Learn Graphql, Npm and Rust


Next.js is one of the most popular server-side-rendered React frameworks you can use to build production-ready serverless applications in record time. 

On the other hand, Fauna is a flexible, serverless, distributed document-relational database. Fauna has a powerful GraphQL API and custom resolver support. 

Using Next.js and Fauna, you can build robust, feature-rich, production-ready full-stack applications without the hassle of managing any servers or databases.

In this course, Shadid guides you through building your very own full-stack serverless marketplace application using Next.js, GraphQL, and Fauna. 

You will learn,

- How to work with Apollo GraphQL Client in Next.js
- How to setup Fauna GraphQL
- Data modeling in Fauna
- How to write custom Fauna GraphQL Resolvers (UDFs)
- How to authenticate with Auth0?
- Stripe payment 



GraphQL is a query language for APIs and a runtime for fulfilling those queries with your existing data. GraphQL provides a complete and understandable description of the data in your API, gives clients the power to ask for exactly what they need and nothing more, makes it easier to evolve APIs over time, and enables powerful developer tools.

graphql

Full-Stack Serverless Applications with Next.js & Fauna

npm is the package manager for JavaScript. Find, share, and reuse packages of code from hundreds of thousands of developers — and assemble them in powerful new ways.

Introduction to Monorepos with NPM Workspaces

In this course, Chris takes a README-driven approach to build out a Rust CLI that supports content authoring for a digital garden.

Specifically, you'll work through the first command for the CLI, writing files. You start by initializing a new Cargo binary crate through creating the `write` command that allows you to create files (and their contents) to the folder that you set. 

Step by step you'll learn about:
- Handling user input
- Error handling
- Rust Move semantics
- Rust Copy semantics
- Integration testing

...and more!

Rust is a systems programming language that runs blazingly fast, prevents segfaults, and guarantees thread safety.

rust

Creating a Digital Garden CLI with Rust

GraphQL brings joy to using APIs. Even though it's based on a type system, GraphQL in many ways is more flexible than REST.

But the flexibility that makes GraphQL a joy to work with can have its downsides if you aren't careful.

Schema design is an area where one small oversight at the beginning can get you stuck having to deal with weird naming, bloated duplicates, and other annoying workarounds.

It doesn't have to be like this!

Nik Graf has extensive experience designing GraphQL schemas, for a variety of business applications.

In this course, Nik has prepared several examples following different design patterns. Through exploration and comparison, you'll come away with actionable knowledge for designing and extending schemas.

Follow Nik, and avoid making Schema mistakes that will come back to bite you later.

Designing GraphQL Schemas

Rust is a modern language that is close to the metal. It's got the performance of C, but with a more friendly syntax and community.

It's also memory safe, and ensures your applications are bug free by catching errors at compile time instead of runtime.

These features make Rust a great choice for developing code for embedded systems, web servers, and CLI apps. You can even compile Rust into WebAssembly in order to run it in-browser!

But as the saying goes, "before you learn to run, you must learn to walk".

In this course, you will write your first Rust application.

Starting from “Hello World” you’ll quickly move on to learning about Rust’s types, configuration files, and the `cargo` package manager along with classics like functions, loops, and handling user input.

More Rust-specific concepts like macros and pattern matching will also be introduced.

Check out these [**community notes for this course on Github**](https://github.com/eggheadio-projects/write-your-first-program-with-the-rust-language).

Next Steps: [Basic Types in Rust](https://egghead.io/playlists/data-types-in-rust-ab72)

Write Your First Program with the Rust Language

GraphQL is gaining traction as one of the most popular ways to create an API. Regardless of which GraphQL implementation you pick, you’ll use the QL in GraphQL — the query language — to query data, change data with mutations, and listen for data changes with subscriptions.

You need to know the Query Language regardless of the server-side implementation.  In this course, we will learn the GraphQL query language by sending an assortment of GraphQL operations to an existing API. 

To start, we’ll learn how to write queries to obtain all the data needed for an app in one response. As the course progresses, we’ll use mutations to add and change data. To wrap up, we’ll investigate GraphQL subscriptions and realtime data. 

After the course, you’ll be ready to communicate with a GraphQL API regardless of server-side implementation using the GraphQL query language.

GraphQL Query Language

[Rustlings](https://github.com/rust-lang/rustlings) is a set of exercises that serves as a great introduction to the Rust language. It covers many concepts from the [Rust book](https://doc.rust-lang.org/book/) by asking you to work through sets of exercises.

This collection walks you through Rustlings in a way that explains what's going on in each exercise. We cover everything from basic types to generics and threading.

Learning Rust by Working Through the Rustlings Exercises

A short list of screencasts to cover essentials of [Gatsby](https://www.gatsbyjs.org/) to get started and have enough knowledge to become dangerous. 

The content comes from multiple instructors that have each covered different essentials, this cherry picks some of the most important concepts.

Videos in this collection cover these topics:
- installing plugins
- creating pages
- navigating between pages
- adding optimized images
- theming your styles
- deploying your site

Gatsby is a blazing fast static site generator built with React. Gatsby gives you all of the modern JavaScript tools you want; set up and ready to go out of the box.

gatsby

Up and Running with Gatsby

Learn how to add optimized images to your Gatsby site with the `gatsby-image` plugin.

These videos dive into:

- installing and configuring plugin options
- sourcing images to be queried via GraphQL
- displaying traced-svg or "blurred-up" images
- different image types supported by `gatsby-image`
- as well as alternatives for using images in Gatsby

Image Loading and Optimization in Gatsby with gatsby-image

You can’t be everywhere at once. Neither can node packages. But with a utility called npx — included in npm v5.2 and later — you can interact and run with node modules even if they’re not downloaded locally. The same is true for gists and remote branches of GitHub. As long as npm installed, your work can be wherever you are.

This course from Elijah Manor unlocks the power of the npx utility. Over 17 minutes, we will examine the npx package runner and look through various scenarios where the tool is helpful when running node packages from the command line. You’ll learn to use npm to:

- test out various versions of a package
- run packages without globally installing
- run code directly from GitHub
- make working with packages much easier

Execute npm Package Binaries with the npx Package Runner

With GraphQL, you can define the shape of your data in a schema, and GraphQL will fulfill the request with the precise data you need. When you need it. This doesn't come without a cost. GraphQL adds a lot of complexity to your application by requiring you to define your schemas through types, mutations, and resolvers.

AppSync is a fully managed serverless GraphQL service that fast-tracks your API development. You can define a single type, and AppSync auto-generates a schema, queries, mutators, and subscriptions for you.

In this course, Nader Dabit will show you how to:

- build a production-ready GraphQL API through AWS AppSync
- create and modify data through the AWS AppSync console
- connect a React application to the GraphQL API
- execute queries, mutations, and subscriptions for data through the API in React

Scalable Offline-Ready GraphQL Applications with AWS AppSync & React

GraphQL is a fan favorite for good reason. It lets a client make specific, complex, and/or aggregate queries for data, and it’s user-friendly to boot.

If you’ve been meaning to learn GraphQL and start harnessing its powers, this is a great place to start.

This course is for GraphQL newbies with a basic understanding of React. It focuses on the client-side implementation of GraphQL usage using the Apollo client.

We’ll start with a guide on how to add the Apollo client to an existing project, then move on using the Query and Mutation components to fetch and manipulate data using a GraphQL API.

React is one of the web’s most popular frameworks for building JavaScript applications. 

If you know what you’re doing, React can drastically simplify how you build, use, and maintain code.

Whether you’re a React newbie or you’re ready for advanced techniques, you can level-up with egghead. Explore our in-depth courses, lessons, and community resources to build more powerful applications and crack open your career.

react

GraphQL Data in React with Apollo Client

This application serves as an introduction to building products with a JAMStack and Serverless approach. We cover everything from the beginning:

* starting with the Gatsby client
* handling authentication with Netlify Identity
* Shipping a GraphQL server on Netlify Functions
* Building in access control with a serverless capable database

It uses tools that remove as many of the barriers as possible while also allowing upgrading in the future. Netlify Functions can grow into AWS Lambda, Netlify Identity can grow into Auth0 or Cognito, and FaunaDB can grow into DynamoDB.

Building a Serverless JAMStack Todo app with Netlify, Gatsby, GraphQL, and FaunaDB

This collection contains videos that explore the basic types in Rust, including **Fixed size Integer**, **Pointer sized Integer**, **Boolean**, **Strings**, **Characters**, **Arrays**, **Tuples** and more.

If you're just starting out learning Rust and [wrote your first program](https://egghead.io/courses/write-your-first-program-with-the-rust-language), this collection is the right place to get more familiar with the language!

Basic Types in Rust

Many languages work on a compilation story to WebAssembly, but Rust is already ready for primetime. Why?


- Rust is a stable language and great replacement for C and C++. 
- Due to the reference and borrowing concept, Rust doesn’t need a Garbage Collector and can be used for a production-ready WebAssembly project. 
- The Rust/Wasm team has built some sophisticated tooling for straightforward interoperability between Rust and JavaScript.

This course gives you the tools to compile to WebAssembly with Rust. Over 11 lessons, we’ll set up a project and explore various paths of communication and interoperability between Rust and JavaScript.

Using WebAssembly with Rust

WordPress is the most popular content management system in the world. Content creators are able to easily customize nearly everything about WordPress from their admin dashboard, providing a really pleasant content management experience. Using Gatsby as a frontend for your WordPress sites makes the experience of developing the site and visiting the site just as pleasant.

Moving your WordPress frontend to the Jamstack means you keep the convenience of using WordPress’s custom backend for creating and editing content while _also_ avoiding some of WordPress’s biggest downsides.

Historically, WordPress has many downsides, including:

- **Security** — because it’s the most popular content management system in the world, hackers work hard to find and exploit security holes in WordPress sites.
Performance — through a combination of legacy code, community plugins, and other challenges, WordPress sites can easily become slow to load.
- **Scale** — if a WordPress site suddenly becomes very popular (a great thing!) it can overload servers and cause the website to go down (a not-so-great thing!) without complex scaling techniques.
- **Cost** — a WordPress site requires always-on hosting, and specialized hosting can be expensive. Adding support to handle massive scale adds significant cost, too.

Switching to the Jamstack helps mitigate — and even eliminate! — these downsides:

- **More secure** — Jamstack sites don’t connect to the server or database after they’re built. This makes it much harder to hack the site.
- **More performant** — by doing less work for each request and leveraging modern tools, Jamstack sites tend to outperform WordPress sites out of the box, and can be very fast with a bit of extra effort.
- **More resilient** — because Jamstack sites ship to a content delivery network (CDN) by default, a sudden surge of site visitors won’t take your site down.
- **More affordable** — many Jamstack hosting solutions have generous free tiers that are plenty for most small to medium sites, and upgraded accounts typically cost less than specialized WordPress hosting.

Switching to the Jamstack gives you all of the benefits of WordPress and helps you avoid the downsides!

In this collection, we walk through the full process of migrating a WordPress site to the Jamstack, which keeps all the flexibility and power of WordPress’s admin dashboards while adding all the benefits of the Jamstack.

Migrate a WordPress Site to the Jamstack Using Gatsby

Most developers would raise an eyebrow if they saw database queries being done in a for-loop, but GraphQL provides just enough abstraction that it isn't always intuitive exactly how many times each resolver fires at scale, nor is it obvious how to batch operations efficiently and still return the correct results to the correct consumer.

You'll learn how to use the GraphQL Data Loader pattern to improve the performance of your application, and solve scaling issues before they become a problem.

To do this, we'll first implement our own naive version of the pattern to understand why the API is shaped how it is. Then we will switch over to the official DataLoader package and explore the benefits further.

## Skills you'll Gain

- Implement a cache layer to optimize your requests
- Batch requests so your Database isn't overloaded
- Build a performant GraphQL API

Apollo provides a universal GraphQL API on top of your existing services, so you can build new application features fast without waiting on backend changes.

apollo

Use GraphQL Data Loaders to Prevent Scaling Issues by Batching & Caching Database Requests

npm is like a giant library of code building blocks. There are tons of these “blocks”, aka “packages” that we can compose together to build cool things. We can use packages by other developers, but we can also write and publish our own. 

In this course we will learn how to create, publish, and update our own packages. We will create a JavaScript utility module to filter out sensitive words from a string, including tests and development file watching. We will then cover publishing and updating our package. This same approach can be used to create and publish other types of packages too like components (React, Angular, Web Components etc.) and command line interfaces.

Publish JavaScript packages on npm

At the core of a good client-side GraphQL library is a cache. The cache is very important for improving the efficiency of your data retrieval and providing your users with a clean user experience.

In this course, we're going to see how Apollo's powerful cache helps easily solve complex UI problems, such as pagination, handling loading and error states, optimistic updates, and minimizing network requests.

We'll start from the basics, and look at how to make queries and mutations, but then we'll look at how the cache is behind most of Apollo's immediate benefits. We'll explore in-depth how it works, how it stores data, and how we can manually modify it manually for advanced scenarios.

Even if your backend doesn't fully support GraphQL yet, we'll look at how to write GraphQL queries in your components that retrieve local client state under the hood - or that can even make REST API calls.

Manage State in React Apps with Apollo Client and GraphQL

**Build a fully managed, serverless GraphQL API powered by TypeScript and AWS CDK in a matter of hours, not days.**

AWS CDK gives us the power to go all-in with infrastructure as code for AWS. With it, we can create a full GraphQL API with AppSync, a database with DynamoDB, serverless functions with Lambda, and much more. 

In this course, you will learn how to do all of the above from your command line and code editor, which will save you time and give you greater flexibility. 

Want to delete your stack? That's fine, just run `cdk destroy` and *poof,* all of the resources are gone. Changed your mind? Just deploy the stack again and they all come back. 

**AWS CDK makes it that easy.**

And since we are working from the command line and our code editor, we will take advantage of TypeScript and other third-party libraries to improve our developer experience. 

So stop wasting time in the AWS console, check out this course, and learn how to leverage infrastructure as code to your advantage.

Amazon Web Services (AWS) is a powerful expansive cloud infrastructure platform for building modern web applications.

AWS provides services for data, presentation, authentication, security, video encoding, and much more. Offering over 175 fully-featured services from data centers globally, AWS powers a large percentage of the internet.

Build a GraphQL API with AWS CDK and AppSync

In this course, we will be building a React Native news app that is read-only when offline. 

The videos are recorded on a Mac with an iPhone 13 Simulator using plain React Native, but you can do this course using Android, Windows and even the Expo managed workflow. See the lesson description for platform-specific instructions. The solutions repo has been verified to work on a Pixel 3a Emulator on Mac.

The completed app for this course is available [here](https://github.com/kadikraman/news-flash) and each lesson will include a link to the commit that added the code so you can check your work.

After we build our news app, we're going to enhance it to make it read-only when offline using urql'g GraphCache.

This course will require you to run the api locally on your device. The api repo is available [here](https://github.com/kadikraman/news-flash-api).

**Resources:**
- urql: https://formidable.com/open-source/urql/docs/
- Insomnia: https://insomnia.rest/
- Async Storage: https://github.com/react-native-async-storage/async-storage
- React Native Netinfo: https://github.com/react-native-netinfo/react-native-netinfo

React Native lets you build mobile apps using only JavaScript. It uses the same design as React, letting you compose a rich mobile UI from declarative components.