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Radoslav Gatev 2021-01-17 22:29:56 +02:00
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daprdocs/content/en/operations/configuration/control-concurrency.md
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@ -9,9 +9,9 @@ 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. 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. Using Dapr, you can control how many requests and events will invoke your application simultaneously.
*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 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 rate limitting can be achieved by using the **middleware.http.ratelimit**. However, there is an imporant difference between the two approaches. The ratelimit middlware is time bound and limits the number of requests per second, while the app-max-concurrency specifies the number of concurrent requests (and events) at any point of time.* *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 >}}). *
## Setting app-max-concurrency ## Setting app-max-concurrency