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https://issues.apache.org/jira/browse/BEAM-7774?focusedWorklogId=437744&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-437744
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ASF GitHub Bot logged work on BEAM-7774:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 27/May/20 11:41
            Start Date: 27/May/20 11:41
    Worklog Time Spent: 10m 
      Work Description: kamilwu commented on a change in pull request #11661:
URL: https://github.com/apache/beam/pull/11661#discussion_r431052998



##########
File path: 
.test-infra/metrics/grafana/dashboards/perftests_metrics/Python_Performance_Tests.json
##########
@@ -0,0 +1,297 @@
+{

Review comment:
       @tvalentyn 
   
   > Is there a way to visualize the dashboard on an in-progress PR?
   
   Currently, the best way is to: pull branch, deploy metrics stack locally 
(`docker-compose build`; `docker-compose up`), open web browser and go to 
localhost:3000.
   
   > Is it possible to reduce duplication in the configs?
   
   There's a concept called [Scripted 
Dashboards](https://grafana.com/docs/grafana/latest/reference/scripting/), but 
we didn't implement it. So, if we want to create two dashboards next to each 
other, we have to provide two configs for them (even if they are very similar). 
   
   Apart from that, we can also consider another question: is having those 
.json files version-controlled profitable? Diffs are often very large, so the 
standard review process does not apply here.




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Issue Time Tracking
-------------------

    Worklog Id:     (was: 437744)
    Time Spent: 3h 10m  (was: 3h)

> Stop usign Perfkit Benchmarker tool in Python performance tests
> ---------------------------------------------------------------
>
>                 Key: BEAM-7774
>                 URL: https://issues.apache.org/jira/browse/BEAM-7774
>             Project: Beam
>          Issue Type: Sub-task
>          Components: testing
>            Reporter: Lukasz Gajowy
>            Assignee: Piotr Szuberski
>            Priority: P2
>          Time Spent: 3h 10m
>  Remaining Estimate: 0h
>




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