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Interactive Audio Lesson
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Hosting a Static Website on Amazon S3
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Today weβll discuss how to host a static website using Amazon S3. Who can tell me what S3 stands for?
Is it Simple Storage Service?
Exactly! Itβs primarily used to store and retrieve any amount of data. Now, why might we choose S3 for hosting a static website?
Because itβs cost-effective and scalable, right?
Yes, precisely! With S3, you pay only for the storage and bandwidth you use. Now, can anyone summarize the steps to set up a static website?
We need to create a bucket, upload files, and enable static hosting?
Correct! And don't forget about setting the bucket policy to allow public access. As a memory aid, think of 'BUCKET' - 'B' for create a Bucket, 'U' for Upload files, 'C' for Configure settings, 'K' for Keep it public, 'E' for Enable hosting, and 'T' for Test it out. Now, letβs move on to other projects!
Deploying a Web Application Using EC2 and RDS
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Now, letβs delve into deploying a web application using EC2 and RDS. Who can explain what EC2 stands for?
Elastic Compute Cloud!
Great! EC2 allows you to run virtual servers. What about RDS?
Relational Database Service.
Exactly! It helps manage databases in the cloud. Can you guys remember the steps to launch an EC2 instance?
We choose an AMI, select an instance type, and configure security groups?
Correct! And remember the mnemonic 'AMI CEG' - A for AMI, M for instance type, I for Instance details, C for Configure Security Group, and G for Generate key pairs. Excellent work today!
Implementing a Serverless Function with AWS Lambda
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Next, letβs investigate AWS Lambda. What do we know about Lambda?
Lambda allows us to run functions without managing servers!
Correct! Lambda is serverless. Whatβs the first step when creating a function?
We need to create a DynamoDB table?
Yes! And the table will store submission data. As a memory aid, remember 'LAMBDA' - L for Log in, A for Access DynamoDB, M for Manage function code, B for Build API Gateway, D for Deploy the function, and A for the Access endpoint. Letβs keep going!
Setting Up a CI/CD Pipeline for Automated Deployments
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Lastly, weβll discuss setting up a CI/CD pipeline. What do you think CI/CD stands for?
Continuous Integration and Continuous Deployment!
Thatβs right! CI/CD helps in automating the deployment of applications. Whatβs the first step we should take?
We prepare the code repository!
Exactly! And remember the acronym 'PIPELINE' - P for Prepare repo, I for Integrate with CodePipeline, P for Push to GitHub, E for Execute build, L for Launch deployment, I for Install code, N for Notifications, E for Ensure testing. Well done, everyone!
Introduction & Overview
Read a summary of the section's main ideas. Choose from Basic, Medium, or Detailed.
Quick Overview
Standard
This section emphasizes the practical application of AWS services through diverse projects, guiding users to host websites, deploy applications, create serverless functions, and set up CI/CD pipelines. Each project underlines key AWS functionalities and helps users build confidence in their cloud skills.
Detailed
Goal
In this section, we outline the primary objectives of applying theoretical knowledge into practical scenarios by engaging in hands-on AWS projects. The focus is on three main projects aimed at teaching users essential AWS functionalities while solving real-world problems. The projects include hosting a static website on Amazon S3, deploying a dynamic web application using EC2 and RDS, implementing serverless architecture with AWS Lambda, and building a CI/CD pipeline. Each project is tailored to help users gain confidence in utilizing AWS services effectively.
Audio Book
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Project 1: Hosting a Static Website on Amazon S3
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π Goal:
Host a fully functional static website (HTML/CSS/JS) on S3 with public access.
Detailed Explanation
The goal of this project is to host a static website using Amazon S3, which is a storage service offered by AWS. A static website is usually built with HTML, CSS, and JavaScript and has fixed content that does not change based on user interactions. The first step is preparing your website files, creating an index.html file for the homepage and an error.html page for handling errors. Next, you log in to the AWS Console and navigate to the S3 dashboard to create a new storage bucket. Itβs important to give this bucket a globally unique name because no two buckets can share the same name within S3. You must also configure the bucket's settings, such as disabling public access blocking to allow users to view your website. After uploading your website files, you enable static website hosting in the bucket settings by specifying the index and error documents. Finally, you configure a bucket policy to make your content publicly accessible and retrieve your website using the S3 endpoint.
Examples & Analogies
Think of S3 as a big online storage room where you can store all your website files. Hosting your website there is like displaying a poster in a public gallery that anyone can come and see. Just like you need to ensure that your artwork is placed in a visible and accessible part of the gallery, you need to configure settings in S3 to make sure the public can access your static website.
Project 2: Deploying a Web Application Using EC2 and RDS
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π Goal:
Deploy a dynamic web app (e.g., PHP + MySQL) using Amazon EC2 and Amazon RDS.
Detailed Explanation
In this project, the goal is to deploy a dynamic web application using AWS resources, specifically Amazon EC2 and RDS. You're going to start by creating an RDS (Relational Database Service) instance, choosing MySQL as the database type, and setting it up to be publicly accessible for testing. With EC2, you will launch a virtual server (using Amazon Linux 2) that will host your web application. You will need to open SSH and HTTP ports to allow for secure access and web traffic. Once your EC2 instance is ready, you will connect to it via SSH and install the necessary software, including a web server (Apache) and PHP. After the server is prepared, you will upload your web application code. Finally, you will ensure that your application can connect to the RDS instance for database operations and test it by navigating to your EC2 public IP address.
Examples & Analogies
Imagine you're setting up a restaurant (your web application) in a building (EC2 instance). First, you need to get a kitchen (RDS instance) ready where the food is prepared. After setting everything up, you invite customers to come and enjoy the meals (access the web app) you've created, making sure they can easily find your restaurant's location (EC2 public IP).
Project 3: Implementing a Serverless Function with AWS Lambda
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π Goal:
Create a simple AWS Lambda function that processes form input (e.g., a contact form) and stores it in DynamoDB.
Detailed Explanation
This projectβs goal is to create a serverless function using AWS Lambda, which will handle incoming data from a form submission and store it into a DynamoDB database. The process starts with creating a DynamoDB table called 'FormSubmissions' with an 'id' as the primary key to uniquely identify each entry. You will then create a Lambda function, selecting a programming language such as Python or Node.js, and set up the necessary IAM roles that grant permission to write data to the DynamoDB table. The function itself is written to parse the incoming data (like the userβs name and email) from the form submission and store that data in DynamoDB. Additionally, you must configure an API Gateway to provide a HTTP endpoint that will trigger the Lambda function when data is sent. After deploying the API, you will test it using a tool like Postman or a web form.
Examples & Analogies
Think of the Lambda function as a personal assistant who takes care of receiving letters (form submissions) from people. When a letter arrives, the assistant reads it and carefully stores the information in a filing system (DynamoDB). You set up a mailbox (API Gateway) for people to send their letters, making sure your assistant is always ready to help whenever a new letter arrives.
Project 4: Setting Up a CI/CD Pipeline for Automated Deployments
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π Goal:
Set up a pipeline to automatically deploy code changes from GitHub to EC2 or S3.
Detailed Explanation
The goal of this project is to establish a Continuous Integration/Continuous Deployment (CI/CD) pipeline that automates the deployment of code changes from a GitHub repository to either EC2 or S3. The first step is to push your codeβbe it for a website or an applicationβinto a GitHub repository. Then, you create a CodePipeline, which consists of several stages: the source stage where the pipeline detects changes in GitHub, an optional build stage using AWS CodeBuild, and finally the deploy stage where the updated code is sent to either S3 for static websites or CodeDeploy for web applications on EC2. Next, you will set up a deployment group in CodeDeploy, ensuring that necessary roles and tags are assigned. Additionally, you will configure an appspec.yml file, which tells CodeDeploy how to handle the files during the deployment. To test the pipeline, you make a code change and push it to GitHub, observing how the change is automatically deployed through the pipeline.
Examples & Analogies
Imagine a factory assembly line where products (code changes) are built and packaged for delivery. The CI/CD pipeline serves as the assembly line, automatically taking the new designs (updates in GitHub), assembling them into final products (building the code), and then sending them out to stores (deploying to S3 or EC2) without any human intervention. Just like each step in the factory is carefully planned to ensure efficiency, each stage of the CI/CD pipeline is designed to automate software deployment smoothly.
Definitions & Key Concepts
Learn essential terms and foundational ideas that form the basis of the topic.
Key Concepts
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Amazon S3: A cloud based storage that allows hosting static websites.
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EC2: Virtual servers for hosting applications in the AWS cloud.
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RDS: Managed relational database service for web applications.
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AWS Lambda: Service to run code without managing servers.
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CI/CD Pipeline: Automates the deployment and integration process.
Examples & Real-Life Applications
See how the concepts apply in real-world scenarios to understand their practical implications.
Examples
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Example of hosting a simple HTML/CSS website using S3, which can involve file creation, uploading, and setting permissions.
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Example of deploying a PHP web application connected to a MySQL database using EC2 and RDS.
Memory Aids
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
π΅ Rhymes Time
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In the cloud, our website can thrive, with S3, itβs easy to drive.
π Fascinating Stories
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Once upon a time, a developer wanted to host a website. With Amazon S3, they uploaded files with glee, and the world could see their creations!
π§ Other Memory Gems
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LAMBDA: Log in, Access DynamoDB, Manage function code, Build API Gateway, Deploy.
π― Super Acronyms
PIPELINE
- Prepare repo
- Integrate with CodePipeline
- Push to GitHub
- Execute build.
Flash Cards
Review key concepts with flashcards.
Glossary of Terms
Review the Definitions for terms.
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Term: Amazon S3
Definition:
A scalable object storage service for storing and retrieving any amount of data.
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Term: EC2
Definition:
Elastic Compute Cloud; a web service that provides resizable compute capacity in the cloud.
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Term: RDS
Definition:
Relational Database Service; a managed database service that supports multiple database engines.
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Term: DynamoDB
Definition:
A fully managed NoSQL database service that provides fast and predictable performance.
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Term: AWS Lambda
Definition:
A serverless compute service that lets you run code without provisioning or managing servers.
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Term: CI/CD
Definition:
Continuous Integration and Continuous Deployment; a set of practices for automating software development and deployment.