goldstack VS berry

Infrastructure Complexity: Serverless computing emerged as a simplified approach to application development, but the infrastructure it requires can be unexpectedly complex. Tasks like setting up an API gateway with Lambdas can result in extensive configuration, increasing brittleness and the learning curve for developers.

I completed the upgrade and released this in version 0.5.0 of Goldstack.

If you have any question or comments, please reach out or raise an issue 🤗.

Thus, I started the process of developing a server-side rendering friendly template a few months ago. I released this template a while ago and have since also completed the implementation of the new version of my blog. This post contains my experiences and learnings from this process.

For any suggestions, ideas and comments, please be welcome to head to GitHub and create an issue 🤗.

See a full source code example here: lambdaCompression.ts

The above template and boilerplate are regularly updated and automatically tested (project install & standing up infrastructure). If you nonetheless encounter any problems, please raise an issue on GitHub.

Consider helping out making this template better for others by raising an issue in GitHub if you encounter any problems or have questions or ideas.

The above assumes that there is a local .aws/config and/or .aws/credentials file present. Note that the AWS credentials in awsUser can be initialised in many different ways, see the file awsUserUtils.ts for reference or the AWS documentation on Setting SDK Credentials in Node.js.

If you have any comments or ideas for this template, please head over to the Goldstack GitHub project and raise an issue.

Node.js manages dependencies using package managers like npm (Node Package Manager), yarn, and pnpm. npm comes pre-installed with Node.js and allows you to install and uninstall Node.js packages. It uses a package.json file to keep track of which packages your project depends on. Yarn and Pnpm are alternative package managers that aim to improve on npm in various ways, such as improved performance and better lock file format.

Depending on the stack of the repository you are cloning, you might have to install additional dependencies. For this demo, I'm using my own website, which is a static website built with Astro.js. It which requires to have Node.js installed and Yarn for package manager.

A package manager such as npm, Yarn, or pnpm. A package manager is a tool that helps you manage the dependencies of your project. You can use any of these package managers to install Jest and other packages.

To start off, you'll need Node.js installed on your local system. This ChatGPT API guide will use Yarn to install dependencies in the project, but you're free to use npm or any other package management tool if you wish. Finally, you'll need an OpenAI account for ChatGPT API access.

This package is available in the Node Package Repository and can be easily installed with npm or yarn

Yarn or Npm(This tutorial uses Yarn)

However, the easiest way to install the Snyk CLI for your JavaScript application is to do so using the npm or Yarn global installation since you most likely already have Node.js installed. Ensure you're using Node.js version 12 or later and run the following command to install the Snyk CLI as a global npm package:

Resolving berry to a url... Downloading https://github.com/yarnpkg/berry/raw/master/packages/berry-cli/bin/berry.js... Saving it into /private/tmp/my-app/.yarn/releases/yarn-berry.js... Updating /private/tmp/my-app/.yarnrc... Done!

Installed Yarn package manager.

I think Prolog really shines as an embedded query engine (I know this is old and it's been removed since). It's perfect for declarative configuration, very easy to write powerful queries once you wrap your head around it.

The Yarn constraints plugin also used (Tau) Prolog, although it looks like it's in the process of being replaced with JS, which makes me a bit sad. The reasoning is here: https://github.com/yarnpkg/berry/issues/1276. Seems like the biggest issue is lack of a nice dev environment. I maintain the Trealla Prolog Wasm port (npm package 'trealla') and I hope some day to use it for a VSCode extension or LSP or something to provide a nice dev experience. Performance has also been cited as an issue[1] but Trealla is quite fast and I expect it could easily handle a complex Yarn workspace with tons of facts. If this sounds like something you'd be interested in helping me with, feel free to contact me or make an issue/discussion here: https://github.com/guregu/trealla-js

[1]: https://github.com/yarnpkg/berry/issues/4079#issuecomment-10...