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At Klaviyo, billions of HTTP requests per day are made, creating potential bottlenecks in applications due to I/O bound operations. Python's concurrency models have been utilized at Klaviyo to enhance performance and speed of I/O bound code, which is vital for efficient HTTP request handling. Different concurrency techniques like threading, multiprocessing, and asyncio are explored in this post to optimize network requests in Python applications, improving response time by enabling concurrent execution of requests.
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