Learn Aws, Cloudflare and D3

You're going to find cloud services being used at nearly any enterprise you work for. So it's important for us developers to at least have a high-level understanding of this infrastructure.

And since AWS has the dominant share of the cloud market, being familiar with it is incredibly valuable and opens a lot of doors.

But gaining that familiarity isn't easy. Just browsing through the list of 200+ services is overwhelming. 

Getting started with learning AWS usually involves having a dozen or more open tabs and the feeling that you're going down a rabbit hole that never ends.  

This course is an alternative to that stress. It has been structured like a boat tour on a river of knowledge, linearly guiding you through the core of AWS. 

By the end of this course, you will be confidently spinning up servers, creating relational databases, storing static assets, and writing serverless functions with confidence. 

So, whether you need to learn AWS for your current job or are looking to earn your cloud practitioner certification, start watching this course and gain the skills you need today.

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.

Cloud Infrastructure Fundamentals with AWS

Cloudflare Workers let you write JavaScript Service Workers that run directly in Cloudflare's 200+ edge locations around the world.

With a Cloudflare Worker, you can modify your site's HTTP requests and responses, make parallel requests, and even reply directly from the edge.

Cloudflare Workers are written against a similar API to the W3C Service Workers standard. However, while Service Workers run inside the end user's browser, Cloudflare Workers run on Cloudflare's servers. This means that Cloudflare Workers can implement trusted code (which the client cannot tamper with), and will work no matter what browser the user is running.

In this course, Kristian Freeman will teach you how to build and deploy a Serverless API with Cloudflare Workers. By learning how to build your own serverless JSON APIs, you can effectively manage a highly-available backend for your projects, without needing to learn DevOps or manage services.

Cloudflare secures and ensures the reliability of your external-facing resources such as websites, APIs, and applications. It protects your internal resources such as behind-the-firewall applications, teams, and devices. And it is your platform for developing globally-scalable applications.

cloudflare

Build a Serverless API with Cloudflare Workers

In this course, we'll build a video course platform using the AWS Amplify Admin UI. 

The Admin UI provides simple yet powerful tools to model database tables, add authentication and authorization, and manage app content, users, and groups. It also offers the ability to manage the application users and content. 

The AWS Amplify Admin UI focuses on data types rather than backend infrastructure. 

All the backend resources generate infrastructure as code (IaC) templates that can be committed in the team repository and integrated with AWS Amplify continuous deployment workflow to manage the different environments.

Before taking this course, you should have a basic understanding of React Hooks.

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

Get Started with the AWS Amplify Admin UI

Cloudflare Workers is a serverless application platform that enables you to create and deploy functions to Cloudflare's Edge Network.

Unlike other serverless providers that only have regional data centers, Cloudflare's Edge Network consists of hundreds of servers all over the world.

Cloudflare Workers is a powerful platform, and this course serves as a great introduction for what it can do.

Follow along with Kristian Freeman as you build a localization engine that renders data based on the Edge location nearest to the application's user.

After this course, you'll be ready to start experimenting with your own Cloudflare Workers projects. *Need an idea?* *[Check out the suggested Portfolio Project for this course.](https://egghead.io/projects/introduction-to-cloudflare-workers)*

Introduction to Cloudflare Workers

Amazon AWS is one of the most popular cloud providers in the world, but it can also be daunting to learn thanks to the alphabet soup of service acronyms.

Once you've figured out which subset of services to use, you've got a lot of clicking around to do in order to get things configured.

Not anymore!

With the AWS Cloud Development Kit (CDK), you are able to configure AWS services from your terminal & editor.

Even better, you can do your configuration, frontend, and backend all with the same language. 

In this course, Tomasz Łakomy will guide you through using TypeScript to complete the lifecycle of an application powered by AWS CDK. You'll see how to start a project, develop it locally, deploy it globally, then tear it all down when you're done.

The services & development approach Tomasz demonstrates in this course are used by countless companies around the world. 

Is yours next?

Build an App with the AWS Cloud Development Kit

AWS Amplify allows developers to create, configure, and deploy Serverless APIs and functions directly from their front-end environment.In this collection, you'll learn how to deploy various types of APIs and functions using the Amplify CLI. You'll also learn how to share code among various functions using Lambda layers and schedule functions to run at an interval to implement Serverless cron jobs.

JavaScript® (often shortened to JS) is a lightweight, interpreted, object-oriented language with first-class functions, most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic, and supports object-oriented, imperative, and functional programming styles.

javascript

Up and Running with AWS Amplify Functions

This playlist will get you going with the Amplify Console, including showing you how to host your website, integrate continuous integration and continuous delivery, set up a custom domain, and enable pull request previews.

Up and Running with Amplify Static Site Hosting

We generally tend to avoid paying for things unless we actually need them, and the same goes for AWS

When using a cloud provider like AWS sometimes an unexpected charge may occur and we'd like to understand what are we being charged for and how to be notified whenever an unexpected charge occurs (especially when we're trying to stay within a free tier).

In this quick (4 minutes, 2 lessons) collection we're going to learn how to:

- Review the AWS Billing & Cost Management Dashboard
- Set up a billing alarm to be notified whenever our bill is larger than $5
- Review the AWS bill to understand how much are we going to pay this month and why

Use AWS Billing & Cost Management Dashboard to keep your AWS bill to minimum

**View and Contribute to the [Community Notes](https://github.com/eggheadio-projects/learn-aws-dynamodb-from-scratch)!**

Learn AWS DynamoDB from scratch

React makes it intuitive to build real-world web application. But in reality, you need to use a host of other services to get the app in front of real users. 

This course walks you through setup and implementation to get your cloud-based application up and running. 

You’ll learn to set up:
* a new project in AWS Amplify configured to your React app
* user authentication with Amazon Cognito 
* managed GraphQL with AWS AppSync
* image storage and retrieval with Amazon S3
* text translation via Lambda functions
* and finally, deployment of your application on AWS using Amazon S3

You’ll finish the course ready to quickly and easily deploy your serverless React application, so users can start using and enjoying it right away.

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

Building Serverless Web Applications with React & AWS Amplify

This collection includes introductory level material for AWS DynamoDB. We cover what DynamoDB is, when you'd use it, and the vocabulary you'll need to understand documentation and talks in the ecosystem.

You'll come out of this playlist with the ability to understand what people mean when they say DynamoDB and the base you need to get started yourself.

**View and contribute to the [Community Notes!](https://github.com/eggheadio-projects/intro-to-dynamodb)**

Intro to DynamoDB

Building larger serverless applications can be tricky - creating many lambda functions as well as other resources such as DynamoDB tables, S3 buckets, API Gateways using AWS Console takes quite a lot of time. Not to mention other problems such as redeploying the app to a different region, reviewing the infrastructure etc.

**AWS Serverless Application Model** (**AWS SAM** for short) simplifies a lot of those issues 🤩

Built with with best practices in mind, SAM allows you to:

🌟define your infrastructure as code using a YAML template (which can go through code review!)

🌟define resources such as lambda functions, DynamoDB tables etc. in a much simpler way than doing it directly in CloudFormation (which SAM is built on top of)

🌟build and deploy a serverless application from a command line

🌟debug and test lambda functions locally using SAM CLI

🌟debug and test lambda functions from WITHIN your editor with AWS Toolkit extension


Add AWS SAM to your toolkit with this quick collection!

**View and Contribute to the [Community Notes!](https://github.com/eggheadio-projects/build-serverless-applications-with-aws-sam)**

Build serverless applications with AWS Serverless Application Model (AWS SAM)

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

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

Scalable Offline-Ready GraphQL Applications with AWS AppSync & React

This playlist covers all of the ways to use the node.js DocumentClient to interact with one or more DynamoDB tables.


note: We do not cover scan() as it is not recommended for most usage and if you need it you'll know how to read the documentation to use it by the end of this collection.

Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications. Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices.

node

DynamoDB: The Node.js DocumentClient

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

AWS Lambda, Serverless, FaaS - there is a lot of noise around those topics online (and for a very good reason!) and it can get confusing at times 🤯

In this collection we're going to take a look at AWS Lambda from scratch, in order to get **YOU** from:

"_I have no idea what a lambda function is_" 

to 

"_I know quite a bit about AWS Lambda, and I'm going to use it to solve my problems_"

Checkout the [community notes for this collection on github](https://github.com/theianjones/egghead.io_learn_aws_lambda_from_scratch).

Learn AWS Lambda from scratch

The core of serverless architectures are auto-scaling systems and a pay-per-execution pricing. Two traits that allows developers to significantly reduce operational cost and complexity, by outsourcing infrastructure management to cloud providers and focus on building business logic.  

In this course we walk through the basics on how to create a serverless API. We start off creating a simple HTTP endpoint. Then we build the first two endpoints of a REST API for a simple Todo Application backend storing the data in DynamoDB. After watching this course you will be ready to get started building you first serverless backend.

Develop a Serverless Backend using Node.js on AWS Lambda

The “Edge” is where you write and store your code where your data is being produced. This allows for a quick and efficient data transfer, eliminating or severely reducing lag. 

Supabase is a suite of open-source tools wrapping a PostgreSQL database. It provides the building blocks of an app - database hosting, auth, file storage, real-time, and edge functions - so we can focus on what makes our app unique.

Cloudflare Workers are serverless functions that run at the Edge! In this course, we will use the Wrangler CLI tool for interfacing with your Cloudflare account and creating or publishing your Workers.

KV Storage is a cache that Cloudflare makes available to our Workers. It replicates across multiple CDN nodes, making it super performant to cache data.

Combined, these three things give you the benefits of that reduced lag in a smooth and streamlined process. 

Throughout this course, Jon will teach you how to create a small blog that hits the key points of how to:

- Query Supabase from Cloudflare Workers
- Read and write KV Storage cache from Cloudflare Worker
- Cache Supabase response at the Edge with KV storage

And more! 

Cache Supabase data at the Edge with Cloudflare Workers and KV Storage

D3, or Data Driven Documents, is the defacto standard for data visualization on the web. It's an incredibly powerful library that gives you all the tools you need to build just about visualization you can dream of.

D3 is not a collection of predefined charts. Instead, it's a robust set of utilities you can use to ingest and transform data, to map that data to screen values, and ultimately to manipulate the DOM to render your visuals.

When working with React, D3's desire to manipulate the DOM is at odds with React's goal of rendering the UI as a function of state. So how do we handle this? Simply put, we use D3 for everything up to the point where we want to render our output, and then we hand all that data to React for rendering.

In this course, we'll start from scratch and build out an SVG bar chart for some sample data. We'll lean on D3 for its tools and then hand that data off to React for rendering.

Create A Bar Chart with React and D3

In this course we will learn and demonstrate the fundamental concepts and APIs of D3, on our way to building several common chart types. We’ll start with the building blocks upon which all D3 visualizations are built; things like scales, interpolators, and selections. We’ll see how to load data with D3, and how to put its full name, Data Driven Documents, into action. We’ll build column and bar charts, scatter plots, and area charts. Most importantly, we’ll gain an understanding of the conventions and patterns that underlie all D3 projects and examples, enabling you to dissect, understand, and build virtually any D3 visualization on the internet.

D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG and CSS. D3’s emphasis on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework, combining powerful visualization components and a data-driven approach to DOM manipulation.

Build Interactive JavaScript Charts with D3 v4

**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.

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