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[Integration][AWS] | Improved Concurrency Control and Eliminated Like…
…lihood of Thundering Herd (#1063) # Description **What:** - Refactored semaphore implementation to effectively limit concurrency across tasks. - Added a util `semaphore_async_iterator` to enable seamless control over concurrent executions per kind (can be re-used in other integrations). - Removed iterative calls to the cache for tracking token expiry, reducing the likelihood of a thundering herd problem. **Why:** - The previous implementation limited concurrency within tasks (accounts), ideally, this use case requires concurrent limits is to be global, thus across accounts. - Iterative cache calls could potentially cause a thundering herd problem when cache expires and token needed to be refreshed. **How:** - Applied the semaphore correctly by wrapping task creation with the semaphore, ensuring proper concurrency control. - Implemented unit tests using `pytest` to verify semaphore functionality and concurrency limits. - Optimized cache usage by eliminating unnecessary iterative calls for tracking expiry. ## Type of change Please leave one option from the following and delete the rest: - [ ] Bug fix (non-breaking change which fixes an issue) - [ ] New feature (non-breaking change which adds functionality) - [ ] New Integration (non-breaking change which adds a new integration) - [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected) - [x] Non-breaking change (fix of existing functionality that will not change current behavior) - [ ] Documentation (added/updated documentation) #### All tests should be run against the port production environment (using a testing org). ### Core testing checklist - [x] Integration able to create all default resources from scratch - [x] Resync finishes successfully - [x] Resync able to create entities - [x] Resync able to update entities - [x] Resync able to detect and delete entities - [x] Scheduled resync able to abort existing resync and start a new one - [x] Tested with at least 2 integrations from scratch - [ ] Tested with Kafka and Polling event listeners - [x] Tested deletion of entities that don't pass the selector ### Integration testing checklist - [x] Integration able to create all default resources from scratch - [x] Resync able to create entities - [x] Resync able to update entities - [x] Resync able to detect and delete entities - [x] Resync finishes successfully - [x] If new resource kind is added or updated in the integration, add example raw data, mapping, and expected result to the `examples` folder in the integration directory. - [x] If resource kind is updated, run the integration with the example data and check if the expected result is achieved - [x] If new resource kind is added or updated, validate that live-events for that resource are working as expected - [ ] Docs PR link [here](#) ### Preflight checklist - [x] Handled rate limiting - [x] Handled pagination - [x] Implemented the code in async - [x] Support Multi account ## Screenshots NB: Warning log in the screenshot below is just for demonstration purposes. <img width="1380" alt="image" src="https://github.com/user-attachments/assets/16c636ef-e4b1-4912-84f5-24e3035e0fbc"> ## API Documentation Provide links to the API documentation used for this integration.
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[tool.poetry] | ||
name = "aws" | ||
version = "0.2.48" | ||
version = "0.2.49" | ||
description = "This integration will map all your resources in all the available accounts to your Port entities" | ||
authors = ["Shalev Avhar <[email protected]>", "Erik Zaadi <[email protected]>"] | ||
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