Spot instance - Analytics
Trends, forecasts and statistical measures for a Spot instance: CPU, RAM, storage, network and disk metrics.
Overview
This page provides advice and insights, pertaining to the Spot instances, to the user based on the monitoring of the Spot instances. Based on the insights, it also provides recommended actions that the user can take. The page also provides a detailed statistical analysis of the monitoring data points.
Analytics on the page
This page displays a lot of statistical information regarding Spot instance monitoring.
You can find charts displaying trends over time regarding past, current and forecasted metric values. The Spot instance monitoring metrics are as follows:
- CPU utilization
- RAM utilization
- Storage utilization
- Network “in” and “out” speeds in bps or Kbps
- Disk “read” and “write” speeds in bps or Kbps
In addition to the charts, you can find twelve different statistical measurements regarding the Spot instance metrics mentioned above. In other words, for each of the Spot instances metrics mentioned above emma provides twelve different statistical measurements mentioned below:
- Min - This denotes the Minimal value of the metric for the period. This section is further broken down into statistical measurements for the following time periods:
- last day. For example, a sample value can be 819.2 MB
- last week. For example, a sample value can be 819.2 MB
- last month. For example, a sample value can be 819.2 MB
- "all time". For example, a sample value can be 819.2 MB
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Max - This denotes the Maximal value of the metric for the period. This section is further broken down into statistical measurements for several time periods.
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Average - This denotes the Average value of the metric for the period. This section is further broken down into statistical measurements for several time periods.
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Median - This denotes the Median value (50% quantile) of the metric for the period. This section is further broken down into statistical measurements for several time periods.
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Std - This denotes the Standard deviation of the metric for the period. This section is further broken down into statistical measurements for several time periods.
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Q25 - This denotes the 25% quantile of the metric for the period. This section is further broken down into statistical measurements for several time periods.
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Q75 - This denotes the 75% quantile of the metric for the period. This section is further broken down into statistical measurements for several time periods.
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Trend type - This denotes the type of trend (up / down / no trend) for the metric for the period. This section is further broken down into statistical measurements for several time periods.
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Growth rate - This denotes the Growth rate of the metric for the period. This section is further broken down into statistical measurements for for several time periods.
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Low utilization - This denotes the amount of time the metric value was extremely low for the period. This section is further broken down into statistical measurements for several time periods.
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High utilization - This denotes the amount of time the metric value was extremely high. This section is further broken down into statistical measurements for several time periods.
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Outliers - This denotes the number of outliers for the period. This section is further broken down into statistical measurementsfor several time periods.
- You can hover over the trend line to see the actual value as well as the value that was predicted by emma’s predictive machine learning models. The section of the graph which is in the future and a value is predicted, you will notice that there is no actual value as of now. You an only see the modelled/predicted value.
- Each of the charts show the maximum possible capacity levels as well along with the actual and predicted values.
- You can select the metric and also select to look at the graph for a shorter time period. You just need to activate the “Short period” slider
Last updated on 1 Aug 2026