this post was submitted on 08 Jul 2023
16 points (100.0% liked)

Programming

17488 readers
106 users here now

Welcome to the main community in programming.dev! Feel free to post anything relating to programming here!

Cross posting is strongly encouraged in the instance. If you feel your post or another person's post makes sense in another community cross post into it.

Hope you enjoy the instance!

Rules

Rules

  • Follow the programming.dev instance rules
  • Keep content related to programming in some way
  • If you're posting long videos try to add in some form of tldr for those who don't want to watch videos

Wormhole

Follow the wormhole through a path of communities [email protected]

founded 1 year ago
MODERATORS
snowe
Ategon
[email protected]
16
How to track automated "performance"-type tests over time? (lemmy.world)
submitted 1 year ago by [email protected] to c/programming
7 comments fedilink hide all child comments
 

I'm pretty familiar with automated tests where you're comparing a received value to an expected value (e.g. basically all unit/integration tests)

in a CI/CD workflow, you handle test failures by failing the whole pipeline, and then that commit/PR/etc has a pipeline that failed next to it.

However, what if I have some kind of "performance" measure I want to track, instead? Something that isn't pass/fail, but rather a set of experimental results over time? (e.g. speed of responses from an API, wins/draw/loss rates on chess bot, confusion matrix scores for a classifier, etc.) Is there a tool that can show that kind of "automated experiment" results in order by git commit, pull request, etc?

I thought about sending the data to some kind of data store with a Grafana front-end, but I was hoping there might be some less "diy" method for creating such a display.

top 7 comments
sorted by: hot top controversial new old
[–] truami 5 points 1 year ago

I use datadog for this specific use case. You can log your own metrics through their API, then set up dashboards and alerting based off specific parameters and thresholds. I mainly use it to track web vitals over time to pinpoint problematic releases or assets, but it can be used for any numeric values you wish to track.

[–] [email protected] 4 points 1 year ago

Feels like you could maybe (ab)use an ML experiment tracking tool for this, something like MLFlow. Except instead of training an ML model you just trigger your tests and report the statistics from those back to the tracking tool.

[–] [email protected] 4 points 1 year ago

I'm pretty interested in this too. I've thought about it in the past, and I think get stuck where you're asking (the post processing and visualizing bit).

I'd thought of having GitHub actions for the measurement, stashing the results as artifacts, then having another workflow that processes the results. Obviously pretty DIY so I'm curious if others have solutions.

[–] [email protected] 2 points 1 year ago

This is on my list to do - if you find a good solution do let us know!

I was thinking of just doing the quick-and-dirty approach of appending the data to a file in the repo and auto-committing it. Just have some previous commit information, test name, and results appended every time. That way the head always has the full history of data in order so you can just push/pull that into anything and analyse/graph it without messing about.

I'd probably only do it on push/PR merge so in the grand scheme of things would never really become a lot of data, but you could truncate it as you go easy enough.

[–] [email protected] 2 points 1 year ago (1 children)

Hard to recommend anything without some hint of your build systems. Java via Jenkins? Node via Bitbucket Pipelines? C# via Azure Devops?

[–] [email protected] 1 points 1 year ago

My particular use case is actually for a hobby/fun project

developing a bot in Rust to play a game (particularly, Screeps), and I want to track how fast it hits certain game thresholds with each newly developed feature. Gitea Actions for CI/CD, but it's all running on my local network/home lab so I'm happy to shift as needed.

[–] truami 1 points 1 year ago

I use datadog for this specific use case. You can log your own metrics through their API, then set up dashboards and alerting based off specific parameters and thresholds. I mainly use it to track web vitals over time to pinpoint problematic releases or assets, but it can be used for any numeric values you wish to track.