Steps - 9.3.2 | Chapter 9: Real-World Projects and Use Cases | AWS Basic
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9.3.2 - Steps

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Interactive Audio Lesson

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Hosting a Static Website on Amazon S3

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0:00
Teacher
Teacher

Today we will learn how to host a static website using Amazon S3. Does anyone know what S3 is?

Student 1
Student 1

Isn't it a storage service in AWS?

Teacher
Teacher

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?

Student 2
Student 2

HTML, CSS, and JavaScript files!

Teacher
Teacher

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?

Student 3
Student 3

It needs to be globally unique, right?

Teacher
Teacher

That's right! After creating our bucket, we will disable the 'Block all public access' permission. Why do we need to do that?

Student 4
Student 4

To allow people to access our website!

Teacher
Teacher

Exactly! We then upload our files and enable static website hosting. Can anyone tell me the final step before accessing the website?

Student 1
Student 1

We need to set the bucket policy to make the files public, right?

Teacher
Teacher

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.

Deploying a Web Application Using EC2 and RDS

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0:00
Teacher
Teacher

Now, let’s talk about deploying a dynamic web application using EC2 and RDS. Who can remind me what EC2 stands for?

Student 2
Student 2

Elastic Compute Cloud!

Teacher
Teacher

Exactly! And RDS stands for Relational Database Service. Let's discuss the first step. What do we need to create in RDS?

Student 1
Student 1

A MySQL instance!

Teacher
Teacher

That's correct! Next, we launch an EC2 instance. What's the importance of opening ports 22 and 80?

Student 3
Student 3

Port 22 is for SSH access and 80 for HTTP traffic.

Teacher
Teacher

Great! After connecting, we install the web server. Can anyone recall the command for installing PHP and MySQL client?

Student 4
Student 4

We use 'sudo yum install -y httpd php php-mysqlnd'!

Teacher
Teacher

Excellent! Once deployed, we should test the connection to RDS. Why is testing essential?

Student 2
Student 2

To ensure the app can access the database correctly!

Teacher
Teacher

Exactly! Well done, everyone! Let’s recap: we set up RDS, launched EC2, connected, installed the server, and deployed our application.

Implementing a Serverless Function with AWS Lambda

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0:00
Teacher
Teacher

Next, we will create a serverless function using AWS Lambda. Can anyone explain what serverless means?

Student 3
Student 3

It means we don't have to manage the server ourselves!

Teacher
Teacher

Exactly! In this project, we will create a DynamoDB table first. What should we name our table?

Student 4
Student 4

FormSubmissions.

Teacher
Teacher

Correct! We'll set the primary key as 'id'. Next, we create the Lambda function. Which language options do we have?

Student 1
Student 1

Node.js or Python!

Teacher
Teacher

Great! After writing our function code, we need to create an API Gateway. Why is this step important?

Student 2
Student 2

It allows us to trigger the Lambda function via HTTP requests.

Teacher
Teacher

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.

Setting Up a CI/CD Pipeline for Automated Deployments

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0:00
Teacher
Teacher

Finally, let’s discuss setting up a CI/CD pipeline. Who can explain what CI/CD stands for?

Student 4
Student 4

Continuous Integration and Continuous Deployment!

Teacher
Teacher

Correct! The pipeline automates our deployment process. What’s the first step we need to take?

Student 3
Student 3

We need to push our code to a GitHub repository.

Teacher
Teacher

Exactly! After that, we create a CodePipeline. Can anyone tell me the components we need to configure?

Student 2
Student 2

We need to set the source to GitHub, then configure the build and deploy stages.

Teacher
Teacher

Well done! CodeDeploy will be necessary for our deployment. Why is it important to install the CodeDeploy agent on our EC2 instance?

Student 1
Student 1

So the instance can receive deployment instructions!

Teacher
Teacher

Exactly! Let's recap: we prepared our repository, created the pipeline, configured CodeDeploy, and tested it with a commit!

Introduction & Overview

Read a summary of the section's main ideas. Choose from Basic, Medium, or Detailed.

Quick Overview

This section outlines step-by-step procedures for hands-on AWS projects, enabling learners to practically implement cloud services.

Standard

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.

Detailed

Steps in AWS Projects

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.

Project Overview:

  • Project 1: Hosting a Static Website on Amazon S3 - This project guides users through hosting a static HTML/CSS/JS website with public access configured on S3, focusing on steps such as bucket creation, file uploads, and setting permissions.
  • Project 2: Deploying a Web Application Using EC2 and RDS - In this project, students learn how to deploy a dynamic web application using PHP and MySQL hosted on an EC2 instance, alongside an RDS database.
  • Project 3: Implementing a Serverless Function with AWS Lambda - This segment covers creating a serverless application that processes form data with a Lambda function linked to DynamoDB.
  • Project 4: Setting Up a CI/CD Pipeline for Automated Deployments - Finally, this project introduces the automation of deployments through a CI/CD pipeline incorporating AWS CodePipeline and CodeDeploy, leveraging GitHub repositories as the source.

These projects serve as a practical guide for deploying real-world applications in AWS, ultimately preparing students for confidence in cloud environments.

Audio Book

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Hosting a Static Website on Amazon S3

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  1. Prepare your website files:
  2. Create an index.html and error.html page.
  3. Login to AWS Console and go to the S3 Dashboard.
  4. Create a new bucket:
  5. Bucket name must be globally unique.
  6. Disable "Block all public access" under Permissions.
  7. Upload website files to the bucket.
  8. Enable static website hosting:
  9. Go to the bucket's Properties tab.
  10. Enable Static website hosting and set index/error documents.
  11. Set Bucket Policy to make files public:
   {
     "Version": "2012-10-17",
     "Statement": [
       {
         "Sid": "PublicReadGetObject",
         "Effect": "Allow",
         "Principal": "*",
         "Action": "s3:GetObject",
         "Resource": "arn:aws:s3:::your-bucket-name/*"
       }
     ]
   }
  1. Access your website using the S3 website endpoint.

Detailed Explanation

This chunk covers the steps for hosting a static website on AWS S3:
1. Prepare your website files: Start by creating the necessary HTML files, the main index, and an error page to handle any navigation issues.
2. Login to AWS Console: Use your credentials to access your AWS account and navigate to the S3 dashboard.
3. Create a new bucket: Buckets are like folders in S3. Ensure you choose a unique name that no other user has taken. Also, be sure to adjust the permission settings to allow public access.
4. Upload your files: Transfer your prepared website files into the newly created S3 bucket.
5. Enable static website hosting: In the properties of your S3 bucket, turn on static website hosting and link your index and error documents.
6. Set Bucket Policy: Implement the provided JSON policy to allow public access to your website files. This is crucial for making your website reachable by anyone on the internet.
7. Access your website: Use the S3 endpoint to view your hosted static website in a web browser.

Examples & Analogies

Think of S3 as a modern post office, and hosting a static website is like sending out invitations for an event. You create the invitation (the website files), place it in the unique mailbox (the S3 bucket), and ensure anyone can come and read it. By setting the correct policies, you're basically putting up a welcome sign for your guests (website visitors) so they can easily access your event (website).

Deploying a Web Application Using EC2 and RDS

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  1. Create an RDS Instance:
  2. Choose MySQL.
  3. Use Free Tier settings.
  4. Set username/password and database name.
  5. Make it publicly accessible for testing.
  6. Launch an EC2 instance:
  7. Choose Amazon Linux 2.
  8. Use Free Tier t2.micro.
  9. Open ports 22 (SSH), 80 (HTTP).
  10. Connect to EC2 via SSH and install web server + MySQL client:
   sudo yum update -y
   sudo yum install -y httpd php php-mysqlnd
   sudo systemctl start httpd
   sudo systemctl enable httpd
  1. Deploy Web App Code:
  2. Upload using SCP or create manually.
  3. Include a DB connection script pointing to your RDS endpoint.
  4. Test Connection to RDS and browse app using EC2 public IP.

Detailed Explanation

This chunk details how to deploy a dynamic web application using EC2 and RDS:
1. Create an RDS Instance: Start by setting up a MySQL database instance on RDS that will store your application's data. Make sure to use free-tier settings to avoid charges.
2. Launch an EC2 Instance: Choose an EC2 instance type that fits your needs and make sure it runs Amazon Linux. Start the instance and ensure you configure the necessary ports (SSH and HTTP) for access.
3. Connect to EC2: Use SSH to connect to your instance, then perform updates and install the necessary software (web server and PHP) needed to run your web application.
4. Deploy Web App Code: Transfer your application code to the EC2 server, making sure it includes a connection to your RDS database so they can communicate.
5. Test: Once everything is set, check the connection to your database and use the EC2 public IP to access your application in your web browser.

Examples & Analogies

Consider EC2 as renting an apartment to run a business, and RDS is akin to storing important files in a secure external locker. You set up the apartment (EC2) to host your team (web application) and ensure you have a secure place (RDS) for your critical business documents (database). Connecting the two allows your team to access the documents they need to do their work efficiently.

Implementing a Serverless Function with AWS Lambda

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  1. Create a DynamoDB Table:
  2. Table name: FormSubmissions
  3. Primary key: id
  4. Create a Lambda Function:
  5. Choose Node.js or Python.
  6. Attach IAM role with DynamoDB write access.
  7. Write Function Code (example in Python):
   import json
   import boto3
   import uuid
   def lambda_handler(event, context):
   db = boto3.resource('dynamodb')
   table = db.Table('FormSubmissions')
   data = json.loads(event['body'])
   table.put_item(Item={
   'id': str(uuid.uuid4()),
   'name': data['name'],
   'email': data['email']
   })
   return {
   'statusCode': 200,
   'body': json.dumps('Data saved successfully!')
   }
  1. Create API Gateway:
  2. Setup POST endpoint to trigger Lambda.
  3. Enable CORS.
  4. Deploy API and test using Postman or a frontend form.

Detailed Explanation

Here, we explore how to create a serverless function using AWS Lambda:
1. Create a DynamoDB Table: Start by defining a table in DynamoDB where your form submissions will be stored. Name it appropriately and select a primary key.
2. Create a Lambda Function: Next, set up an AWS Lambda function using either Node.js or Python programming. Make sure to link it to an IAM role that grants access to write to DynamoDB.
3. Write Function Code: Implement the function code to handle incoming requests. The code should save form data to your DynamoDB table.
4. Create API Gateway: To accept form submissions, set up an API Gateway that interfaces with your Lambda function, allowing external applications to send requests (this can be done with POST methods).
5. Deploy and Test: Finally, deploy your API and use tools like Postman to send test data, ensuring the data saves correctly and the system behaves as expected.

Examples & Analogies

Imagine Lambda as a chef in a restaurant who only cooks when an order is placed (event-driven), and DynamoDB as the restaurant’s pantry where all the ingredients (data) are stored. When a customer completes a form (places an order), the chef (Lambda function) retrieves the ingredients (data), prepares a dish (saves data), and serves it, creating a seamless experience for the customer without needing to have staff occupying the kitchen until there’s an order.

Setting Up a CI/CD Pipeline for Automated Deployments

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  1. Prepare Code Repository:
  2. Push website/app code to a GitHub repository.
  3. Create CodePipeline:
  4. Source: GitHub (OAuth integration)
  5. Build: AWS CodeBuild (optional, or use passthrough)
  6. Deploy:
    • S3: for static sites
    • CodeDeploy: for EC2
  7. Create CodeDeploy Application and Deployment Group:
  8. Attach IAM roles and EC2 tags.
  9. Install CodeDeploy agent on EC2 instance.
  10. Configure appspec.yml for CodeDeploy:
   version: 0.0
   os: linux
   files:
   - source: /
   destination: /var/www/html
   hooks:
   AfterInstall:
   - location: scripts/restart_server.sh
   timeout: 60
   runas: root
  1. Test the Pipeline:
  2. Push a new commit to GitHub.
  3. Watch it flow through the pipeline and deploy automatically.

Detailed Explanation

This chunk presents the steps to set up a CI/CD pipeline:
1. Prepare Code Repository: Start by storing your application or website code in a GitHub repository. This serves as the source of truth for your project.
2. Create CodePipeline: Next, set up an automated pipeline that connects your GitHub repository to AWS services like CodeBuild (for building the app) and S3 or CodeDeploy for deploying the application live.
3. Create CodeDeploy Application and Group: Define your deployment application within CodeDeploy and configure it along with EC2 instances for deployment.
4. Configure appspec.yml: Write a configuration file that outlines how CodeDeploy should handle your application deployment, including any necessary scripts to run post-installation.
5. Test the Pipeline: Finally, to see everything in action, make a small change to your code (commit) in GitHub and observe how the pipeline automatically processes this, builds, and deploys the change to your live site.

Examples & Analogies

Think of CI/CD pipelines as a factory assembly line. The repository is where raw materials (code) are stored, and the pipeline acts like the conveyor belt that takes those materials through various stagesβ€”first preparing them for production (building), followed by assembling (deploying to S3 or EC2), and finally ensuring the product (application) is tested and ready for use. Any updates sent down the assembly line trigger the whole process to repeat, ensuring everything is up to date and working efficiently.

Definitions & Key Concepts

Learn essential terms and foundational ideas that form the basis of the topic.

Key Concepts

  • S3: A scalable storage service for hosting static websites and files.

  • EC2: Virtual servers in AWS for running applications.

  • RDS: A managed database service for relational database needs.

  • Lambda: A serverless service for executing code without provisioning servers.

  • CI/CD: An automated process for integrating and deploying code changes.

Examples & Real-Life Applications

See how the concepts apply in real-world scenarios to understand their practical implications.

Examples

  • Hosting a personal blog on Amazon S3 using HTML files.

  • Running a PHP application on an EC2 instance connected to a MySQL RDS database.

  • Creating a web form that submits data to a DynamoDB table via an AWS Lambda function.

Memory Aids

Use mnemonics, acronyms, or visual cues to help remember key information more easily.

🎡 Rhymes Time

  • With S3, your site can be free, just host it right, on AWS delight!

πŸ“– Fascinating Stories

  • Imagine building a cafΓ© (your app) where all orders (data) come from a magical server (Lambda) that connects them to your inventory (DynamoDB), creating a seamless experience.

🧠 Other Memory Gems

  • To remember the steps in hosting a static site: Bucket, Files, Policy, Hosting = BFPH.

🎯 Super Acronyms

For CI/CD, think of CAVE

  • *C*ontinuous *A*utomation of *V*ersions and *E*vents.

Flash Cards

Review key concepts with flashcards.

Glossary of Terms

Review the Definitions for terms.

  • Term: S3

    Definition:

    Amazon Simple Storage Service, a scalable storage service for static files.

  • Term: EC2

    Definition:

    Amazon Elastic Compute Cloud, a web service that provides resizable compute capacity.

  • Term: RDS

    Definition:

    Amazon Relational Database Service, a managed relational database service.

  • Term: Lambda

    Definition:

    AWS Lambda, a serverless compute service that runs code in response to events.

  • Term: DynamoDB

    Definition:

    A fully managed NoSQL database service provided by AWS.

  • Term: CI/CD

    Definition:

    Continuous Integration and Continuous Deployment, a method for automating deployment tasks.

  • Term: Bucket Policy

    Definition:

    A resource-based policy that defines access permissions for an S3 bucket.