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A short class with Sarah and her students. The other ways are under More.
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Today, we will explore how to host a static website using Amazon S3. Can anyone summarize what S3 is and its main purpose?
S3 stands for Simple Storage Service, used for storing and retrieving any amount of data at any time.
Exactly! So what are the first steps in hosting our website on S3?
We need to prepare our website files first, like creating index.html and error.html.
Correct! Remember the acronym ICE - 'Index, Create, Enable' for steps: Index file preparation, Create a new bucket, and Enable static website hosting. What comes next?
We should log in to the AWS Console and create a new S3 bucket.
Yes! Also, remember to disable public access settings to make the site accessible to everyone. Let's summarize: Preparing files, creating a bucket, enabling hosting. What do we set after creating the bucket?
We upload our website files and create a bucket policy to allow public access!
Next, let’s discuss deploying a dynamic web application. What are the first steps to set this up using EC2 and RDS?
We start by creating an RDS instance, likely using MySQL.
Correct! Organize this step with the acronym R.E.A.D - RDS, EC2, Application deployment, and Database connection. What settings do we need on RDS?
Use Free Tier settings, set a username, and make it publicly accessible for testing.
Well done! Next, we need to launch our EC2 instance. What specifications should we follow?
We should choose the Amazon Linux 2, using Free Tier t2.micro and open ports 22 for SSH and 80 for HTTP.
Excellent! And once we have our EC2 instance ready, what follows?
We connect to the EC2 instance and install the web server and MySQL client, and then deploy our web app code.
Let's talk about serverless functions using Lambda. What do we need to set up our DynamoDB table first?
We need to create a DynamoDB table named 'FormSubmissions' with an 'id' as the primary key.
Great! Remember the acronym F.L.O.W - Form, Lambda, Output, Write. What’s next after our table is ready?
Then we create the Lambda function, selecting either Node.js or Python.
Exactly! It’s also important to attach an IAM role with DynamoDB write access. How do we write our function code?
By importing libraries, creating a handler to store the data from the form into DynamoDB.
Spot on! Then we create an API Gateway for a POST endpoint to trigger our Lambda function. Can anyone tell me how we test this?
By using Postman or a frontend form to send requests!
Now, let’s discuss CI/CD pipelines. What’s the first step in setting this up?
We need to prepare our code repository and push our code to GitHub.
Exactly! Let's remember the acronym C.I.P - Code integration and Pipeline. What follows next?
We create a CodePipeline, integrating GitHub OAuth and optionally using AWS CodeBuild.
Yes! After creating the CodePipeline, what do we need to set up for deployments?
We can either deploy it to S3 for static sites or use CodeDeploy for EC2 instances.
Right! Finally, how do we test our pipeline?
By pushing a new commit to GitHub and observing the deployment process.
A service for hosting static websites, allowing file storage with accessibility settings.
A virtual server service for running web applications.
Managed relational database service for applications needing a database.
A compute service for running code in serverless architecture.
Automation of deployment processes for faster, reliable application delivery.
A user can host their portfolio website on S3 by uploading HTML files and setting proper bucket policies.
A small business can deploy its customer management web application using EC2, connecting it to an RDS database for data storage.
A contact form processing function can be created using Lambda, which stores user submissions into DynamoDB.
Setting up CodePipeline allows developers to automatically deploy updates from GitHub to a web server lessening manual deployment efforts.
For a website so neat, S3's the seat, upload files here, and your site can greet!
Imagine a cloud where all your files meet; S3 is the land where they take a seat, providing light, access, and a place to greet your new visitors as they come to see.
Remember R.E.A.D for deploying with EC2 and RDS: RDS, EC2, Application, Database.
C.I.P. - Code integration and Pipeline for setting up a CI/CD process.
Term
What is Amazon S3?
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Term
What does EC2 stand for?
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Term
What is AWS Lambda?
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Term
Explain CI/CD.
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A scalable object storage service for storing and retrieving any amount of data.
Amazon Elastic Compute Cloud, allowing users to run virtual servers on the cloud.
Amazon Relational Database Service, allowing users to set up and manage relational databases.
A serverless compute service that runs code in response to events without provisioning servers.
Continuous Integration and Continuous Deployment, a method to automate code deployment.
The section outlines goals for practical AWS projects to help learners apply their theoretical knowledge through hands-on experience.
This section details the objectives for various AWS projects aimed at consolidating the learner's understanding of AWS services through real-world application, focusing on tasks such as hosting websites, deploying web applications, creating serverless functions, and setting up CI/CD pipelines.
This section articulates the goals of practical application of AWS services through four distinct projects. Each project aims to enhance understanding and competence in using AWS in solving real-world problems and deploying functional applications. The projects range from hosting static websites on S3 to deploying dynamic web applications on EC2 and RDS, implementing serverless architecture with Lambda, and establishing CI/CD pipelines for automated deployments. The overarching goal is to equip learners with the confidence to build, secure, and manage applications in the cloud effectively.