bull VS Gatsby

To implement the solution with a queue, I used a package called 'Bull' (https://github.com/OptimalBits/bull). It's a library that helps with distributed job control, providing some very useful solutions for this type of work, such as background job processing, queues with priorities (FIFO, LIFO, and others), among other features. 'Bull' uses Redis for queue storage, so if your application crashes for any reason, once it's back online, it will continue executing the processes that are in the queue. In our case, we'll use the FIFO (First in, first out) queue solution, meaning priority based on arrival order.

We use bull-js for our distributed queue and event-driven library.

I'm using the excellent Redis based Bull.js as a job queue on Kubernetes.

For Job Queue, NestJs provides a package named @nestjs/bull as an abstraction/wrapper on top of Bull, a popular, well-supported, high-performance Node. js-based Queue system implementation.

I'm working on a large ETL project that involves handling queues for file integration. Currently, we are using Redis with Bull (https://www.npmjs.com/package/bull) for this purpose. However, to streamline our architecture and address security concerns, we are considering migrating the queue to PostgreSQL.

BullMQ is a pretty solid choice: https://github.com/taskforcesh/bullmq It's the successor of Bull: https://github.com/OptimalBits/bull

For Node specifically, things like Streams, understanding the asynchronous model completely, and the event loop. Also, queues tend to get used a lot in Node, so understanding the basic concepts behind that and how to use something like bull would be useful.

To do this properly, you need to put the task into queue, so if there are 1000 simultaneous uploads it won't kill your server but will be processed one by one. For the queue, see bull. Image hostings like AWS have some functionality for processing on their side, as an option.

This is a memory intensive process though and Heroku is OOM'ing with R14 errors. For this they recommend migrating intensive work like this to a Background Job via Redis, implemented in Bull and Throng

The first time I started building static websites is when I discovered Gatsby. I built several projects using Gatsby and hosted it on Netlify free tier. It felt like a really robust architecture and I loved that it was free.

A Gatsby site uses Gatsby, which leverages React and GraphQL to create fast and optimized web experiences. Gatsby is often used for building static websites, progressive web apps (PWAs), and even full-blown dynamic web applications.

While Next.js is a powerful framework for building server-rendered React applications, it's not the only option for developers looking to create high-performance websites. One notable alternative is Gatsby, a static site generator that leverages React and GraphQL.

The other piece of important information to acknowledge here is that when we say RSCs need a framework, “framework” effectively just means “Next.js.” There are some smaller frameworks (like Waku) that support RSCs. There are also some larger and more established frameworks (like Redwood) that have plans to support RSCs or (like Gatsby) only support RSCs in beta. We will likely see this change once we get React 19 and RSCs are part of the Stable version. However, for now, Next.js is currently the only framework recommended in the official React docs that supports server components.

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Babel plugins are everywhere. From being used to remove unwanted exports from files in Gatsby to being used to disallow users from doing re-exports in Nextjs.

In terms of GitHub stars, SSGs like Next.js, Hugo, Gatsby, Docusaurus, Nuxt.js, and Jekyll top the list. Some popular SSGs even host conferences and workshops, providing resources and networking opportunities for those looking to explore more advanced topics in depth.

Flexibility : Developers have complete control over the frontend so they can use their preferred tools and frameworks like React, Next.js, Gatsby, or Remix.