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I am experimenting your FastDDS, Fast-DDS-monitor and FastDDS statistics backend library products.
It seems there could be a bug in the statistics backend.
I have 29 Fast DDS applications publishing and subscribing from 10 topics. These apps run on 10 Docker containers. These containers share same isolated Docker network.
I started with implementing a FastDDS monitoring tool for these apps which is linked with FastDDS statistics backend library. First, I tried to measure “Publication Throughput”.
The problem is that the statistics backend library could report that metric for at most ten data writers. If we have had more writers, that metric was reported as “NaN” for additional data writers (by the statistics backend library).
I observed that problem when I used Fast-DDS-monitor tool also.
The version of the FastDDS statistics backend is 2.0.0.
The version of the Fast-DDS-monitor is 3.1.0.
Hi eProsima team,
I am experimenting your FastDDS, Fast-DDS-monitor and FastDDS statistics backend library products.
It seems there could be a bug in the statistics backend.
I have 29 Fast DDS applications publishing and subscribing from 10 topics. These apps run on 10 Docker containers. These containers share same isolated Docker network.
I started with implementing a FastDDS monitoring tool for these apps which is linked with FastDDS statistics backend library. First, I tried to measure “Publication Throughput”.
The problem is that the statistics backend library could report that metric for at most ten data writers. If we have had more writers, that metric was reported as “NaN” for additional data writers (by the statistics backend library).
I observed that problem when I used Fast-DDS-monitor tool also.
The version of the FastDDS statistics backend is 2.0.0.
The version of the Fast-DDS-monitor is 3.1.0.
I researched the page https://fast-dds.docs.eprosima.com/en/latest/fastdds/statistics/dds_layer/troubleshooting.html for trouble-shooting.
Still, that guide was not worked for me.
Do you have any suggestions for the case? Thank you in advance.
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