Hi Alex,
monitoring of streams is in our roadmap - we have all the building blocks
prepared and know we can do way better monitoring than any rx-like
technology,
sadly the feature of monitoring itself is not out yet - please bear with us
while we work on it through 2017.

If you're interested in early beta let me know - [email protected]

-- 
Konrad `ktoso` Malawski
Akka <http://akka.io> @ Lightbend <http://lightbend.com>

On 9 December 2016 at 08:55:28, Alex Cozzi ([email protected]) wrote:

I have a processing graph that reads from a Kafka queue (using
reactive-kafka), do some processing and then write the results into another
Kafka queue. I am trying to maximize the number of messages per seconds
that flow though the graph and to that end would be very useful to know
which one of the stages is the one that is limiting thoughtput.

Currently I am doing this by trial-and-error, for example I replace a stage
in the graph with Sink.ignore and measure thoughtput, so for example I
established that the source tops out at 50K msg/sec, when I add
deserialization I slow-down to 25K msg/sec, and with processing and writing
out to Kafka I get down to 12K msg/sec.
 but I was wondering whether there is a better way to detect dynamically
which stage is applying backpressure.

Thanks!

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