Minor spelling error

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Vishesh Agarwal 2021-09-13 17:24:02 -07:00 committed by GitHub
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@ -9,7 +9,7 @@ description: "Control how many requests and events will invoke your application
A common scenario in distributed computing is to only allow for a given number of requests to execute concurrently.
Using Dapr, you can control how many requests and events will invoke your application simultaneously.
*Note that this rate limiing is guaranteed for every event that's coming from Dapr, meaning Pub/Sub events, direct invocation from other services, bindings events etc. Dapr can't enforce the concurrency policy on requests that are coming to your app externally.*
*Note that this rate limiting is guaranteed for every event that's coming from Dapr, meaning Pub/Sub events, direct invocation from other services, bindings events etc. Dapr can't enforce the concurrency policy on requests that are coming to your app externally.*
*Note that rate limiting per second can be achieved by using the **middleware.http.ratelimit** middleware. However, there is an imporant difference between the two approaches. The rate limit middlware is time bound and limits the number of requests per second, while the `app-max-concurrency` flag specifies the number of concurrent requests (and events) at any point of time. See [Rate limit middleware]({{< ref middleware-rate-limit.md >}}). *
@ -61,4 +61,4 @@ To set app-max-concurrency with the Dapr CLI for running on your local dev machi
dapr run --app-max-concurrency 1 --app-port 5000 python ./app.py
```
The above examples will effectively turn your app into a single concurrent service.
The above examples will effectively turn your app into a single concurrent service.