Mastering Two-Tier AWS Architectures for Diverse Solutions
Project 1: Architecting Success: Two-Tier AWS Infrastructure for E-commerce Excellence
Scenario:
Meet Alex, an entrepreneur aiming to launch an e-commerce platform for handmade crafts. He envisions a scalable and reliable solution that can handle varying levels of customer traffic. To achieve this, Alex plans to leverage AWS services. The presentation tier will consist of dynamically scalable web servers deployed in an Auto Scaling Group, with a load balancer managing incoming traffic. For the data tier, Alex opts for Amazon RDS to store product information, user data, and order details. Read replicas ensure efficient handling of read-heavy workloads, and automated RDS snapshots guarantee data durability and backup.
Resources to be used:
Presentation Tier:
Auto Scaling Groups for dynamic scaling of web servers.
Application Load Balancer for traffic distribution.
Amazon S3 for hosting static assets.
Data Tier:
Amazon RDS (Relational Database Service) for storing product information, user data, and order details.
Use of read replicas for handling read-heavy workloads.
Automated RDS snapshots for data durability and backup.
Project 2: Beyond Websites: Unleashing the Power of AWS for Content Management
Scenario:
Imagine Emily, a content creator, wants to establish a content management system to efficiently manage and deliver multimedia content. Emily plans to use AWS for its reliability and scalability. In the presentation tier, she deploys EC2 instances in an Auto Scaling Group, utilizing Elastic Load Balancing for traffic distribution. AWS Cognito ensures secure user authentication and authorization. For the data tier, Emily stores content metadata in Amazon DynamoDB, while media files are hosted in Amazon S3 for scalability. Serverless functions, powered by AWS Lambda, handle image processing and resizing.
Resources to be used:
Presentation Tier:
EC2 instances or containers in an Auto Scaling Group.
Elastic Load Balancing for traffic distribution.
AWS Cognito for user authentication and authorization.
Data Tier:
Amazon DynamoDB for storing content metadata.
Amazon S3 for hosting multimedia files.
AWS Lambda for serverless image processing.
Project 3: Data in Motion: Crafting Real-Time Analytics with AWS
Scenario:
Meet James, a data enthusiast aspiring to develop a social media analytics platform for real-time insights. James chooses AWS for its powerful data processing capabilities. The presentation tier comprises a web application deployed on EC2 instances or containers, with CloudFront enhancing content delivery. Real-time data streaming is achieved through Amazon Kinesis, while processed data is stored in Amazon Redshift for analytics. Serverless functions, using AWS Lambda, handle additional data processing tasks, providing James with a scalable and efficient platform.
Resources to be Used:
Presentation Tier:
EC2 instances or containers for the analytics dashboard.
CloudFront for content caching and faster delivery.
AWS CloudWatch for logging and monitoring.
Data Tier:
Amazon Kinesis for real-time data streaming.
Amazon Redshift for storing and analyzing processed data.
AWS Lambda for serverless data processing tasks.
Project 4: Healthy Systems, Secure Cloud: AWS Solutions for Healthcare
Scenario:
Introducing Dr. Patel, a healthcare professional looking to implement a secure and compliant healthcare management system. Dr. Patel opts for AWS to ensure HIPAA compliance and robust security measures. The presentation tier includes web and mobile applications deployed on EC2 instances or containers, secured with AWS IAM and SSL/TLS certificates from AWS Certificate Manager. The data tier relies on Amazon Aurora for a HIPAA-compliant relational database, with encryption in transit and at rest. AWS KMS manages encryption keys, ensuring the protection of sensitive health information.
Resources to be Used:
Presentation Tier:
EC2 instances or containers for web and mobile applications.
AWS IAM for secure access.
AWS Certificate Manager for SSL/TLS certificates.
Data Tier:
Amazon Aurora for a HIPAA-compliant relational database.
Encryption in transit and at rest for sensitive health information.
AWS KMS for managing encryption keys.
Project 5: Elevate Learning: Building Online Platforms with AWS Mastery
Scenario:
Say hello to Jessica, an educator passionate about creating an online learning platform. Jessica wants a scalable and user-friendly solution and turns to AWS for its flexibility. The presentation tier involves deploying web servers using EC2 instances or containers, with AWS Cognito handling user authentication and Elastic Beanstalk simplifying application deployment. Course content is stored in Amazon S3 for scalability, and user progress is tracked in Amazon DynamoDB. AWS Lambda comes into play for handling asynchronous tasks, such as sending notifications, providing Jessica with a robust and scalable online learning platform.
Resources to be Used:
Presentation Tier:
EC2 instances or containers for web servers.
AWS Cognito for user authentication.
AWS Elastic Beanstalk for simplified application deployment.
Data Tier:
Amazon S3 for storing course content.
Amazon DynamoDB for tracking user progress.
AWS Lambda for handling asynchronous tasks, such as notifications.