How can the developer resolve this issue?
Increase the SQS event source’s batch size setting.
Configure provisioned concurrency for the Lambda function based on the third-party API’s documented rate limits.
Increase the retry attempts and maximum event age in the Lambda function’s asynchronous configuration.
Configure maximum concurrency on the SQS event source based on the third-party service’s documented rate limits.
Explanations:
Increasing the batch size would increase the number of messages Lambda processes at once, which could exacerbate the issue if the third-party API is already overwhelmed by requests.
Provisioned concurrency ensures Lambda has a fixed number of instances available, but it does not control the rate of API calls. This does not directly address the rate limit issue from the third-party API.
Increasing retry attempts and maximum event age could lead to more retries and delays, but it doesn’t solve the rate limiting issue at the third-party API, and it could worsen the load.
Configuring maximum concurrency on the SQS event source allows the developer to limit the number of Lambda invocations concurrently, effectively throttling the rate of requests sent to the third-party API, which helps avoid HTTP 429 errors.
I believe the answer is:
Configure maximum concurrency on the SQS event source based on the third-party service’s documented rate limits.
It seems to me that the answer is:
Configure maximum concurrency on the SQS event source based on the third-party service’s documented rate limits.