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LAB: Creating and Deploying an Advanced API to Kubernetes

71 Enrolled
4 hour

Course Overview

Context

Scenario:

You have recently joined MediHealth, a healthcare startup focused on developing innovative telemedicine solutions. The company is expanding its services to include a new feature that allows patients to securely register, log in, and access personalized health data through an API. Your task is to create this advanced API, package it into a container, and deploy it to the company’s Kubernetes cluster. This project will help the development team automate deployment and ensure the application is scalable and reliable.

Learning Objectives

  • Develop an advanced REST API application with features like user authentication and database interaction.
  • Containerize the application using Docker.
  • Set up a CI/CD pipeline using Jenkins to automate the build and deployment process.
  • Deploy the containerized application to a Kubernetes cluster.

Prerequisites

  • Basic understanding of programming (e.g., Python).
  • Familiarity with Docker and Kubernetes.
  • Jenkins installed and running.

Détails

  • 1 Section
  • 2 Lessons
  • 4 Hours
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Instructor

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Armel Ngando

4.7
6 Reviews
30 Students
95 Courses

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