Hi Everyone, I am running 3 different deployment with 3 different queues. if there any constraints when all 3 queue were at peak load. we are experiencing a issue where process in "q1" in getting slower when "q2" and "q3" is running. How can i optimize this. All three queues has concurrency 10

what is

a issue where process in "q1"

?

There is 1 task which is we are sending file using the Dicom node ( in genral POST request ) and this sending file takes around 1:30 min Whereas, when the q2 and q3 is ideal then the sending time reduce to like 30seconds

I extensively use queues and have not faced such issue. Are you using Cloud or Oss?

We are using cloud AWS

I mean the prefect server 😄

Senf hosted

I dont think your flow code has any interactions with the queue status. Id try the following: 1. Check over all mem usage on the machine [where server(s) and / or workers / agents are running] 2. Check the health of database 3. Run worker connected to q1 on a seperate machine and see if the issue persist

I am using aws ec2 with auto scaling, do you think memory will be a issue ?

Depends on how the scalig has been configured i guess, I dont use aws 😄

Both, the prefect task completion time and manually too (for manual i have use python “time” module

Thats indeed weird. I would assume there is no relation between your request code and the queue status. I guess its time for some prefect dev to weigh on it

Yeah, hopefully 🤞