How do WSGI, ASGI, and sync or async views affect a Django application?

Connects Django deployment interfaces with the real sync and async call chain.

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WSGI is the traditional synchronous Python web interface, while ASGI supports asynchronous request handling and long-lived connections. Django can run sync or async views, but an async view only helps when the work it calls is also safely awaitable. Under ASGI, synchronous middleware or database operations may require adaptation; under WSGI, an async view does not provide the same end-to-end concurrency benefit.

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Understanding of async benefits, adaptation costs, ORM limits, and deployment capacity.

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The protocol and view syntax matter only together with the libraries and middleware that perform the work.
WSGI is the traditional synchronous Python web interface, while ASGI supports asynchronous request handling and long-lived connections. Django can run sync or async views, but an async view only helps when the work it calls is also safely awaitable. Under ASGI, synchronous middleware or database operations may require adaptation; under WSGI, an async view does not provide the same end-to-end concurrency benefit.
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I choose the model from the actual workload. Async is useful for concurrent network waits, streaming, or long-lived connections when the client libraries support cancellation and timeouts. A blocking library called directly from async code can stall the event loop, while repeated sync-to-async transitions add overhead and complicate context. CPU-heavy work still needs bounded worker or process capacity rather than more syntax.

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Assuming an async view makes its synchronous calls asynchronous.
Claiming ASGI is automatically faster for every endpoint.
Using async to solve CPU-bound work.

How do WSGI, ASGI, and sync or async views affect a Django application?

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