Git Product home page Git Product logo

Comments (6)

dmagliola avatar dmagliola commented on August 15, 2024 1

Ah, right, excellent.
I'll do a quick proof of concept in the next couple of weeks, and get your feedback.

Thank you!

from client_ruby.

grobie avatar grobie commented on August 15, 2024

Once this has been done, more performance optimizations are possible, like incrementing all affected histogram buckets during a scrape instead of during each observe. See https://github.com/prometheus/client_golang/blob/a5060f1eaab721946b185b2de468ff83ea5b89cb/prometheus/histogram.go#L240-L282

from client_ruby.

dmagliola avatar dmagliola commented on August 15, 2024

@grobie Reading that doc, I'm not sure I understand what this would be.
How is this different from the Registry the client already supports?

As for the performance improvement mentioned, we're doing that already:
https://github.com/prometheus/client_ruby/blob/master/lib/prometheus/client/histogram.rb#L77
https://github.com/prometheus/client_ruby/blob/master/lib/prometheus/client/histogram.rb#L93

:)

from client_ruby.

nieltg avatar nieltg commented on August 15, 2024

@dmagliola,
I think I can answer from the Go language client library perspective.

Registry is able to register collectors. Collector itself has two methods: Describe and Collect. While the scrapping process is running, the HTTP server which serves /metrics endpoint will gather metrics from the registry and the registry will collect all of the registered metrics.

One use case which I encountered here is to create a custom collector that collects metrics when it's instructed. One example on Go language is in this LXD exporter which exports metrics as instructed. I think this isn't possible for current version of client_ruby.

from client_ruby.

dmagliola avatar dmagliola commented on August 15, 2024

Thank you for your explanation @nieltg !
I'd like to try to tackle this issue sooner than later, since it unblocks a bunch of other use cases, but i'd like to make sure I understand it fully before starting, to not end up with an inadequate solution.

My understanding so far is that the way the Ruby client works, the main difference between a "regular" Metric, and a "Custom Collector" is that the Custom Collector can actually define multiple metrics. This is what makes it non-trivial to implement.

And the other of course being that these metrics inside the Custom Collector get their value assigned at scrape time, rather than during normal app operation.

Is that correct?

If we had a solution where we have a CustomCollector class that implementors can inherit from, which includes a metrics method to return all its metrics, and a collect method that tells it to set their values... Would that basically solve the problem?
Or am I missing something?

from client_ruby.

brian-brazil avatar brian-brazil commented on August 15, 2024

Is that correct?

Yes.

metrics method to return all its metrics, and a collect method that tells it to set their values... Would that basically solve the problem?

No. collect should return all the metrics, as a collector doesn't always know which metrics it'll return in advance (plus that'd be racy).

from client_ruby.

Related Issues (20)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.