This is a microservice application built using Flask and deployed on Kubernetes. It is designed to demonstrate how to build and deploy microservices on a Kubernetes cluster.

• Deploy a scalable Flask application and MongoDB on a Kubernetes cluster.

To install and run the application on your Kubernetes cluster, follow these steps:

1. Clone this repository to your local machine.
2. Navigate to the project root directory.
3. Create a Kubernetes deployment and service by running the following command:

kubectl apply -f kubernetes.yaml

4. Verify that the deployment and service have been created successfully by running the following command:

kubectl get deployments,services

5. If everything is working properly, you should see the name of your deployment and service listed in the output.

To use the microservice, you can send HTTP requests to the service's endpoint. Here's an example request:

curl http://<service-ip>:<service-port>/tasks

This should return a JSON response with a greeting message.

• Install Kubernetes and initialize a cluster using kubeadm.
• Set up kubectl for cluster management.

• Develop a Flask application serving as the microservice.
• Connect the application to MongoDB.

• Create Dockerfiles for both Flask and MongoDB.
• Build and test Docker images locally.

• Create YAML files for deployments and services.
• Deploy the components to the Kubernetes cluster.

• Implement Horizontal Pod Autoscaling.

• Set up Prometheus and Grafana for monitoring.
• Use Fluentd and Elasticsearch for logging.

• Implement best practices for troubleshooting common issues.