Day 47: Exploring AWS Elastic Beanstalk and EC2 Tasks
Today, we dive into AWS Elastic Beanstalk, a powerful platform for deploying and scaling web applications. Additionally, we’ll walk through deploying a web game, 2048, on Elastic Beanstalk and testing our knowledge with hands-on tasks involving AWS services like EC2, Auto Scaling, and CloudWatch.
What is AWS Elastic Beanstalk? 🌱
AWS Elastic Beanstalk is a service that simplifies the deployment and scaling of web applications. Designed for developers, it supports multiple programming languages and runtime environments like:
Java
.NET
PHP
Node.js
Python
Ruby
Go
Docker
Why AWS Elastic Beanstalk? 🤔
Before Elastic Beanstalk, developers struggled to share software modules across geographically distributed teams. Elastic Beanstalk solves this problem by providing a platform to easily share and deploy applications across devices.
Advantages of AWS Elastic Beanstalk ✅
Highly Scalable: Automatically handles scaling to meet traffic demands.
Fast and Simple: Easy to begin with minimal configuration.
Quick Deployment: Allows rapid deployment of applications.
Supports Multi-Tenant Architecture: Suitable for diverse users and teams.
Simplifies Operations: Manages infrastructure tasks like provisioning and monitoring.
Cost-Efficient: Pay only for the AWS resources you use.
Components of AWS Elastic Beanstalk 🧩
Application Version: A specific iteration or release of an application’s codebase.
Environment Tier: Infrastructure type (e.g., web server or worker environment).
Environment: Collection of AWS resources running an application version.
Configuration Template: Defines environment settings like instance types and scaling options.
Elastic Beanstalk Environments 🌐
Web Server Environments:
Front-end facing, accessible via URL by clients.Worker Environments:
Backend applications or microservices, often processing tasks asynchronously.
Task 1: Deploying the 2048 Game on AWS Elastic Beanstalk 🎮
Let’s deploy a simple web-based game, 2048, using Elastic Beanstalk.
Steps:
Prepare the Game Application:
Download the 2048 game source code from
GitHub
.Ensure the codebase is zipped for deployment.
Log in to AWS Management Console:
- Navigate to AWS Elastic Beanstalk.
Create a New Application:
Click Create Application.
Provide a name, like "2048 Game".
Choose a Platform:
- Select the runtime environment that matches your game (e.g., Node.js, Python).
Upload the Source Code:
- Upload the zipped game file.
Deploy the Application:
- Click Deploy and wait for Elastic Beanstalk to set up resources.
Test the Game:
- Open the provided URL to ensure the game is running.
Additional Work: AWS Knowledge Tasks 💻 📈
As part of the 90 Days of DevOps Challenge, test your understanding of AWS services with the following hands-on tasks.
Task 1: Launch an EC2 Instance and Deploy a Web Application
Steps:
Launch an EC2 Instance:
Log in to the AWS Management Console.
Navigate to EC2 and launch an instance.
Choose an Amazon Linux AMI.
Connect Using SSH:
Use your terminal or command prompt:
ssh -i "your-key.pem" ec2-user@your-ec2-public-ip
Install a Web Server:
Update the instance:
sudo apt-get update -y
Install Apache:
sudo apt-get install nginx -y sudo systemctl start nginx sudo systemctl enable nginx
Deploy a Simple Web Application:
- Upload your HTML files to
/var/www/html
.
- Upload your HTML files to
Monitor with CloudWatch:
- Set up CloudWatch to monitor CPU utilization and resolve issues.
Task 2: Configure Auto Scaling with AWS
Steps:
Create an Auto Scaling Group:
In the AWS Management Console, navigate to Auto Scaling.
Define scaling policies based on CPU usage or network traffic.
Monitor with CloudWatch:
- Set CloudWatch alarms to track performance metrics.
Verify with AWS CLI:
Use the CLI to ensure correct scaling:
aws autoscaling describe-auto-scaling-groups
Verify instances:
aws ec2 describe-instances
Key Takeaways ✨
AWS Elastic Beanstalk simplifies application deployment and scaling with minimal effort.
EC2 Instances are flexible compute resources for hosting applications and testing configurations.
CloudWatch and Auto Scaling ensure applications remain resilient and cost-efficient under variable workloads.
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