A Workflow that uses DynamoDB to implement a semaphore
This application demonstrates how to implement control concurrency in your distributed system. This helps you avoid overloading limited resources in your serverless data processing pipeline or reduce availability risk by controlling velocity in your IT automation workflows.
With this sample application, you implement a distributed semaphore using AWS Step Functions and Amazon DynamoDB to control concurrent invocations of a function in AWS Lambda.
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Clone repo
git clone https://github.com/aws-samples/aws-stepfunctions-examples/tree/main/sam/app-control-concurrency-with-dynamodb-tf/cd step-functions-workflows-collection/app-control-concurrency-with-dynamodb-tf/
Deploy
terraform initterraform apply
Testing
See the GitHub repo for detailed testing instructions.
Cleanup
1. Delete the stack:
terraform destroy.Additional resources
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