Deploy Python Application And Kubernetes

What Are The Benefits Of Deploying A Python Application On Kubernetes?

Deploying the Python application on top of Kubernetes facilitates the features such as scalability, flexibility, and efficient resource utilization.

How Do I Containerize My Python Application For Kubernetes Deployment?

Create a Dockerfile to your python application and build a Docker image to it.

What Is The Purpose Of A Kubernetes Deployment Object?

A Kubernetes Deployment object manages the lifecycle of your application with providing featues such as scaling, updates, and rollbacks.

How Can I Expose My Python Application Running On Kubernetes To External Traffic?

Expose your Python application by creating a Kubernetes Service with a LoadBalancer type to route external traffic to your application’s pods.

In today’s IT world we are moving from the monolithic to microservice architecture to make our applications highly available and scalable to bring fault tolerance. In this transformation, containerization i.e., containerizing the application are a fundamental aspect of this micro services. In this article we will guide you how to deploy a python application in Kubernetes.