Cloud Native Application Development is a one way of speeding up building web applications, using micro-services, containers and orchestration tools. First, let’s see what is a cloud and what cloud native means.

What is Cloud Native?

There are many definitions for cloud and cloud native architecture. First let’s check the definitions given by RedHat via their Understanding cloud computing and Understanding cloud-native applications articles.

📖 Clouds are pools of virtual resources (such as raw processing power, storage, or cloud-based applications) orchestrated by management and automation software so they can be accessed by users on-demand through self-service portals supported by automatic scaling and dynamic resource allocation.

📖 Cloud native applications are a collection of small, independent and loosely coupled services which are specifically designed to provide a fast and consistent development and automated management experience across private, public, and hybrid clouds.

I think, now you are quite clear about cloud and cloud native applications. The definition provided by Cloud Native Computing Foundation, explains that how Cloud native applications achieve a fast and consistent development.

📖 Cloud native computing uses an open source software stack to deploy applications as microservices, packaging each part into its own container, and dynamically orchestrating those containers to optimize resource utilization. Cloud native technologies enable software developers to build great products faster.

💯 Explaining the concepts behind cloud native architecture is beyond the purpose of this. So, for more details, I would like to highly recommend you to read the first chapter of Cloud Native DevOps with Kubernetes which is written by John Arundel and Justin Domingus. You can get this as a free e-book via NGINX resources.

The First Step

This is the very beginning of this project. So, as the first step, we are going to discuss about "How to build a Dockerized RESTful API application using Go". In the future discussions, we will discuss about Kubernetes and how to deploy our application in a cloud environment.