Portfolio

Overview:

This is a web application containerized and orchestrated by Docker and Kubernetes respectively. Docker helps containerize the application, bundling the code, libraries, and dependencies into a single image. Kubernetes can help deployment, scaling, and monitoring of these containerized applications.

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Key Features:

1. Docker for Containerization
   • Docker allows building a reproducible environment for the Flask app by creating a Dockerfile that defines the dependencies and the commands needed to run the app. Once built, the container can be run anywhere without worrying about environment-specific issues.
2. Kubernetes for Orchestration
   • Kubernetes simplifies the management of containerized applications by automating their deployment and scaling. After building and pushing the Docker image, Kubernetes can handle the deployment, scaling, and monitoring of the Flask app across multiple nodes.

Tech Stack:

1. Flask
   • Flask was used because it’s able to simplifies the process of building web applications.
2. Docker
   • Docker was used to package the Flask application into a portable container image. This allowed me to encapsulate everything the application needed to run, including the Python environment, dependencies, and application code, into a single Docker image. The main benefit here was that the application could now run consistently across any environment, from a local development machine to a cloud server.
3. Kubernetes
   • Once the Flask application was containerized with Docker, I used Kubernetes to deploy, scale, and manage the application in a cluster. Kubernetes provided powerful features such as automated scaling, load balancing, and self-healing, which made it the ideal tool for managing the deployment in a production environment.
4. Minikube
   • Minikube was used to run Kubernetes locally, allowing me to deploy and manage the Flask application in a Kubernetes cluster on my local machine.

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Links:

• GitHub