Public | Automated Build

Last pushed: 4 months ago
Short Description
R statistical computing and graphic tool for monitoring metrics from data scientists
Full Description

Monitoring Analytics

Limited public demo instance:

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Yes, monitoring is not a rocket science usually. However your monitoring system keeps a lot of time series data. You can you use science / math / statistics and turn your data into knowledge, which can be used to improve your monitoring systems and settings.
Don't estimate any static thresholds for your metrics. Set them based on your real values. If you don't know, what is normal value, then try to detect anomalies in your series. Remember, your only limitation is your data science imagination:
histograms, linear/polynomial/... trends, prediction, anomaly detection, correlation, 3d visualization, heat map, ...

Overview of Monitoring Artist Dockerized monitoring ecosystem:

Please donate to author, so he can continue to publish other awesome projects
for free:

Dockerized Monitoring Analytics

docker run \
  -d \
  --name=shiny \
  -p 3838:3838 \


Deep monitoring knowledge and science skills are required, so only commercial support is available.

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Kibana, Prometheus, Sysdig, ...


Professional devops / monitoring / consulting services:

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