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A signal is the :term:`metric` or :ref:`histogram metric <histograms>` you want to plot on the chart, to which you might add filters and apply analytics. Plot lines, or plots, are the building blocks of charts. A chart has one or more plots, and each plot is composed of the :term:`metric time series<Metric time series>` or histogram metric represented by the signal and its properties and dimensions, any filters, and any analytics applied.
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A signal is the :term:`metric` or :ref:`histogram metric <histograms>` you want to plot on the chart, to which you might add filters and apply analytics. Plot lines, or plots, are the building blocks of charts. A chart has one or more plots, and each plot is composed of the :term:`metric time series<metric time series>` or histogram metric represented by the signal and its properties and dimensions, any filters, and any analytics applied.
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.. note:: Instead of a metric, you can also enter a :ref:`time series expression<expression>` to create a composite or derived metric, specify an :ref:`event<chart-events>` to be displayed on the chart, or :ref:`link a detector to a chart<link-detector-to-chart>` to display its alert status on the chart.
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@@ -114,6 +114,17 @@ In this case, if you want to plot a metric as histogram, do the following steps
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For more information on histogram function and supported methods, see :new-page:`histogram() <https://dev.splunk.com/observability/docs/signalflow/functions/histogram_function>` in the SignalFlow reference documentation.
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.. _archived-metrics-charts:
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Use archived metrics in charts
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When you select an archived metric as a signal in your chart, the archived metric can't be plotted.
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To include an archived metric in a chart, route the archived metric to real-time or create exception rules to make it available. For more information, see the :ref:`mpm-rule-routing-exception` section.
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To learn more about MPM, see :ref:`metrics-pipeline-intro`.
Copy file name to clipboardExpand all lines: infrastructure/metrics-pipeline/metrics-pipeline-intro.rst
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@@ -46,7 +46,7 @@ Use metric pipeline management to control your data volume
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For each metric you send to Splunk Observability Cloud, MPM can help you configure how to ingest, keep, and manage the metric's data volume and cardinality.
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For example, you can decide to route your low-value metrics to archived metrics, a low-cost data tier, or even entirely drop them. Meanwhile, your high-value metrics continue to be routed to the real-time tier for alerting and monitoring. To learn more, see :ref:`mpm-rule-routing`.
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For example, you can decide to route your low-value metrics to archived metrics, a low-cost data tier, or even entirely drop them. Meanwhile, your high-value metrics continue to be routed to the real-time tier for alerting and monitoring. To learn more, see :ref:`mpm-rule-routing`.
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You can also convert a high-cardinality metric into a low-cardinality metric by aggregating away the dimensions that are not needed. To learn more, see :ref:`mpm-rule-routing-exception`.
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