Search the courses, subjects, tracks, games and features, or jump straight to a page.
Learn it your way
A short class with Sarah and her students. The other ways are under More.
Sign up free to listen. Transcripts are free to read.
Today, we're going to explore how to host a static website using Amazon S3. Can anyone tell me what S3 stands for?
Is it Simple Storage Service?
Correct! S3 stands for Simple Storage Service. It allows you to store and retrieve any amount of data from anywhere on the web. Now, let’s discuss what steps we need to take to host a website. Who can list the first few steps?
We need to prepare the website files first, right?
Exactly! Preparing your website files, including an index.html and error.html, is the first step. Let's also remember this as 'PIC' - Prepare, Import, Configure. Can anyone tell me what comes next?
We log into the AWS Console and go to the S3 dashboard.
Yes! Then we create a new bucket. Remember, the bucket name must be globally unique. How do we make our website public?
By disabling 'Block all public access' under Permissions and setting the bucket policy!
Great job! Let's summarize: to host a static website on S3, we must prepare our files, log in to S3, create a bucket, upload our files, and adjust permissions. Understanding these concepts is key!
Next, we will discuss deploying a web application using EC2 and RDS. What is EC2?
Amazon Elastic Compute Cloud?
That's right! EC2 provides resizable compute capacity. Now, if we're deploying a PHP and MySQL application, where should we start?
We start by creating an RDS instance, right?
Exactly! And while doing that, what settings can we use for free tier access?
We can use MySQL with Free Tier settings and make it publicly accessible!
Fantastic! Once we have the RDS instance, we launch an EC2 instance. What key ports do we need to open?
Ports 22 for SSH and 80 for HTTP!
Great! To summarize, we create an RDS instance, launch EC2, and ensure necessary connectivity. This is critical for deploying dynamic web applications.
Let's dive into serverless applications using AWS Lambda. What is a key advantage of using Lambda?
It allows us to run code without provisioning servers!
Exactly! Today we'll create a Lambda function that processes form inputs. What do we start with?
We need to create a DynamoDB table first!
That's correct! We will name our table 'FormSubmissions', and what should the primary key be?
The primary key should be 'id'.
Excellent! After the table is set up, we create a Lambda function. Can anyone tell me how we connect that function to DynamoDB?
By attaching an IAM role with DynamoDB write access!
Great! Remember, to summarize our steps: create DynamoDB, Lambda function with IAM roles, and write the function code! This understanding enables us to utilize serverless architectures!
Finally, let’s set up a CI/CD pipeline! Can anyone explain what CI/CD stands for?
Continuous Integration and Continuous Deployment!
Correct! What is the first step we need to take to set this up?
We have to prepare our code repository and push our code to GitHub!
Exactly! After that, we create CodePipeline. What do we configure as our source?
GitHub, using OAuth integration!
Great! And then what options do we have for deploying?
We can deploy to S3 for static sites or use CodeDeploy for EC2.
Well done! Remember our acronym 'SCD' - Source, CodeBuild, Deploy. It's crucial to understand each stage of CI/CD pipelines!
A scalable storage solution for static website hosting.
A cloud computing service providing virtual servers.
Managed database service for relational database management.
Runs backend code in a serverless environment.
Streamlining application development and deployment.
S3, it's the key, to store all you see, from images to code, it's easy and free!
Imagine a small store (your S3 bucket) where you keep all your items (files) organized and accessible whenever you or customers need to view them online.
To remember the steps for a website on S3: P.I.C.K - Prepare files, Import to S3, Configure settings, Know permissions.
To recall EC2, just remember E.C.C. - Elastic Cloud Compute for your application needs!
Term
What does S3 stand for?
Click to flip
Term
What is the function of EC2?
Click to flip
Term
What is RDS used for?
Click to flip
Term
Define AWS Lambda.
Click to flip
Term
What does CI/CD stand for?
Click to flip
A scalable storage service that allows users to store and retrieve any amount of data.
Amazon Elastic Compute Cloud, a web service that provides resizable compute capacity in the cloud.
Relational Database Service, a managed relational database service for database management.
A serverless computing service that allows you to run code without provisioning servers.
Continuous Integration and Continuous Deployment, practices for software development to automate changes and deployments.
A fully managed NoSQL database service provided by AWS.
A fully managed service for building and deploying APIs at any scale.
A continuous delivery service for fast and reliable application updates.
A deployment service that automates code deployments to any instance.
A resource-based policy that specifies permissions for an Amazon S3 bucket.
This section covers practical AWS projects aimed at applying theoretical knowledge to real-world scenarios.
In this section, learners engage in hands-on AWS projects designed to build confidence and skills in deploying applications and managing infrastructure. The projects include hosting static websites, deploying dynamic applications, implementing serverless functions, and setting up CI/CD pipelines.
This section focuses on applying the theoretical knowledge gained from previous chapters into practical AWS projects. The hands-on experience is divided into four key projects:
Hosting a Static Website on Amazon S3: This project guides learners through the process of creating a fully functional static website by using Amazon S3, detailing each step from file preparation to public access.
Deploying a Web Application Using EC2 and RDS: Students learn how to deploy a dynamic web application using EC2 for hosting and RDS for database management, emphasizing practical skills such as connecting to instances and uploading application code.
Implementing a Serverless Function with AWS Lambda: This project introduces serverless architecture, covering how to create a Lambda function that stores user inputs in DynamoDB, fostering a deeper understanding of event-driven programming in the cloud.
Setting Up a CI/CD Pipeline for Automated Deployments: This section teaches learners about Continuous Integration and Continuous Deployment (CI/CD), illustrating how to automate deployment processes from GitHub to AWS environments.
Each project builds on foundational concepts, providing a comprehensive base for developing and managing scalable applications within the AWS ecosystem.