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Learn it your way
A short class with Sarah and her students. The other ways are under More.
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Today we will learn how to host a static website using Amazon S3. Does anyone know what S3 is?
Isn't it a storage service in AWS?
Exactly! S3 stands for Simple Storage Service, and it's great for hosting static files. What files do we typically need for a static website?
HTML, CSS, and JavaScript files!
Correct! The first step is to prepare those files. After that, we will create a unique bucket in AWS. What do you think the bucket's name requirement is?
It needs to be globally unique, right?
That's right! After creating our bucket, we will disable the 'Block all public access' permission. Why do we need to do that?
To allow people to access our website!
Exactly! We then upload our files and enable static website hosting. Can anyone tell me the final step before accessing the website?
We need to set the bucket policy to make the files public, right?
Correct! This policy allows public read access. Remember, it’s simply a JSON format. Great job everyone! Let's summarize: we created a bucket, changed permissions, uploaded files, enabled hosting, and set the policy.
Now, let’s talk about deploying a dynamic web application using EC2 and RDS. Who can remind me what EC2 stands for?
Elastic Compute Cloud!
Exactly! And RDS stands for Relational Database Service. Let's discuss the first step. What do we need to create in RDS?
A MySQL instance!
That's correct! Next, we launch an EC2 instance. What's the importance of opening ports 22 and 80?
Port 22 is for SSH access and 80 for HTTP traffic.
Great! After connecting, we install the web server. Can anyone recall the command for installing PHP and MySQL client?
We use 'sudo yum install -y httpd php php-mysqlnd'!
Excellent! Once deployed, we should test the connection to RDS. Why is testing essential?
To ensure the app can access the database correctly!
Exactly! Well done, everyone! Let’s recap: we set up RDS, launched EC2, connected, installed the server, and deployed our application.
Next, we will create a serverless function using AWS Lambda. Can anyone explain what serverless means?
It means we don't have to manage the server ourselves!
Exactly! In this project, we will create a DynamoDB table first. What should we name our table?
FormSubmissions.
Correct! We'll set the primary key as 'id'. Next, we create the Lambda function. Which language options do we have?
Node.js or Python!
Great! After writing our function code, we need to create an API Gateway. Why is this step important?
It allows us to trigger the Lambda function via HTTP requests.
Exactly! Don’t forget to enable CORS for the API. Let’s summarize: we created a table, a Lambda function, and set up an API Gateway.
Finally, let’s discuss setting up a CI/CD pipeline. Who can explain what CI/CD stands for?
Continuous Integration and Continuous Deployment!
Correct! The pipeline automates our deployment process. What’s the first step we need to take?
We need to push our code to a GitHub repository.
Exactly! After that, we create a CodePipeline. Can anyone tell me the components we need to configure?
We need to set the source to GitHub, then configure the build and deploy stages.
Well done! CodeDeploy will be necessary for our deployment. Why is it important to install the CodeDeploy agent on our EC2 instance?
So the instance can receive deployment instructions!
Exactly! Let's recap: we prepared our repository, created the pipeline, configured CodeDeploy, and tested it with a commit!
A scalable storage service for hosting static websites and files.
Virtual servers in AWS for running applications.
A managed database service for relational database needs.
A serverless service for executing code without provisioning servers.
An automated process for integrating and deploying code changes.
With S3, your site can be free, just host it right, on AWS delight!
Imagine building a café (your app) where all orders (data) come from a magical server (Lambda) that connects them to your inventory (DynamoDB), creating a seamless experience.
To remember the steps in hosting a static site: Bucket, Files, Policy, Hosting = BFPH.
For CI/CD, think of CAVE: Continuous Automation of Versions and Events.
Term
What is Amazon S3?
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Term
What does CI/CD stand for?
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Term
What is the purpose of Lambda?
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Amazon Simple Storage Service, a scalable storage service for static files.
Amazon Elastic Compute Cloud, a web service that provides resizable compute capacity.
Amazon Relational Database Service, a managed relational database service.
AWS Lambda, a serverless compute service that runs code in response to events.
A fully managed NoSQL database service provided by AWS.
Continuous Integration and Continuous Deployment, a method for automating deployment tasks.
A resource-based policy that defines access permissions for an S3 bucket.
This section outlines step-by-step procedures for hands-on AWS projects, enabling learners to practically implement cloud services.
The section provides detailed steps for multiple real-world AWS projects, from hosting a static website on S3 to setting up CI/CD pipelines. Each project serves as a practical application of AWS concepts learned in previous chapters, enhancing students' confidence in using cloud technologies.
This section offers a comprehensive overview of practical AWS projects designed to bridge theoretical concepts from earlier chapters with real-world implementations. Each project highlights key AWS services and represents an actionable pathway for students to gain hands-on experience.
These projects serve as a practical guide for deploying real-world applications in AWS, ultimately preparing students for confidence in cloud environments.