# Ganglia Plugin and Machine learning anomaly detection compatibility

**URL:** <https://discuss.elastic.co/t/ganglia-plugin-and-machine-learning-anomaly-detection-compatibility/109733>\
**Category:** Elasticsearch\
**Created:** [November 30, 2017, 10:37am UTC](https://discuss.elastic.co/t/ganglia-plugin-and-machine-learning-anomaly-detection-compatibility/109733 "2017-11-30T10:37:15Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![RostaTasha](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/rostatasha/32/24874_2.png) [@RostaTasha](https://discuss.elastic.co/u/RostaTasha)\
**Post date:** [November 30, 2017, 10:37am UTC](https://discuss.elastic.co/t/ganglia-plugin-and-machine-learning-anomaly-detection-compatibility/109733/1 "2017-11-30T10:37:15Z")

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Dear developers,  
I am new in Elastic stack. I have some monitoring metrics in ganglia and would like to automatically detect anomalies in them. The solution, which came to my mind is to use these two plugins together, i.e. output ganglia data to elastic search and them perform analysis with machine learning anomaly detection tool.  
Does anybody know if it is possible to use these two plugins together?  
[https://www.elastic.co/de/videos/automated-anomaly-detection-with-elasticsearch-using-machine-learning](https://www.elastic.co/de/videos/automated-anomaly-detection-with-elasticsearch-using-machine-learning)  
[https://www.elastic.co/guide/en/logstash/current/plugins-inputs-ganglia.html](https://www.elastic.co/guide/en/logstash/current/plugins-inputs-ganglia.html)

The problem which I see here is that ganglia averages historical data, which is most probably not intended to be inputed as input data for the second plugin.

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**Author:** ![dmitri](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/dmitri/32/17997_2.png) [@dmitri](https://discuss.elastic.co/u/dmitri)\
**Post date:** [November 30, 2017, 2:51pm UTC](https://discuss.elastic.co/t/ganglia-plugin-and-machine-learning-anomaly-detection-compatibility/109733/2 "2017-11-30T14:51:42Z")

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There should be no problem using ML on your ganglia data. ML is also using time bucketing, so the fact ganglia is pre-aggregating is not an issue.

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**Author:** ![system](https://us1.discourse-cdn.com/elastic/original/3X/1/a/1ac57faf039f6b580b3f104ef42a2a89e41014de.png) [@system](https://discuss.elastic.co/u/system)\
**Post date:** [December 28, 2017, 2:51pm UTC](https://discuss.elastic.co/t/ganglia-plugin-and-machine-learning-anomaly-detection-compatibility/109733/3 "2017-12-28T14:51:45Z")

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