What are the limitations of using Django with Redis in an async environment?

What are the limitations of using Django with Redis in an async environment?

Using Django with Redis in an async environment can lead to several limitations, such as blocking calls, compatibility issues, and challenges with managing connections.

Can you explain what blocking calls are?

Blocking calls are operations that prevent other tasks from executing until the current operation completes, which can hinder performance in async applications.

How does this affect performance?

It can lead to increased latency and reduced throughput, as other async tasks have to wait for the blocking operation to finish.

Are there any workarounds for these limitations?

Yes, you can use libraries like asgiref to manage async tasks better or consider using Django Channels for handling WebSockets and async tasks.