Deploy Your Own REST API in 30 Mins Using mLab and Heroku
Deploy Your Own REST API in 30 Minutes: A Guide Using mLab and Heroku
Key Highlights:
This tutorial demonstrates building and deploying a RESTful API using the MEAN stack (MongoDB, Express.js, AngularJS, Node.js) on Heroku, with MongoDB hosted on mLab. Learn how to:
- Deploy a REST API rapidly using Heroku's streamlined
git push heroku master
deployment process. - Manage application data efficiently with a MongoDB database provisioned via mLab.
- Implement core CRUD (Create, Read, Update, Delete) operations within your API.
- Develop a user-friendly front-end using AngularJS to interact seamlessly with your API.
- Leverage AngularJS controllers and services for improved data management and user experience.
(Originally published on the Heroku Dev Center)
The MEAN stack's popularity stems from its JavaScript-centric approach, allowing consistent coding across client and server sides. This synergy with JSON (JavaScript Object Notation) – MongoDB's data format – simplifies development. While MEAN excels in browser-based applications, it's equally effective for creating RESTful APIs, crucial for supporting diverse client devices. This tutorial focuses on API creation; AngularJS is included to illustrate front-end integration.
Our example is a simple contact management application. We'll first build the REST API to interact with the MongoDB database, then create an AngularJS web application as a user interface. Finally, we'll deploy the complete application to Heroku. For simplicity, features like authentication and robust data validation are omitted.
Prerequisites:
- A Heroku account (familiarize yourself with Heroku's Node.js deployment if needed).
- Heroku Toolbelt installed.
- Node.js installed.
Project Structure:
The source code (https://www.php.cn/link/ed80be7e22f987619ac49099673ad49f) includes:
-
package.json
: Metadata and dependencies for your Heroku application. -
app.json
: Heroku app manifest (required for the "Deploy to Heroku" button). -
server.js
: Server-side code (Node.js, Express.js, MongoDB driver). -
/public
directory: Client-side files (AngularJS code).
Live Demo:
View a working example here: https://www.php.cn/link/4e79ea6638ba8bc06d414c9fc94760f7
Step-by-Step Guide:
-
Create a New Heroku App:
$ git init $ heroku create
Copy after login -
Create
package.json
: Create this file and add the following:{ "name": "MEAN", "version": "1.0.0", "description": "A MEAN app for managing contact lists", "main": "server.js", "scripts": { "start": "node server.js" }, "dependencies": { "body-parser": "^1.13.3", "express": "^4.13.3", "mongodb": "^2.1.6" } }
Copy after login -
Install Dependencies:
$ npm install
Copy after login -
Provision a MongoDB Database on mLab:
-
Sign up for a free mLab account.
-
Create a new MongoDB database.
-
Obtain the MongoDB connection string.
-
Set the
MONGODB_URI
config variable on Heroku:heroku config:set MONGODB_URI=mongodb://your-user:your-pass@host:port/db-name
Copy after login
-
-
Connect MongoDB and the App Server (
server.js
): Createserver.js
with the database connection code (detailed in the original article). -
Create the RESTful API (
server.js
): Implement the API endpoints (/contacts
,/contacts/:id
) for CRUD operations (detailed in the original article). -
Deploy to Heroku:
$ git add . $ git commit -m "Initial commit" $ git push heroku master $ heroku ps:scale web=1
Copy after login -
Set up Static Files for the Web App: Create the
/public
directory and add the AngularJS code (detailed in the original article). -
Deploy the Web App:
$ git add public $ git commit -m "Add AngularJS frontend" $ git push heroku master $ heroku open
Copy after login
The remaining steps, including detailed AngularJS implementation and further deployment instructions, are available in the original article. This condensed version provides a high-level overview and key code snippets. Remember to replace placeholder values with your actual Heroku app name, mLab credentials, etc.
The above is the detailed content of Deploy Your Own REST API in 30 Mins Using mLab and Heroku. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



Article discusses creating, publishing, and maintaining JavaScript libraries, focusing on planning, development, testing, documentation, and promotion strategies.

The article discusses strategies for optimizing JavaScript performance in browsers, focusing on reducing execution time and minimizing impact on page load speed.

Frequently Asked Questions and Solutions for Front-end Thermal Paper Ticket Printing In Front-end Development, Ticket Printing is a common requirement. However, many developers are implementing...

The article discusses effective JavaScript debugging using browser developer tools, focusing on setting breakpoints, using the console, and analyzing performance.

The article explains how to use source maps to debug minified JavaScript by mapping it back to the original code. It discusses enabling source maps, setting breakpoints, and using tools like Chrome DevTools and Webpack.

There is no absolute salary for Python and JavaScript developers, depending on skills and industry needs. 1. Python may be paid more in data science and machine learning. 2. JavaScript has great demand in front-end and full-stack development, and its salary is also considerable. 3. Influencing factors include experience, geographical location, company size and specific skills.

This tutorial will explain how to create pie, ring, and bubble charts using Chart.js. Previously, we have learned four chart types of Chart.js: line chart and bar chart (tutorial 2), as well as radar chart and polar region chart (tutorial 3). Create pie and ring charts Pie charts and ring charts are ideal for showing the proportions of a whole that is divided into different parts. For example, a pie chart can be used to show the percentage of male lions, female lions and young lions in a safari, or the percentage of votes that different candidates receive in the election. Pie charts are only suitable for comparing single parameters or datasets. It should be noted that the pie chart cannot draw entities with zero value because the angle of the fan in the pie chart depends on the numerical size of the data point. This means any entity with zero proportion

In-depth discussion of the root causes of the difference in console.log output. This article will analyze the differences in the output results of console.log function in a piece of code and explain the reasons behind it. �...
