Re: Spotting performance regressions


Guillaume Berche
 

Hi Michal,

I understand the routing team is working on automated performance tests
that aims at detecting performance regressions on the gorouter. We have not
yet set up execution of those at Orange yet. More in the pointers below.
The routing team was considering to open sourcing the routing ci repo, I'm
not sure of the current status now.

https://github.com/cloudfoundry-incubator/routing-perf-release
https://cf-routing.ci.cf-app.com/pipelines/routing/jobs/run-cf-load-test
https://cloudfoundry.slack.com/archives/routing/p1455232667000627
https://www.pivotaltracker.com/n/projects/1358110 with search:
label:"gorouter performance" includedone:true includes current perf
regression and effort for automated perf testing and determining max
request rate and concurrent requests

Hope this helps,

Guillaume.



Guillaume.

On Mon, Apr 4, 2016 at 4:08 PM, Michal Tekel <
michal.tekel(a)digital.cabinet-office.gov.uk> wrote:

Hi,

I wanted to check if you know about a good way to spot performance
regressions on CF and if anyone is doing it (at least partially) already.
We are mainly interested in discovering user-facing degradation. That is,
app operations (deploy, scale, delete, manage routes) and routing layer
operations (latency per request, total throughput, SSL termination
capacity) - esp. in connection with (heavier) routing services usage.

We did a brief investigation about the best way to automate this kind of
regression testing, but didn't find any complete solution. We had a look at
[CF PATs](1) tool and made a [container](2) it can be run from. But that
only gives us metrics on app operations and no way of spotting regressions
or automating the tests.

We were wondering if perhaps someone already does any kind of performance
measurements as a part of their CF build/deploy pipelines/process and what
their experience with tracking the results is...

[1] https://github.com/cloudfoundry-incubator/pat
[2] https://hub.docker.com/r/keymon/governmentpaas-cf-pats/

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