage.googleapis.com/minikube/releases/latest/minikube-linux-amd64
 sudo install minikube-linux-amd64 /usr/local/bin/minikube

To start your cluster :

 minikube start

Now using the vim text editor in Linux YAML scripts are written for the pod, which is the smallest unit in a K8s cluster, deployment file for creating a deployment for the django-todo app, service file for creating a service, and ingress file for hosting.

To run the files the following command is used :

 kubectl apply -f <file_name>

If the file contains a namespace, which is a kind of tag to group certain files, the following command is used :

 kubectl apply -f <file_name> -n <namespace_used>

For viewing the running pods, deployments, and services the following commands are used :

 kubectl get pods

 kubectl get deployments

 kubectl get services

A basic shell script in Linux which :

• Greets the user according to the time of the day using conditional statements
• Provides the information about :
  • Date and time
  • Uptime of the server
  • The last logins
  • The disk space and RAM
  • Utilization and the top CPU Process