When Riemann used as system and/or application metrics collector, what are opensource tools can be used in order to implement anomaly detection monitoring?


1 Answer 1


I can think of 3 possibility (Not exactly Riemann metrics based, but around anomaly detection):

  1. Outdated but the most efficient in anomaly detectionI know: Shyline + Oculus from Etsy Both tools available from etsy's github as Skyline and oculus, check the network graph for more up to date forks. Best one I found is earthgecko/skyline with its doc
  2. Graphite and checking that the Standard deviation fits in the Holtz Winter's Confidence bands
  3. ELK stack in version 5 with timelion which, as above, allow to compute a standard deviation and alert if it goes out of confidence bands with the proper license.
  • thank you for insights, Skyline looks forgotten (Latest commit on Oct 14, 2015), IMO there's much more to be done in this area, was wondering where the community putting efforts related to this area, Holtz Winter and stddev are too simple for something advanced but useful, Timelion looks interesting.
    – rombob
    Commented Mar 27, 2017 at 14:51
  • @rombob yes, there was a presentation announcing Kale V2, but it didn't see the light 'publicly' as far as I know. That's why I talked about skyline network graph on github, there's some forks with better love but nothing really "sure" as far as I know
    – Tensibai
    Commented Mar 27, 2017 at 15:04
  • @rombo updated for a skyline fork, I've been pretty happy with skyline, I don't know if eatrhgecko included the 'season' variation model (weekly/monthly patterns)
    – Tensibai
    Commented Mar 27, 2017 at 15:16
  • tnx, fork looks better, checkin
    – rombob
    Commented Mar 27, 2017 at 15:19

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy.

Not the answer you're looking for? Browse other questions tagged or ask your own question.