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Deploying a Node.js Application

Deploying a Node.js Application
Hostman Team
Technical writer
Node.js
26.01.2024
Reading time: 4 min

Node.js is a JavaScript runtime environment for running server-side code. You can use it to write any server-side script for web applications. This tutorial will show you how to deploy a Node.js application on a Hostman cloud server with a Linux-based OS.

Installing the software

First, you must prepare the host for the web application deployment. In this guide, we will use an Ubuntu machine as an example. 

First, get the latest updates:

sudo apt-get update

Then install Node.js:

sudo apt-get install nodejs

And install npm to manage Node.js packages:

sudo apt-get install npm

To make sure the software installation was successful, check the versions of Node.js and npm:

nodejs -v
npm -v

Transferring the code to the server

Deploying a Node.js application starts with moving the project code to the host. The most convenient way to do this is to use Git. 

Make sure you have Git installed on Ubuntu:

git --version

If Git is not installed, install it:

sudo apt install git

Suppose, the project code is stored on GitHub. Clone it to the server this way:

git clone https://github.com/contentful/the-hostman-app.nodejs

After the git clone command, specify the repository where the project is stored.

Installing the dependencies

For a Node.js application to work properly, the deployment must also include the installation of dependencies—all the packages used in the project.

Go to the root directory of your project and run:

npm install

This command will check the package.json file in the project and install the packages needed for production. After adding them to the server, you can run the application using the command:

node app.js.

Instead of app.js, specify the name of the main file of your Node.js application.

Managing application launch and updates

Your Node.js application is already running on the server. But as soon as you close the terminal, it stops. Besides, your website is not automatically updated when you change the application code. 

You can solve this problem by using the pm2 process manager. This package will make the application run in the background. In addition, the manager will monitor the code and automatically restart the server whenever you apply changes using the --watch directive. 

Install pm2 with the command:

sudo npm install pm2 -g

Then start the Node.js server using pm2:

sudo pm2 start app.js --name "web-app" --watch

In the example above, we used the name "web-app". This will be the name of the running process. You can use any other name you want. The --watch directive indicates that pm2 needs to restart the application when the source file changes. Now all updates you make in the project code will be immediately visible in production. 

There is one more thing left to do: automatically launching the web application on server startup/reboot. To do this, run the following commands:

sudo pm2 startup
sudo pm2 save

You only need to run the startup command once to generate the desired startup parameters. The save command tells pm2 to save the currently running processes. 

Now the server will continue to run regardless of whether you close the terminal. After restarting the system, all necessary processes will also be started automatically.

You can learn more about how pm2 works from the official documentation.

Conclusion

In this article, we have completed a Node.js deployment to an Ubuntu server. The project runs smoothly and automatically updates whenever changes are made. However, this was a very simple example of using Node.js. It is suitable for deploying home and training projects. 

You may also need additional customization when deploying, for example, installing SSL certificates or changing the Nginx configuration. The final list of actions required to deploy an application in production depends on what stack it uses and its dependencies and connections: databases, web servers, and automation utilities.

Node.js
26.01.2024
Reading time: 4 min

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Using node-cron to Automate Tasks in Node.js

In many projects, there is a need to automate the execution of functions or scripts at specific times. To address this need in Node.js, you can use the node-cron library. In this article, we’ll cover how to install the package, explore best practices, build a simple project, and deploy it to the cloud. What Are Cron and node-cron? Cron is a task scheduler used in Unix-like operating systems (such as Linux) that allows you to automatically run commands or scripts on a schedule. The schedule is written in crontab format, where each line describes the time and command to be executed. node-cron is a library for Node.js that implements cron functionality directly in JavaScript applications. It allows you to create tasks that run on a given schedule in real-time in a selected time zone, just like classic cron in Unix systems. Key Advantages of node-cron: Easy to integrate into existing Node.js projects Dynamic control over tasks Supports the same scheduling format as the classic Cron node-cron Syntax The syntax of node-cron is similar to traditional cron: Valid field values: Field Values Seconds 0–59 Minutes 0–59 Hours 0–23 Day of Month 1–31 Month 1–12 (or names) Day of Week 0–7 (or names, 0 or 7 = Sun) Using Multiple Values const cron = require('node-cron'); cron.schedule('1,2,4,5 * * * *', () => { console.log('Runs at minute 1, 2, 4, and 5'); }); Using Ranges const cron = require('node-cron'); cron.schedule('1-5 * * * *', () => { console.log('Runs every minute from 1 to 5'); }); Using Step Values Step values can be used with ranges or asterisks by adding / and a number. Example: 1-10/2 is the same as 2, 4, 6, 8, 10. You can also use it after *, e.g. */2 to run every 2 minutes. const cron = require('node-cron'); cron.schedule('*/2 * * * *', () => { console.log('Runs every 2 minutes'); }); Using Names for Months and Days You can use full names for months and days of the week: const cron = require('node-cron'); cron.schedule('* * * January,September Sunday', () => { console.log('Runs on Sundays in January and September'); }); Or abbreviated names: const cron = require('node-cron'); cron.schedule('* * * Jan,Sep Sun', () => { console.log('Runs on Sundays in January and September'); }); cron.schedule Method The main method in node-cron is schedule(), which is used to set up a task. It takes a cron expression, the task function, and an optional configuration object: scheduled: whether the task is started automatically (Boolean) timezone: the time zone the cron will follow (String) Example: const cron = require('node-cron'); cron.schedule('0 1 * * *', () => { console.log('Will run at 01:00 Cyprus time'); }, { scheduled: true, timezone: "Europe/Cyprus" }); ScheduledTask Methods You can manage the state of a scheduled task using: start() — starts a stopped task stop() — stops a running task Starting a task: const cron = require('node-cron'); const task = cron.schedule('* * * * *', () => { console.log('Stopped task is now running'); }, { scheduled: false }); task.start(); Stopping a task: const cron = require('node-cron'); const task = cron.schedule('* * * * *', () => { console.log('Will run every minute until stopped'); }); task.stop(); Setting Up the Working Environment Let’s set up our environment for working with Node.js and node-cron. Installing Node.js and npm To begin local development, you need to install a recent version of Node.js (we recommend v22.14.0 LTS). This will install npm (Node Package Manager). For Windows: Go to the official website and download the installer. Run it and follow the installation instructions. For Linux / macOS: In the terminal, run: curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.40.1/install.sh | bash \. "$HOME/.nvm/nvm.sh" nvm install 22 After installation, verify everything with: node -v && npm -v Make sure the versions of Node.js and npm display correctly. Setting Up the Project Directory Create a new directory for your project and navigate into it: mkdir node-cron-project && cd node-cron-project Initialize the project: npm init -y Install node-cron: npm install --save node-cron Basic Example of Using node-cron Let’s build a simple but interesting project using the node-cron library. 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Create the project directory: cd /home && mkdir nodemailer 3. Upload your files (app.js and package.json) On Windows, use FileZilla. On Linux/macOS, use: rsync -av --exclude="node_modules" ./ root@166.1.227.189:/home/nodemailer Explanation: --exclude="node_modules" — skip uploading installed libraries ./ — source directory root@166.1.227.189:/home/nodemailer — target path on the server 4. SSH into the server and verify the files: cd /home/nodemailer && ls 5. Install dependencies: npm install 6. Run the script: node app.js Check if the emails are being sent correctly. If there’s an issue, make sure port 465 (SMTP) is open on the server. If not, contact support to open it. 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How to Install and Use Yarn Package Manager for Node.js

Yarn is an efficient tool for managing dependencies in Node.js-based projects. It is known for its high speed, security, and ease of use. What is Yarn and Why Use It? Yarn is an alternative to the standard npm (Node Package Manager). It is designed to handle packages and projects built on Node.js. Yarn offers several advantages over npm: Speed: Yarn downloads packages in parallel, significantly reducing installation time. Security: The use of a yarn.lock file helps prevent version conflicts. Deterministic Builds: Ensures identical package versions across different machines. User-Friendly Interface: Cleaner command syntax and additional tools for dependency management. If your project involves working with many packages and dependencies, using Yarn can greatly simplify the task. It allows for faster and more secure package installations while making dependency management more predictable — a valuable benefit for team-based projects. Comparison of Yarn and npm Yarn's advantages make it particularly appealing for developers, especially in large-scale projects. Feature Yarn npm Installation Speed Faster thanks to caching Slower Dependency Handling Deterministic builds Potential version conflicts Lock File yarn.lock package-lock.json Ease of Use Simplified syntax More standard interface Installing Yarn Before installing Yarn, ensure that Node.js and npm are installed: Open the terminal or command prompt. Run the following commands to check the versions of Node.js and npm: node -vnpm -v If Node.js or npm is not installed, download them from the official Node.js website. You may also find our installation guide helpful. To install Yarn globally, run: npm install -g yarn Check if Yarn was installed successfully: yarn --version If the command returns the version number, Yarn has been installed correctly. Yarn Commands Yarn's intuitive syntax makes it easy to manage your project dependencies efficiently. Project Initialization To get started with Yarn, initialize your project to create a package.json file containing project and dependency information. Navigate to your project directory: cd your-project-directory Run the following command and follow the prompts: yarn init This will generate a package.json file with basic project settings. Installing Packages To install a single package: yarn add <package-name> This adds the specified package to your project. To install a package as a development dependency: yarn add <package-name> --dev This is useful for packages required only during development. To install a specific version of a package: yarn add <package-name>@<version> This allows you to select the desired package version. Installing All Dependencies If the project already contains a package.json or yarn.lock, run: yarn install This is helpful when cloning a project from a repository to quickly set up the environment. Removing Packages To remove a package from your project and update package.json, use: yarn remove <package-name> Updating Dependencies To upgrade packages to their latest versions, run: yarn upgrade This ensures your project uses the most current versions. Dependency Security Audit To identify vulnerabilities in your project dependencies: yarn audit This helps detect and address potential security threats. Caching Yarn leverages caching to speed up subsequent package installations. To clear the cache: yarn cache clean This command can be useful if you encounter issues during package installation. Conclusion Yarn is a modern tool for managing dependencies in Node.js projects. Its speed, security features, and intuitive interface make it an excellent choice for developers.
10 February 2025 · 3 min to read
Node.js

Difference Between Polling and Webhook in Telegram Bots

When developing Telegram bots using Node.js, there are two main methods for receiving user messages: Polling and Webhook. Both serve the purpose of handling incoming requests, but each has its unique features, making them suitable for different scenarios. What is Polling? Polling is a method of fetching updates from the Telegram server by periodically sending requests. The bot sends requests at specific time intervals to check for new messages or events. There are two types of polling: Long Polling and Short Polling. Long Polling In Long Polling, the bot sends a request to the server and waits for a response. If there are no new messages, the server holds the request open until a new message arrives or the timeout period ends. Once the bot receives a response, it immediately sends a new request. 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This method is less efficient because it generates more network requests and consumes more resources. In this case, the bot constantly requests updates from the server without keeping the connection open for a long time. This can lead to high network usage, especially with heavy traffic. Here’s an example of a bot using Short Polling: const TelegramBot = require('node-telegram-bot-api'); const token = 'TOKEN'; // Create a bot instance with Short Polling enabled const bot = new TelegramBot(token, { polling: true }); bot.on('message', (msg) => { const chatId = msg.chat.id; const text = msg.text; bot.sendMessage(chatId, `You wrote: ${text}`); }); bot.onText(/\/start/, (msg) => { const chatId = msg.chat.id; bot.sendMessage(chatId, 'Hello! I am a bot using Short Polling.'); }); What is Webhook? Webhook is a method that allows a bot to receive updates automatically. Instead of periodically polling the Telegram server, the bot provides Telegram with a URL, where POST requests will be sent whenever new updates arrive. This approach helps to use resources more efficiently and minimizes latency. In the following example, the bot receives requests from Telegram via Webhook, eliminating the need for frequent server polling. This reduces server load and ensures instant message handling. const TelegramBot = require('node-telegram-bot-api'); const express = require('express'); const bodyParser = require('body-parser'); const token = 'TOKEN'; // Your server URL const url = 'https://your-server.com'; const port = 3000; // Create a bot instance without automatic polling const bot = new TelegramBot(token, { webHook: true }); // Set the Webhook URL for your server bot.setWebHook(`${url}/bot${token}`); // Configure the Express server const app = express(); app.use(bodyParser.json()); // Request handler for incoming updates from Telegram app.post(`/bot${token}`, (req, res) => { bot.processUpdate(req.body); res.sendStatus(200); }); bot.on('message', (msg) => { const chatId = msg.chat.id; bot.sendMessage(chatId, `You wrote: ${msg.text}`); }); // Start the server app.listen(port, () => { console.log(`Server running on port ${port}`); }); To run the code and start the bot, install the required libraries: npm install node-telegram-bot-api express Server Setup We need to set up a server to work with Webhook. We'll use Hostman for this. Step 1: Set Up a Cloud Server Log in to your Hostman control panel and start by creating a new project. Next, create a cloud server. During the server creation process, select the Marketplace tab and choose Node.js. When the server starts, Node.js will automatically be installed. Choose the nearest region with the lowest ping. You can choose the configuration according to your needs, but for testing purposes, the minimum configuration will suffice. In the Network settings, make sure to assign a public IP. In the Authorization and Cloud-init settings, leave them unchanged.  In the server's information, specify the server name and description, and select the project created earlier. Once all settings are configured, click on the Order button. The server will start, and you will receive a free domain. Step 2: Install SSL Certificate Since Telegram's API only works with HTTPS, you need to install an SSL certificate. For this, you will need a registered domain name. To set up the web server and install the certificate, execute the following commands sequentially: Update available package lists: sudo apt update Create and open the Nginx configuration file: sudo nano /etc/nginx/sites-available/your_domain Inside this file, add the following configuration: server { listen 80; server_name your_domain; location / { proxy_pass http://localhost:3000; proxy_http_version 1.1; proxy_set_header Upgrade $http_upgrade; proxy_set_header Connection 'upgrade'; proxy_set_header Host $host; proxy_cache_bypass $http_upgrade; } } Replace your_domain with your actual domain name in this file and throughout the console. Create a symbolic link to the file: sudo ln -s /etc/nginx/sites-available/your_domain /etc/nginx/sites-enabled/ Restart Nginx: sudo systemctl restart nginx Install certbot to create SSL certificates: sudo apt install certbot python3-certbot-nginx Use certbot to configure the SSL certificate: sudo certbot --nginx -d your_domain Replace your_domain with your actual domain name. Examples of Using Polling and Webhook Before choosing a method for receiving messages, it is important to consider the characteristics of each approach and its applicability in different situations. Polling: Local Development: When developing and testing a bot on a local machine, using Long Polling allows for easy updates without the need to set up a server. Small Projects: If you are creating a bot for a small group of users or for personal use, and you do not have strict requirements for response time, Polling will be sufficient. Low Traffic Projects: If your bot is not expecting a large number of messages, using Short Polling can be appropriate as it is simple to implement. Webhook: Production Applications: For bots working in a production environment where immediate responses to events are important, Webhook is the preferred choice. For example, bots that handle payments or respond to user queries in real time should use Webhook to ensure high performance. High Traffic Systems: If you're developing a bot that will serve a large number of users, Webhook will be more efficient since it reduces server load by eliminating continuous requests. Systems with Long Operations: If your bot performs long operations (such as generating reports or processing data), Webhook can be used to notify users once these operations are complete. Comparison of Polling and Webhook To better understand the differences between the two approaches, here is a comparison table of their characteristics: Characteristic Polling Webhook Method of Data Retrieval Periodic requests to the Telegram server Automatic sending of updates to a specified URL Setup Simple setup, no additional resources required Requires HTTPS server setup and SSL certificate Response Speed May have slight delays due to polling intervals Near-instant message reception Resource Usage Continuously requests updates, taxing the server More resource-efficient since updates come automatically Infrastructure Requirements Does not require a public server Requires a public HTTPS server Reliability Does not depend on the availability of an external server Can be unavailable if there are issues with the HTTPS server Setup Issues in Local Environment Can be used locally for testing Difficult to use without public access Conclusion The choice between Polling and Webhook depends on the specific needs of your project. Polling is a simple and quick way to develop, especially in the early stages, while Webhook offers more efficient message processing for production environments.
31 January 2025 · 7 min to read

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