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Merge pull request #4458 from bibryam/v1.14 

Reworded concurrency control doc
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Hannah Hunter 2024-12-05 11:41:28 -05:00 committed by GitHub
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daprdocs/content/en/operations/configuration/control-concurrency.md
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@ -8,14 +8,14 @@ description: "Learn how to control how many requests and events can invoke your
Typically, in distributed computing, you may only want to allow for a given number of requests to execute concurrently. Using Dapr's `app-max-concurrency`, you can control how many requests and events can invoke your application simultaneously.
Default `app-max-concurreny` is set to `-1`, meaning no concurrency.
Default `app-max-concurreny` is set to `-1`, meaning no concurrency limit is enforced.
## Different approaches
While this guide focuses on `app-max-concurrency`, you can also limit request rate per second using the **`middleware.http.ratelimit`** middleware. However, it's important to understand the difference between the two approaches:
- `middleware.http.ratelimit`: Time bound and limits the number of requests per second
- `app-max-concurrency`: Specifies the number of concurrent requests (and events) at any point of time.
- `app-max-concurrency`: Specifies the max number of concurrent requests (and events) at any point of time.
See [Rate limit middleware]({{< ref middleware-rate-limit.md >}}) for more information about that approach.
@ -46,7 +46,7 @@ To set concurrency limits with the Dapr CLI for running on your local dev machin
dapr run --app-max-concurrency 1 --app-port 5000 python ./app.py
```
The above example effectively turns your app into a single concurrent service.
The above example effectively turns your app into a sequential processing service.
{{% /codetab %}}