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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'll be starting with hosting a static website on Amazon S3. Can anyone tell me what S3 stands for?
Isn’t it Simple Storage Service?
Exactly! It's a simple storage service provided by AWS. To host a static website, we first prepare our HTML, CSS, and JS files. What do you think the first step is?
We need to create the index.html and error.html files, right?
Correct! We need those two files as part of our website structure. Once that’s done, what’s the next step?
We log in to the AWS Console and go to the S3 Dashboard?
Right again! After that, we create a new bucket. What's important about the bucket name?
It has to be globally unique.
Correct! Lastly, we’ll set the bucket policy to make our files public. That’s crucial for accessing the static website. Let’s summarize what we learned: First, prepare files, then create the bucket, upload files, enable static hosting, and set public access.
Next, let's delve into deploying a web application. Who can explain what EC2 stands for?
Elastic Compute Cloud!
That’s right! We’ll use EC2 for hosting a web application. First, we need to create an RDS instance. What type of database do we usually choose?
MySQL is commonly used.
Correct! Make sure to set the instance to be publicly accessible if you're testing. After creating the RDS instance, what comes next?
We launch an EC2 instance!
Precisely! When launching, we should choose Amazon Linux. Remember to open the necessary ports. What ports do we need to open?
Ports 22 for SSH and 80 for HTTP.
Well done! That's critical for connectivity. Lastly, we can deploy our web app code. Summarizing, create an RDS instance, launch an EC2 instance, install the required software, and deploy our application.
Now, let’s explore serverless functions using AWS Lambda. So, what exactly do we do with Lambda?
It allows us to run code without provisioning servers!
Exactly! Let’s say we want to process form submissions. What’s the first step we take?
We need to create a DynamoDB table for submissions?
Good! We create a table called FormSubmissions with a primary ID key. Now, can anyone explain how we create the Lambda function?
We choose a programming language, like Node.js or Python and set the IAM role to allow Lambda write access to our DynamoDB table.
Exactly! Finally, we can set up an API Gateway to trigger our Lambda function. What should we enable for our API?
We enable CORS for better integration!
Perfect! To recap: We create a DynamoDB table, develop a Lambda function, and set up an API Gateway.
Lastly, let’s cover CI/CD pipelines. Who can tell me why CI/CD is important?
It automates code deployments and improves efficiency!
Exactly! To start, we need a code repository. What do we use to host our code?
GitHub is a popular choice.
Right! After pushing code to GitHub, we create a CodePipeline. What are the components of a CodePipeline?
Source, build, and deploy stages!
Exactly! And what do we configure for deployments?
We can deploy to S3 for static sites or CodeDeploy for EC2 instances.
Correct! Let’s summarize: we set up a GitHub repository, create a CodePipeline with source, build, and deploy stages.
Using S3 to host HTML, CSS, and JS files for web access.
Using EC2 and RDS to deploy applications with database support.
Leveraging Lambda to build applications without managing servers.
Automating application deployment for efficient updates.
S3, S3, hosting is so free, upload a file, as easy as can be!
Imagine you're a builder, and S3 is a storage warehouse where you place your website's bricks - HTML, CSS, and JavaScript - to build your site!
Remember the steps to deploy a web app: 'R-E-D - Run, Enable, Deploy.'
CI/CD - Continuous Integration, Continuous Deployment.
Term
What does RDS stand for?
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Term
What is AWS Lambda used for?
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Term
Name two primary components of AWS CI/CD.
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Scalable storage service for web applications, allowing users to host static websites.
Elastic Compute Cloud, a web service that provides resizable compute capacity in the cloud.
Relational Database Service, a managed database service that allows users to run various database engines.
A compute service that runs code in response to events without provisioning or managing servers.
A NoSQL database service that provides fast and predictable performance.
Continuous Integration and Continuous Delivery, a set of practices to automate software deployment.
A service for creating, publishing, maintaining, monitoring, and securing RESTful APIs at any scale.
The section outlines the objectives for hands-on AWS projects to apply theoretical knowledge practically.
This section focuses on real-world projects in AWS, guiding learners through hosting a static website, deploying a web application, implementing serverless functions, and setting up automated CI/CD pipelines. These practical applications aim to ensure students gain confidence while using AWS services.
This section serves as the foundational goal for the upcoming AWS projects detailed in Chapter 9. It emphasizes applying previously acquired theoretical knowledge into a hands-on, practical learning environment. The projects are structured to help learners build confidence while using various AWS services by solving actual challenges related to web hosting and application deployment.
The projects include:
Through these projects, students will gain hands-on experience with essential AWS services like S3, EC2, RDS, Lambda, and CodePipeline, which is crucial for managing real-world applications in the cloud.