This project provides a two-step process to analyze and visualize AWS Batch workloads. It includes:

1. Analytics Stack: Captures job metrics and insights from AWS Batch and stores them in DynamoDB.
2. Spot Viewer Stack (Optional): Visualizes On-Demand vs. Spot cost insights for AWS Batch jobs, helping optimize workloads.

• Monitor AWS Batch jobs and collect insights such as instance IDs, retries, interruptions, and runtime into DynamoDB.

• EventBridge Rule: Triggers a Lambda function for Batch job state changes.
• Lambda Function: Processes job data from AWS Batch and ECS, then stores it in DynamoDB.

• UniquePrefix: A unique prefix for resource naming (e.g., project-name or a random string).
• BatchComputeEnvironmentName: Name of the AWS Batch Compute Environment to monitor.

• DynamoDBTableName: Name of the DynamoDB table storing job metrics.
• LambdaFunctionName: Name of the Lambda function processing job state changes.

• Provides visual insights into AWS Batch workloads, comparing On-Demand and Spot costs with MemVerge enhancements.

• Deploys an EC2 instance hosting a Flask-based web application.
• Two visualization options:
  • On-Demand Metrics: /on-demand.html
  • Spot Metrics with MemVerge Enhancements: /spot.html
• Cost analysis for AWS Batch jobs:
  • On-Demand vs. Spot.
  • Savings potential with MemVerge.

• UniquePrefix: The same prefix used in Stack 1 for consistent integration.
• VpcId: VPC ID for the EC2 instance.
• SubnetId: Subnet ID for the EC2 instance.
• KeyName: Key Pair for SSH access.

• SpotViewerEC2InstanceId: ID of the EC2 instance hosting the Spot Viewer.
• PublicIP: Public IP of the EC2 instance for accessing the web interface.

1. Deploy Stack 1:

   • Use AWS CloudFormation to deploy the Analytics stack.
   • Provide the required parameters: UniquePrefix and BatchComputeEnvironmentName.

2. Deploy Stack 2 (Optional):

   • Use AWS CloudFormation to deploy the Spot Viewer stack.
   • Provide the required parameters: UniquePrefix, VpcId, SubnetId, and KeyName.

3. Access Spot Viewer:

   • Get the Public IP from the stack outputs or EC2 dashboard.
   • Open the following URLs in a browser:
     • On-Demand Metrics: http://<ip_address>:5005/on-demand.html
     • Spot Metrics: http://<ip_address>:5005/spot.html

• Source Code:

  • API-level details: doc/
  • Lambda and HTML code: resources/

• Note: Make sure to use the same UniquePrefix across both stacks to ensure proper integration.

This project is licensed under the Apache License 2.0 - see the LICENSE file for details