Top 7 Ways to Improve Your Node.js App Performance Drastically

Improve your node.js app performance using these top 7 tips + Bonus tip. If you searning how to enhance NoeJs app performance,...

Written by Niel Patel · 6 min read >
ways to improve Node.js performance at scale

Web applications are complex, and performance is one of the most critical factors in determining how well an application performs. JavaScript is a programming language used to build websites and web applications. On the server side, JavaScript enables you to develop highly performant applications that can be deployed anywhere — on the web, on a web server, on a platform such as a mobile app, or even in the cloud.

7 ways to improve Node.js performance at scale

This versatility and flexibility allow you to develop applications that suit your needs and the context in which they will be used. However, it can be difficult for node.js development company to know where to focus when optimizing performance. 

Node.js is a solution for executing JavaScript code outside a browser. It is a runtime environment for building web and server-side applications that use JavaScript. It provides the functionality of a programming language, such as variables and functions, which can be used to build applications and add functionality to websites. Instead of using JavaScript directly in a web browser, you can use it through Node.js.

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This article provides some best practices for improving web application performance, emphasizing Node.js app performance.

1. Measure and Monitor Performance

When building web applications, one of the first things developers tend to focus on is performance. However, it can be challenging to determine where to focus when improving performance. Measurement and monitoring are crucial to understanding performance in a web application, and this article provides some best practices for measuring and monitoring the performance of a web application built with Node. 

You can measure and monitor your existing application’s performance using browser performance tools, performance monitoring tools, and synthetic benchmarks. The following are a few considerations for making web apps scalable.

  • Endurance test·         
  • Scalability testing·         
  • Spike testing·        
  • Stress testing·    
  • Volume testing

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2. Load Balancing

When getting node js development services to build an application, one of the primary challenges is creating performant applications that can handle many incoming connections. To measure the performance of an application built with Node.js, you first need to instrument the application to generate metrics.

One of the most common methods for balancing traffic in a node.js app is to use a load balancer. Load balancing spreads traffic across multiple backend servers so that the app experiences minimal downtime when one of the backend servers fails. Load balancers are used for this purpose by dispersing the traffic across multiple backend servers so that the app experiences minimal downtime when one of the backend servers fails. This is done by placing the app’s frontend, API, and other backend requests on the same server.

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3. Optimize Data Handling Methods

Node.js apps rely on the server’s full power, sometimes leading to performance issues. One of the most common performance issues developers face is server overload. Instead of processing requests quickly and efficiently, the server is bogged down by too many requests, causing latency and reduced application functionality. Optimizing the server for better performance is the best way to avoid these issues.

CPU and I/O bound tasks, such as a database query or a slow API request, often cause slower-than-desired performance in Node.js applications. Because Node.js runs on the server, it’s often the first to experience performance issues when it is heavily loaded. The best way to avoid these issues is to use better practices, such as asynchronous programming techniques and keeping the server as light as possible. When the server is light, it can respond to user requests much quicker, causing less load on the server and reducing the amount of time the application is unresponsive to user input.

On the other hand, the best way to reduce the amount of time a Node.js application is unresponsive to user input is to reduce the amount of time the application is unresponsive while waiting for a response from an API request. This can be accomplished by using asynchronous programming techniques when possible. When an API request is issued, the response is often retrieved in the background asynchronously to reduce the amount of time the application is unresponsive to user input. This also reduces the time the server must wait for the response, allowing it to serve other requests more quickly.

4. Latency reduction Via Caching

Another common strategy for enhancing the performance of web applications is server-side caching.  A cache is a high-speed storage layer that serves as a temporary storage location for data that is often accessed. Caches reduce the amount of data that needs to be transmitted between the client and the server and improve web application performance. They are often implemented as a part-time or in-memory storage system that serves as a temporary storage location for users who frequently request data. The most common type of cache is the HTTP caching proxy, a software or hardware system that acts as an intermediary between the client and the server and caches responses so that they can be served from the cache instead of being re-requested from the server.

When a response to a request is stored on the server instead of being immediately returned to the client, it can be stored on the server in a cache. The next time the same response is required, it will be served from the cache instead of being re-requested from the server. This reduces the time the server is unresponsive to user input and improves the application’s responsiveness.

5. Utilize SSL/TLS and HTTP/2

Web applications today require a great deal of bandwidth to function correctly. Many websites today rely on high-bandwidth connections such as fiber optic cable or dedicated broadband internet connections to function correctly. Unfortunately, the amount of bandwidth required to serve modern web applications has led to an internet environment that is primarily accessed on the internet via a browser rather than a web application. This has led to a situation where the internet is accessed mainly on the web via a browser rather than a web application, which has negative consequences for the future of the internet.

Instead of making multiple trips to the web to find the information you need, using HTTP/2 in a Node.js-based web application will enable you to provide users with a better experience and reduce bandwidth usage. By intelligently utilizing multiple connections to the web, such as mobile data and Wi-Fi, HTTP/2 will allow your application to load pages faster and reduce the amount of data that needs to be transferred. This will enable you to provide a better user experience and increase the number of users who will continue using your application.

6. Using Timeouts

One of the most common mistakes when developing Node.js applications is to forget to add timeouts to the asynchronous calls in the code. This can lead to slow or even hang applications when interacting with a database or external API. But other problems can also arise when you don’t timeout your asynchronous calls, such as causing errors when the code is run in the browser.

Many popular Node.js libraries for making HTTP calls have no default timeout, which means that any remote API can keep your application waiting indefinitely for the requested data. This can be frustrating when you just want to make a simple HTTP call, but it can be a deal-breaker for more complex interactions.

7. Avoid Serving Static Assets with Node.js

The best way to ensure the best performance for your Node.js servers is to use them to serve application code instead of serving static assets like JavaScript, CSS, or image files from your application. Serving application code instead of serving static assets has several advantages:

  • It reduces the number of servers you need to run.
  • It reduces the amount of RAM your application requires.
  • It speeds up the performance of your application since the Node.

You can serve static assets from a separate set of servers or a CDN, which can be scaled independently. This allows you to use the same servers to serve both application code and static assets, giving you the best of both worlds.

Bonus Tip- Clustering to Improve Throughput

When building large-scale web applications, it’s common to scale a single server to serve more traffic horizontally. The most common way to scale a server is to add more instances (also called VMs or containers), which are isolated copies of the same operating system and application. This approach is practical but comes with challenges, such as ensuring all instances are provisioned with the right configuration and running services on multiple cases. Clustering is an approach that takes advantage of the parallel nature of computers to scale a single operating system and application instance across multiple machines.

Clustering your Node.js server is straightforward, with the most common approach being using the cluster module in the standard library. To use the cluster module, you need to install it using npm: $ npm install –save cluster. When you use the cluster module, it creates a Cluster class that abstracts the underlying details of how to connect to other nodes in a cluster. This class allows you to create a Cluster object that represents a single node in the cluster. You can then use the connect method to connect a request to one of the Node’s REPLs.


Above, we have mentioned some sought-after tips to improve Node.js app performance. When you have node.js developers for hire, you shouldn’t forget to conduct performance tests on your system and optimize the results to make the next course of action. 

What makes node JS faster?

The source code can be loaded into the virtual machine and converted into machine code at runtime. It entails that all “hot” functions that are frequently used can be converted to machine code to speed up execution.

How can I optimize API response time in node JS?

1. Caching Your App with Redis.
2. Make sure your query is Optimized.
3. Check All Error Scripts with Logging.
4. Implement HTTP/2.
5. Clustering Your Node.
6. Use Realtime App Monitor to Analysis your App.

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