https://medium.com/@KonopkaKodes/an-introduction-to-asynchronous-programming-in-python-6809a4385f69
There are a few ways to do that, either using third-party modules or driving architectures based on those needs like queuing systems with celery and rabbit :).
Regards.
El mar., 26 may. 2020 a las 14:33, navinipe (<navinipe@gmail.com>) escribió:
Hello,--I'm a freelancer just getting introduced to web app programming, and will soon need to create web apps for clients who want a database of info for many of their customers and clients who want an e-commerce website.I know of Python's GIL, and I assume Django creators would've obviously designed processes to avoid GIL-related issues. This answer speaks a bit about how multiple web requests are handled, and I've come to understand that I have to use external libraries which would use WSGI to perform load balancing. So I'm assuming the load balancer would run multiple instances of my webapp in separate processes to serve client requests, and I'd only have to worry about avoiding race conditions and mutual exclusion issues.I also searched for benchmarks, and found some Locust tests which seem like Django could handle around 500 requests per second without much sweat. The reason I need to know this, is because I need to know what the threshold is (for number of simultaneous user connections), before I consider installing something as complex as Kubernetes. How many requests can be handled by an ordinary load balancer before resorting to Kubernetes?I know I'm speaking from inexperience, but these are what anyone would like to know before starting off with building a web-app, and hope the answers that follow this question would be useful for novices.
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