Udagram Image Filtering Application

Udagram is a simple cloud application developed alongside the Udacity Cloud Developer Nanodegree. It allows users to register and log into a web client, post photos to the feed, and process photos using an image filtering microservice.

The project is split into two parts:

• Frontend: Angular web application built with Ionic Framework.
• Backend RESTful API: Node-Express application.

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Containers and Microservices

1. Dividing an Application into Microservices

   • The application is structured into microservices, as shown in the project directory.

2. Building and Running a Container Image Using Docker

   • The Docker image is available in my Docker Hub repository.

   

Independent Releases and Deployments

1. CI/CD Pipeline with CircleCI

   • The project uses CircleCI for continuous integration and continuous deployment.
   • The configuration can be found in the .circleci directory.

   

Service Orchestration with Kubernetes

1. Deploying Microservices on AWS using Kubernetes

   • The microservices are successfully deployed on a Kubernetes cluster.
   • The output of kubectl get pods indicates that the pods are running successfully with the STATUS value Running.

   

2. Service Descriptions

   • The output of kubectl describe services confirms that no sensitive information such as database passwords is exposed.

   

   

   

   

3. Configuring Scaling and Self-Healing

   • The Horizontal Pod Autoscaler (HPA) is configured, and its status is shown below.

   

Debugging, Monitoring, and Logging

1. Using Logs for Debugging

   • The logs from the backend API pods capture user activity and API call events, which are crucial for debugging.