Tutorials on Nodejs

This article will provide a mildly thorough comparison of TailwindCSS vs. Bootstrap to help you determine the more suitable framework for your web development needs. TailwindCSS: As a utility-first CSS framework, TailwindCSS enables developers to construct custom designs without writing bespoke CSS. It provides low-level utility classes that can be combined to create any design directly in the HTML. Bootstrap: As one of the most widely-used CSS frameworks, Bootstrap offers pre-designed components and a grid system. It is designed to aid developers in rapidly creating responsive and consistent web interfaces.

Type safety is a critical feature of TypeScript that aids in preventing runtime errors and boosting developer productivity. In this article, I will dive into how tRPC, a TypeScript RPC framework known for its type safety, builds upon this feature. I’ll be discussing the fundamental concepts of TypeScript type safety, the advantages of tRPC, and its role in augmenting type safety in projects as well. My goal is to give readers a comprehensive understanding of how tRPC can enhance development workflows and minimize technical debt.

This article will dive into a development stack that is gaining traction due to its robustness and adaptability. We'll explore what sets this stack apart from well-established stacks like MEAN and MERN, and why developers should consider its adoption. The cutting-edge stack we're exploring comprises several technologies that, although not entirely new, are combined uniquely to boost development efficiency and code quality. This modern stack includes: This stack facilitates enhanced type safety, seamless management of monorepo structures, shared configurations across packages, and a streamlined frontend setup with Vite, React, and Tailwind. Moreover, this stack enables database migration with raw SQL and access via knex.js , using tRPC as the API layer and Koa as the backend framework.

Are you ready to dive into the world of powerful database management with PostgreSQL and NodeJS? This guide is designed for beginners who want to understand how to use PostgreSQL in their NodeJS projects. Whether you're new to databases or looking to expand your skills, this tutorial will help you get started with confidence. In this guide, we'll cover: By the end of this tutorial, you'll have a solid foundation for building applications with PostgreSQL and NodeJS. For a more visual representation and in-depth details, you may refer to this video tutorial by me, Kristian Dupont, on \newline’s YouTube channel.

If you are using PostgreSQL for storing data of multiple users, you might want to apply row-level security, or RLS. It’s good practice even if you are manually writing all the queries you send to your database but it’s especially important if you have any type of LLM or similar generating queries for you! Let’s create a trivial data model. Users and items, whatever that might be. Each item belongs to a user. Now, per default, if you ask the database about any users items, it will just tell you. By introducing RLS, you can limit what the responses will be to add a layer of protection. Even if you should create a buggy query, you will not accidentally get the items belonging to someone else, just like you cannot accidentally change or delete items belonging to someone else. We do that like this:

Serving a web application to a global audience requires deploying, hosting and scaling it on reliable cloud infrastructure. Heroku is a cloud platform as a service (PaaS) that supports many server-side languages (e.g., Node.js, Go, Ruby and Python), monitors application status in a beautiful, customizable dashboard and maintaining an add-ons ecosystem for integrating tools/services such as databases, schedulers, search engines, document/image/video processors, etc. Although it is built on AWS, Heroku is simpler to use compared to AWS. Heroku automatically provisions resources and configures low-level infrastructure so developers can focus exclusively on their application without the additional headache of manually setting up each piece of hardware and installing an operating system, runtime environment, etc. When deploying to Heroku, Heroku's build system packages the application's source code and dependencies together with a language runtime using a buildpack and slug compiler to generate a slug , which is a highly optimized and compressed version of your application. Heroku loads the slug onto a lightweight container called a dyno . Depending on your application's resource demands, it can be scaled horizontally across multiple concurrent dynos. These dynos run on a shared host, but the dynos responsible for running your application are isolated from dynos running other applications. Initially, your application will run on a single web dyno, which serves your application to the world. If a single web dyno cannot sufficiently handle incoming traffic, then you can always add more web dynos. For requests exceeding 500ms to complete, such as uploading media content, consider delegating this expensive work as a background job to a worker dyno. Worker dynos process these jobs from a job queue and run asynchronously to web dynos to free up the resources of those web dynos.