Learn Aws, Http and Particle

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

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?

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 an App with the AWS Cloud Development Kit

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

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)

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

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

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

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 videos in this playlist will get you started building serverless applications using AWS SAM. It covers

* Setting up your AWS credentials
* Building and deploying a Lambda
* Testing your Lambda locally
* Cleaning up your AWS account once you've finished

Introduction to AWS SAM

In this course, we will learn the fundamentals of the Hypertext Transport Protocol (HTTP) by exploring several popular HTTP APIs such as the GitHub API. Starting with the basic structure of an HTTP request and response, we will then delve into the specifics of each element of the request/response messages. Using concrete examples from these APIs, we will cover request methods, response status codes, messages headers, and message bodies. Along the way, you'll learn about specific message headers, such as `Cache-Control`, and `Cookie`  and how they control the behavior of clients/browsers and HTTP API services.

This course uses HTTPie, if you would like to follow along with the instructor you can download the client [here](https://httpie.org/).

The Hypertext Transfer Protocol (HTTP) is an application-level protocol for distributed, collaborative, hypermedia information systems. It is a generic, stateless, protocol which can be used for many tasks beyond its use for hypertext, such as name servers and distributed object management systems, through extension of its request methods, error codes and headers.

http

Understand the Basics of HTTP

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

One of the hardest parts of learning AWS is understanding how the different moving parts work together. 

In this course, we tackle a real-world project of deploying the blogging platform Ghost to AWS using EC2 (the server where Ghost will run) and RDS (a relational database for Ghost to store data).

This course ties together skills like networking, SSH, and using the command line while getting a realistic full-stack platform up and running. 

Whether you're studying for a certificate like Certified Cloud Practitioner or just learning for fun, this hands-on project will be a great way to dig in and get some practice!

Deploy Ghost to AWS using RDS and EC2

Learn how to use the [AWS Cloud Development Kit (CDK)](https://docs.aws.amazon.com/cdk/latest/guide/getting_started.html#getting_started_install) to create and deploy a [DynamoDB table](https://aws.amazon.com/dynamodb/) with [Next.js](https://nextjs.org).

- 🛠 API Route to handle CRUD actions
- 📦 AWS CDK for Infrastructure as Code
- 🔓 IAM role to restrict permissions
- 🚀 Deploy instantly to [Vercel](https://vercel.com)

You can view the completed code [here](https://github.com/leerob/nextjs-aws-dynamodb). 

Using DynamoDB with Next.js

Learn Amazon S3 from scratch

As developers, we're often working closely with APIs to make requests in the browser or on the backend with a server, but we might not always know exactly how those requests work or how they should look.

Postman is a tool that lets us create, manage, and test API endpoints all within a UI so we can wrangle our APIs and understand how they work.

Create, Manage, and Test API Requests with Postman

The HTTP GET & HEAD methods are used to retrieve information about a resource. The GET method will retrieve the metadata about the resource, encoded in the HTTP headers, as well as a representation of the resource itself in the message body (e.g. a JSON document with fields that describe a user). The HEAD method behaves like GET, but only retrieves the status and headers; this can be useful when you need some metadata about a resource (e.g. the Last-Modification time), but don't want to waste time or bandwidth fetch the resource itself in the message body. Finally, we discuss the idempotent and safe natures of these HTTP methods.

Topics

Instructors

Content Type

Free or Pro