Learn about developing high-performance backend applications with Go, using tools like Fiber, gqlgen, and apitest. Gain insights into HTTP, REST API, databases, GraphQL, testing, and deployment.

Back End Development with Go Programming Language.png

newv16.tar.gz

Example

Inventory API Local Storage

REST API Test App

Inventory API MySQL

Simple GraphQL

Blog GraphQL Local Storage

Blog GraphQL MongoDB

Simple GraphQL Test

Inventory API MySQL Test

Blog GraphQL MongoDB Test

[DEPLOY] - Inventory API MySQL

[DEPLOY] - Blog GraphQL MongoDB

[DEPLOY] - Simple GraphQL

Blog GraphQL MongoDB- NO AUTH

[SCHEMA ONLY] - Blog GraphQL Local Storage

In modern backend applications, many programming languages can be chosen, including Go—a programming language that provides high performance with concise syntax and can also be used to develop backend applications, including REST API and GraphQL applications. This course will cover many tools that can be used to develop a backend application, including fiber for REST API application, gqlgen for GraphQL application, and apitest for testing purposes.

In this course, you’ll learn about the main concepts of web applications, including HTTP, REST API, databases, and GraphQL. You’ll cover how to develop a backend application and deploy the application as well. 

By the end of the course, you’ll be able to develop a backend application using REST API and GraphQL approach. Also, you’ll be able to test and deploy the backend application that has been developed.

Building a Backend Application with Go

# Introduction

The storage used so far isn’t persistent, and the authentication feature hasn’t been available. Let’s replace it with persistent storage using the MongoDB database and add the authentication feature using the JSON Web Token (JWT) mechanism.


# Define a configuration

> **Note**: The `.env` file is required if a local machine is used. However, it has already been set up for you on the Educative platform.


We start by defining the database configuration, including the database name and the MongoDB URI, inside the .env file. Make sure to define the MongoDB URI based on the type of MongoDB used.


> **Note**: If MongoDB is used locally (or via Docker), the MongoDB URI is `mongodb://localhost:27017`.
>
> If MongoDB Atlas is used, the MongoDB URI is `mongodb+srv://...` (the complete MongoDB URI can be seen in the MongoDB Atlas dashboard page).

```sh
DATABASE_NAME=gqlblog
MONGO_URI=mongodb://localhost:27017
```

Inside the `.env` file, we define the configuration for the JWT, including the JWT secret key and JWT secret key expiration time.

```sh
JWT_SECRET_KEY=mysecretkey
JWT_SECRET_KEY_EXPIRE_MINUTES_COUNT=15
```

# Create a connection to the database

Before creating a connection to the database, we create a helper function to get the value from the `.env` file. We create the helper in the `utils.go` file inside the `utils` directory. This directory is located in the same location in the `server.go` file.


Learn how to implement a GraphQL application with MongoDB Database.

Connect to the MongoDB Database

Course Introduction

Introduction to Web Application

REST API Development

GraphQL Development

Application Deployment

Assessment of Back End Development with Go

Appendix

Connect to the MongoDB Database

Introduction

Define a configuration