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Today, we're going to learn how to host a static website on Amazon S3. What do you think a static website consists of?
I think it has HTML, CSS, and maybe some JavaScript!
Exactly! Static websites are built using those technologies. The goal here is to create an index.html and error.html page, and then upload them to an S3 bucket. Can anyone tell me what we need to do when creating the S3 bucket?
We have to make sure the bucket name is unique and allow public access!
Right! And remember the 'Block all public access' setting that we have to disable. This is crucial. After that, weβll enable static website hosting. What do we do next?
We upload the website files and set the bucket policy to make them public.
Correct! Fantastic! Finally, we can access our website using the S3 website endpoint. In summary, by following these steps, we can successfully host a static website on S3.
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Now letβs shift our focus to deploying a dynamic web app on EC2 and using RDS for our database. Whatβs the first step we need to take?
We need to create an RDS instance!
Correct! And we will choose MySQL and set it to be publicly accessible for testing. What about the EC2 instance?
We will launch it and make sure to open ports 22 for SSH and 80 for HTTP.
Absolutely! Next, we connect to our EC2 instance and install the web server and MySQL client. Can anyone recall what commands we need to use?
We need to run 'sudo yum update -y' and then 'sudo yum install -y httpd php php-mysqlnd'.
Great! Once we've deployed and tested our web app, we can check the connection to the RDS. This brings us another step closer to deploying dynamic applications in the cloud.
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Moving on, letβs discuss serverless functions using AWS Lambda. Who can tell me what we will use to store form input in our project?
We'll use DynamoDB to store the submissions!
Exactly! First, we need to create a DynamoDB table called 'FormSubmissions' with 'id' as the primary key. Can anyone explain how we'll create our Lambda function?
We choose Node.js or Python and we'll attach an IAM role for DynamoDB access.
Spot on! Writing the function code is next. After we set everything up and create our API Gateway, whatβs the purpose of it?
To trigger our Lambda function using a POST request.
Perfect! This showcases how simple it is to create serverless applications using AWS Lambda.
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Lastly, we are discussing CI/CD pipelines for automated deployments. Why is using CI/CD important for our projects?
It helps automate our deployment process, making it faster and less error-prone!
Exactly! We start by preparing our code repository on GitHub. What comes next after pushing our code?
We create a CodePipeline with GitHub as the source.
Great job! We can also configure the build using AWS CodeBuild. Why is it useful to use 'appspec.yml' with CodeDeploy?
It defines how our deployment will occur and what scripts to run after installation.
Excellent! Once we test the pipeline by pushing a new commit, we can observe our code flow through the CI/CD pipeline with ease.
Read a summary of the section's main ideas. Choose from Basic, Medium, or Detailed.
The section emphasizes the importance of applying AWS theoretical concepts through practical projects, encouraging learners to gain confidence in deploying real-world applications and infrastructure.
In this section, we outline specific projects that facilitate the application of the theoretical knowledge acquired from previous chapters regarding AWS services. These hands-on projects range from hosting static websites on S3 to deploying dynamic web applications on EC2, utilizing database services like RDS, and implementing serverless functions using AWS Lambda. Additionally, the introduction of CI/CD pipelines for automated deployments provides a comprehensive framework for learning. The goal is to build practical skills that empower learners to confidently manage and deploy applications on AWS.
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To apply theoretical knowledge from previous chapters into practical, hands-on AWS projects. These step-by-step projects are designed to help you become confident in using AWS services by solving real-world problems and deploying actual applications and infrastructure.
The objective of these hands-on projects is to take what you have learned theoretically and put it into practice using AWS. By engaging in these step-by-step projects, you will apply your knowledge in real-world scenarios. This approach allows you to build confidence in using AWS services effectively, solving actual problems faced by users, and deploying applications that can be utilized by others.
Think of this like a cooking class: you learn about different ingredients and techniques (theory), but the real confidence comes when you start cooking real dishes (practical application). Just like you wouldn't become a master chef by only reading recipes, you wonβt become proficient in AWS without applying your knowledge to actual projects.
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Key Concepts
Static website hosting: The process of hosting websites with fixed content on services like S3.
Serverless functions: Functions that run in the cloud without the need for server management.
Continuous Delivery: Continuous process of integrating or deploying code to ensure quality and operational speed.
See how the concepts apply in real-world scenarios to understand their practical implications.
Hosting a simple HTML/CSS website on S3 that displays a personal portfolio.
Deploying a PHP application on EC2 with a MySQL backend on RDS.
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
To host a site that's static and nice, S3 is the place that does suffice.
Imagine a wizard, S3, who takes your website files, waves a wand, and makes them visible to the world directly on the web!
Remember ABLE for hosting a website: A - Access, B - Bucket name, L - Load files, E - Enable hosting.
Review key concepts with flashcards.
Review the Definitions for terms.
Term: Amazon S3
Definition:
A scalable object storage service for storing and retrieving any amount of data.
Term: AWS Lambda
Definition:
A serverless compute service that runs code in response to events and triggers.
Term: DynamoDB
Definition:
A fully managed NoSQL database service that provides fast and predictable performance.
Term: EC2
Definition:
Amazon Elastic Compute Cloud, a service that provides resizable compute capacity in the cloud.
Term: CI/CD
Definition:
Continuous Integration/Continuous Deployment, practices for automating the deployment of applications.