Learn Graphql, Netlify and Ruby

In this course, Colby is going to do a deep dive into creating a full store for your products. You'll learn how to set up and use GraphCMS as your content management system. You'll learn about the Cloudinary UI extension and how to use it to host your images. You'll learn about Snipcart and using the useSnipcart hook to handle the cart state and the checkout. You'll learn how to implement Stripe as your payment gateway. And lastly, you'll learn how to deploy a Next js app to vercel from github with environment variables.

snipcart

Ecommerce Product Management & Storefront with GraphCMS, Snipcart, & Next.js


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

Starting from a prebuilt frontend, Jason Lengstorf guides you through the creation of a "Corgi Up-boop App" that uses Netlify Functions and Hasura. You can view [the deployed final product on Netlify](https://egghead-serverless-functions.netlify.app/).

You'll set up the Netlify CLI, and configure a local development environment before writing and deploying functions with a few different use cases.

The first example function bypasses CORS restrictions to retrieve corgi data from an example third-party API.

Next, you'll configure environmental variables to securely communicate with the Unsplash API without exposing private keys to the client.

Serverless functions don't persist data by themselves, so we will use  Hasura to create a GraphQL API for tracking the number of "boops" each corgi receives.

This course is an excellent illustration of the speed of Serverless functions, and how fast you can implement functionality in your web applications.

An all-in-one workflow that combines global deployment, continuous integration, and automatic HTTPS.

netlify

Build a Corgi Up-boop Web App with Netlify Serverless Functions and Hasura

How does e-commerce work on the Jamstack? 

Jason Lengstorf and [Thor 雷神](https://twitter.com/thorwebdev) teamed up on _Learn With Jason_ to [build a serverless Stripe Checkout implementation](https://www.learnwithjason.dev/sell-products-on-the-jamstack). This collection is a cleaned up, egghead-style tutorial for selling products on a Jamstack site using Netlify Functions and Stripe Checkout.

Sell Products Using Stripe Checkout and Netlify Functions

OpenGraph images are the images you see when you paste a link into a social platform and it "unfurls" into an image, title, and description. This happens on Twitter, Discord, Slack, and many other platforms. This collection goes over everything from designing OpenGraph images in Figma, to implementing them in CodeSandbox, to returning headless browser screenshots from Netlify Functions, and finally using Cloudinary as a write-through cache. 

You will come away from this collection with the ability to ship an API that you can use on any of your sites, and also on-demand, that can generate images for not only OpenGraph unfurls, but also for Instagram, GitHub, and more. Using headless browsers with playwright to generate our images means we get full access to all the responsive power of CSS and all the logical power of JS to handle layout, importing assets like pngs, choosing different fonts, and more.

The image below is generated via the project you'll build and deploy in this course

![An example opengraph image](https://relaxed-payne-d1bfbe.netlify.com/opengraph?title=Building%20an%20OpenGraph%20image%20generation%20API%20with%20Cloudinary%20Netlify%20Functions%20and%20React&tags=figma,netlify%20functions,playwright&author=chrisbiscardi)

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

Building an OpenGraph image generation API with Cloudinary, Netlify Functions, and React

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

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

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

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

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

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

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.

GraphQL Data in React with Apollo Client

This collection is a sequel to the [Building a Serverless JAMStack Todo app with Netlify, Gatsby, GraphQL, and FaunaDB](https://egghead.io/playlists/building-a-serverless-jamstack-todo-app-with-netlify-gatsby-graphql-and-faunadb-53bb) collection. In this collection we take the TODO application we built and convert it to run using Netlify Identity, AWS Lambda (using the serverless framework) and DynamoDB. We cover

* Fauna vs DynamoDB and when to use each
* Setting up AWS accounts
* Creating DynamoDB tables and data modeling differences between Fauna and Dynamo
* Converting our Netlify Functions deployment to a Serverless Framework deployment
* Implementing Custom authorizer functions on AWS

It uses tools that remove as many of the barriers as possible. Netlify Functions grows into Serverless Framework adn AWS Lambda, Netlify Identity is kept around, and FaunaDB can grows into DynamoDB.



FaunaDB is a global serverless database that gives you ubiquitous, low latency access to app data, without sacrificing data correctness. It eliminates layers of app code for manually handling data anomalies, security, and scale, creating a friendlier dev experience for you and better app experience for your users.

faunadb

Converting a Serverless App to run on AWS Lambda and DynamoDB with Serverless Framework

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

Create a serverless application and deploy it in under thirty minutes!

We'll be using Netlify, Vite, TypeScript, and React in our project. This stack synergizes extremely well for rapidly developing professional-quality applications. 

If you haven't heard of Vite, it's the French word for quick! It's also a build tool that consists of a dev-server and an extremely fast bundler. It makes for a rapid development loop.

As for the rest. Netlify makes hosting fast and easy with serverless functions and continuous deployment. React enables you to quickly create reusable components. And TypeScript helps you write cleaner code that is easier to refactor. 

So get started and learn how to use this stack in your own applications!

Deploy a Serverless API React Application with TypeScript

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

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.

react-native

Build a News App with React Native, GraphQL and TypeScript

**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

Introduced in React 16.8, Hooks are a new way to write stateful components while avoiding the pitfalls of classes. 

As a result, GraphQL developers everywhere wanted to use them for their Apollo Client components, instead of relying on render props pattern. In August of 2019 things have changed and Apollo Client now has official support for React hooks, by providing `useQuery`, `useLazyQuery`, `useMutation` and `useSubscription` hooks.

If you'd like to learn how to use them, this playlist is for you!

Learn Apollo Client Hooks

**Get started building dynamic apps with GraphQL and Vue3.**

As your app scales, so does the complexity of managing your routes and API endpoints. 

It gets tiresome. 

But this aspect of web development can be streamlined considerably! 

GraphQL is a powerful tool for querying and mutating your data. In this course, we are going to create a Vue3 app that leverages GraphQL to create a dynamic front end.

But what does GraphQL *do*? 

Its power comes from giving you a *single* endpoint that you make all your queries to. Instead of making a request to a specific endpoint and getting a fixed response, you can write flexible queries to a single endpoint.

![REST vs GraphQL diagram](https://res.cloudinary.com/dg3gyk0gu/image/upload/v1638989029/course-resources/create-a-graphql-powered-vue-3-application/rest_vs_graphql.png)

Vue3 has some great new features that we will be exploring, such as the setup script syntax. But you won't just be exploring Vue3's new features, we will be building a dynamic front end with an index, view pages generated from data, and forms.

To make our frontend dynamic, we will be powering it with GraphQL. We start with the basics by creating queries but we move on to more advanced topics such as query params, mutations, and pagination.

To actually use GraphQL in our Vue app we will be using the Vue Apollo Client. Which gives us convenient methods for making queries, getting the data back into the client, and handling errors.

## Gain These Skills

- Add GraphQL to a Vue 3 project
- Query and mutate data with GraphQL in Vue 3
- Create data-driven views with Apollo client
- Handle routing within a Vue 3 project
- Implement optimistic updates and infinite scroll

## Prerequisites

Some entry-level knowledge on Vue and GraphQL is recommended, but this course is beginner-friendly enough to where it isn't a strict requirement.

If you want to build a deeper foundation for both Vue and GraphQL we have a couple of awesome courses that you can hack through. 

For Vue, check out **[The Beginner's Guide to Vue 3](https://egghead.io/courses/the-beginner-s-guide-to-vue-3-1c46da8b),** which is also by Kevin. It's great for both newcomers to web dev and veterans alike. 

And for GraphQL, work through **[GraphQL Query Language](https://egghead.io/courses/graphql-query-language)** from Eve Porcello. Eve literally wrote the book on learning GraphQL and her course is similarly top quality. 

## What's Next?

Progressive Web Apps are a more advanced topic, and converting an existing Single Page **Vue** App into one makes for an excellent follow-up project. **->** [Offline-First Progressive Web Apps (PWA) in Vue.js](https://egghead.io/courses/offline-first-progressive-web-apps-pwa-in-vue-js)

If you want to take your **GraphQL** game to the next level, then becoming an expert in designing GraphQL schemas is the way to go. **->** [Designing GraphQL Schemas](https://egghead.io/courses/designing-graphql-schemas-99db)

And I know the following recommendation is a React course but *it really is that good*. You will learn some **advanced** techniques that will be applicable to Vue or any other Apollo compatible framework that you work with. **->** [Manage State in React Apps with Apollo Client and GraphQL](https://egghead.io/courses/manage-state-in-react-apps-with-apollo-client-and-graphql-a45b3b89)

Vue (pronounced /vjuː/, like view) is a progressive framework for building user interfaces. Unlike other monolithic frameworks, Vue is designed from the ground up to be incrementally adoptable. The core library is focused on the view layer only, and is very easy to pick up and integrate with other libraries or existing projects. On the other hand, Vue is also perfectly capable of powering sophisticated Single-Page Applications when used in combination with modern tooling and supporting libraries.

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