Learn about distributed task queues for making asynchronous API requests
What happens when a user sends a request, but processing that request takes longer than the HTTP request-response cycle? What if you’re accessing multiple databases or want to return a document too large to process within the time window? What if you want to access an API, but the number of requests is throttled to a maximum of n requests per t time window?
These are part of the questions that were raised during the data collection process for my master’s thesis. For my research, microposts from Twitter were scraped via the Twitter API. Two main issues arose that are resolved by distributed task queues:
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