Winston Logger is one of the most popular logging libraries for Node.js. This library decouples the different aspects of logging, such as log levels, formatting, and storage, to make them independent and provide an array of different combinations. Additionally, you can implement logging in your application using Node.js streams to minimize performance impact. In this article, we are going to discuss how to install Winston Logger and use it for your Node.js application.

REST is a powerful and ubiquitous paradigm for web application development. It offers huge benefits that can help any service be more efficient, more extensible, and more scalable. Node.js is a popular solution for building fast, efficient, and scalable APIs. It is highly extensible, offering an ecosystem of packages that deliver fast and unified development.

Are you in a dilemma about how to go ahead with your next project? Have questions related to which one is better if we compare Node.js vs Java and the major difference between the two. To bring to your notice, two prominent languages have emerged as popular choices for building robust and scalable applications: Node.js and Java.

We just shared big news about the open-sourcing of our Node.js Runtime and the release of our AI Copilot for Node, both requiring a big role from our infrastructure (Infra) team. They are the team behind the scenes, dedicated to delivering top performance, and have been instrumental in maintaining our reputation for fast, stable, and secure delivery of our SaaS product and Binary Distributions–which generate over 100 million annual downloads a year.

Serialization and deserialization are two fundamental processes that play a pivotal role in achieving this goal, especially within the context of Node.js. Serialization and deserialization are the unsung heroes behind the scenes, responsible for converting complex data structures into formats that can be easily stored, transmitted, and reconstructed when needed. In Node.js apps where data is at the core of application functionality, a solid understanding of these processes is crucial.

Along with approximately 70,000 other souls from around the globe, the NodeSource team attended Web Summit 2023 earlier this month. Famous for being the largest European tech event (or even the world), Web Summit was full of riveting AI conversations, more than 2,600 startups, and plenty of tasty food trucks and, of course, amazing local cuisine.

NodeJS is a JavaScript-based backend framework for web applications. It enables fast, scalable, and efficient development with high concurrency and data streams. Choosing the right database for NodeJS applications is a challenge for developers. A database should store and manage the data, handle the volume and velocity of data, provide the features and functionality you need, and be compatible, easy, secure, and reliable with NodeJS.

When building web applications you’ll often be using services on the client that require authentication. A common way client-side SDKs like Ably authenticate themselves is by using server-side API endpoints that generate and return access tokens. Using access tokens allows you to keep your service’s secrets on the server and instead issue time-limited and scope-limited tokens to a client. Some services even let you create revocable tokens for added security.

In today's digital age, Portable Document Format (PDF) files have become an integral part of how we share and manage documents. Regardless of whether it's contracts, reports, or presentations, PDFs provide a consistent and reliable way to present information across different platforms and devices. As developers, being able to manipulate and generate PDFs programmatically is a valuable skill. This is where the pdf-lib library for Node.js comes into play.

To update a document in MongoDB, I used to fetch it, update the values, and save back the entry. I would question the need for an update method. Looking back, it's evident that performance optimizations were hardly a concern when working on a personal project. Working with a larger dataset is a whole different story, though. This is where no-code tools can't help. In this article, I'll share some of my learnings when it comes to working in MongoDB with millions of documents.