Building A Cloud Native Application

Intermediate
4m
3,223
4.2/5

This lesson is designed to help you master the skills of designing and building cloud-native applications.

Observe first hand the end-to-end process of building a sample cloud-native application using React, Go, MongoDB, and Docker. By taking this lesson you'll not only get to see firsthand the skills required to create a robust, enterprise-grade, cloud-native application, but you'll also be able to apply them yourself as all code and deployment assets are available for you to perform your own deployment:

Source Code:
https://github.com/cloudacademy/voteapp-frontend-react
https://github.com/cloudacademy/voteapp-api-go

Full Install Script:
https://github.com/cloudacademy/language-vote-app

 

Learning Objectives

What you'll learn:

  • Understand the basic principles of building cloud-native applications
  • Understand the benefits of using React for frontend web development
  • Understand the benefits of using Go for backend API development
  • Understand the benefits of using MongoDB as a database system
  • And finally, you’ll learn how to package and run microservices as lightweight containers using Docker

Demonstration

This training lesson provides you with several hands-on demonstrations where you will observe first hand how to

  • Build a React-based web frontend
  • Build a Go-based API
  • Deploy and configure a MongoDB database
  • Deploy the full end-to-end application to Docker running locally

Prerequisites

  • A basic understanding of web-based software development
  • Previous exposure to containers and containerization - in particular, docker

Intended Audience

  • Anyone interested in learning how to architect cloud-native applications
  • Anyone interested in using modern development tools such as React, Go, MongoDB and Docker
  • Anyone interested in containerization
  • DevOps Practitioners
About the Author
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Jeremy Cook, opens in a new tab
Content Lead Architect
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Jeremy is a Content Lead Architect and DevOps SME here at Cloud Academy where he specializes in developing DevOps technical training documentation.

He has a strong background in software engineering, and has been coding with various languages, frameworks, and systems for the past 25+ years. In recent times, Jeremy has been focused on DevOps, Cloud (AWS, Azure, GCP), Security, Kubernetes, and Machine Learning.

Jeremy holds professional certifications for AWS, Azure, GCP, Terraform, Kubernetes (CKA, CKAD, CKS).

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