In this section

Create metric types

The endpoint to assign agent policy for resources.

Get metric (time series) on resources

Gets the details of metric behavior at a certain time period. There are three common examples that show how to get metric data based on a specific time series.

  1. Time series type (RealTime):
  1. Time series type (CHANGE_DETECTION):
  1. Time series type (FORECAST):

Data resolution

OpsRamp retains the raw metrics data for the most recent seven. Metric roll-ups are computed every half-hour, hourly, and daily. Calculations performed include average, minimum, maximum, and latest. Based on the selected time range, data is dynamically served in raw and rolled-up formats.

Time RangeResolutionTime Series Sections
Up to 24 hoursRawdata (RAW)
Greater than 24 hours to 3 days30-minute rollupdata (AVG), minVals (MIN), maxVals(MAX) and lastVals(LATEST / LAST)
Greater than 3 days to 30 days1-hour rollupdata (AVG), minVals (MIN), maxVals(MAX) and lastVals(LATEST / LAST)
Greater than 30 days1-day rollupdata (AVG), minVals (MIN), maxVals(MAX) and lastVals(LATEST / LAST)
Using “data=raw” query paramRaw (up to 7 days)data (RAW)

Sample responses

To get metric behavior at multiple time series patterns: example-multiple-time-series

To get metric behavior at current time stamp in real time: example-current-real-time

To get significant changes on a metric (using CHANGE_DETECTION): example-change-detection

To forecast values of a metric (using FORECAST): example-forecast

Roll-ups enables the viewing of metric behavior in wider time spans.

When OpsRamp receives data points for a given time series, this data is accumulated for specific periods of time. This data is stored in four roll-ups for each interval: average, minimum, maximum, and latest.

To get metric data for a roll-up time series: example-roll-up

Manage metric type

Updates and gets metric type details.

Manage resource metrics

Updates and gets resource metrics.