Build and manage a resilient service using an AWS SDK

Overview

This example shows how to use AWS SDKs to create a load-balanced web service that returns book, movie, and song recommendations. It shows how the service responds to failures and how to restructure the service for more resilience when failures occur.

Several components are used to demonstrate the resilience of the example web service:

• Amazon EC2 Auto Scaling is used to create Amazon Elastic Compute Cloud (Amazon EC2) instances based on a launch template and to keep the number of instances in a specified range.
• Elastic Load Balancing handles HTTP requests, monitors the health of instances in the Auto Scaling group, and dispatches requests to healthy instances.
• A Python web server runs on each EC2 instance to handle HTTP requests. It responds with recommendations and health checks.
• An Amazon DynamoDB table simulates a recommendation service that the web server depends on to get recommendations.
• A set of AWS Systems Manager parameters control web server response to requests and health checks to simulate failures and demonstrate resiliency.

Each of these components is created and managed by using AWS SDKs as part of an interactive demo that runs at a command prompt.

Implementations

This example is implemented in the following languages:

• Python
• .NET
• JavaScript
• Java

Additional reading

• Community.aws: How to build and manage a resilient service using AWS SDKs

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