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fix(glossary): final changes
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homelessbirds committed May 12, 2022
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23 changes: 11 additions & 12 deletions src/content/docs/new-relic-solutions/get-started/glossary.mdx
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id="anomaly"
title="anomaly"
>
When we see a service or application behaving abnormally, we flag it as an anomaly. You can find anomalies in the activity feeds throughout New Relic. You can also create custom configurations to get notifications or track anomalies in other types of entities, like hosts and mobile apps.
When a service or application behaves abnormally, applied intelligence flags it as an anomaly. You can find anomalies in the activity feeds throughout New Relic. You can also create custom configurations to get notifications or track anomalies in other types of entities, like hosts and mobile apps.

For more information, see [proactive detection] (/docs/alerts-applied-intelligence/applied-intelligence/proactive-detection/proactive-detection-applied-intelligence/)
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id="event"
title="event"
>
In the software industry, events can be thought of as simply “things that occur in a system.” For example, a server setting being changed would be an event. Another example: a website user clicking a mouse.
In the software industry, events can be thought of as simply “things that occur in a system.” For example, a server setting being changed would be an event. Another example: a website user clicking a mouse.

Some events will generate a stored record, and that record is typically also called an event.

To learn how New Relic uses events, see [New Relic data types](/docs/data-apis/understand-data/new-relic-data-types/).
Some events will generate a stored record, and that record is typically also called an event.
To learn how New Relic uses events, see [New Relic data types](https://docs.newrelic.com/docs/data-apis/understand-data/new-relic-data-types/#event-data).
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id="facet"
title="facet"
>
A facet helps your team compare information that has many variables. Your team can query New Relic data in NRQL and use facets to segment the displayed data. For example if you want to know where your CPU data is being used, you could segment your CPU data by the hostname facet:
A facet helps your team compare information that has many variables. you can query New Relic data in NRQL and use facets to segment the displayed data. For example if you want to know where your CPU data is being used, you could segment your CPU data by the hostname facet:

```SELECT average(cpuPercent) FROM SystemSample FACET hostname```
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id="issue"
title="issue"
>
The problems in your system that need attention. An issue is made up of one or more [incidents](docs/new-relic-solutions/get-started/glossary/#alert-incident) and anomalies we've correlated through machine learning or other means. You can receive notifications when issues are created, acknowledged, or closed.
An issue is a problem in your system that needs attention. An issue is made up of one or more [incidents](docs/new-relic-solutions/get-started/glossary/#alert-incident) and anomalies we've correlated through machine learning or other means. You can receive notifications when issues are created, acknowledged, or closed.

For more information, see [Alerts concepts & workflow](/docs/alerts-applied-intelligence/new-relic-alerts/learn-alerts/alerts-concepts-workflow/).
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>
In the software monitoring industry, a metric means a numeric measurement of an application or system.

To learn how New Relic utilizes metrics, see [New Relic data types](/docs/data-apis/understand-data/new-relic-data-types/).
To learn how New Relic uses metrics, see [New Relic data types](/docs/data-apis/understand-data/new-relic-data-types/).
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id="navigator-new-relic-navigator"
title="navigator-new-relic-navigator"
>
New Relic Navigator makes it easy to explore large numbers of entities as it intuitively displays the entire estate of your system in a highly dense honeycomb view with traffic light colors based on alerts.
New Relic Navigator makes it easy to explore large numbers of entities as it displays the entire estate of your system in a highly dense honeycomb view with traffic light colors based on [alerts] (/docs/alerts-applied-intelligence/new-relic-alerts/learn-alerts/alerts-concepts-workflow/).

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id="policy"
title="policy"
>
A policy is a set of one or more alert conditions that determine when incidents occur.
A policy is bucket for similar conditions so that you can see them all in one place. So, if your team wants to examine all of the conditions for your Java application, you will need to create a policy to contain those conditions.

For more information, see [Alerts concepts and workflow](docs/alerts-applied-intelligence/new-relic-alerts/learn-alerts/alerts-concepts-workflow/).
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id="telemetry"
title="telemetry"
>
The process of automating an instrument to collect data about your systems. You use New Relic to monitor your systems and collect data in the form of metrics, events, logs, and traces. New Relic then stores that collected data in our servers, which you can access and analyze through your dashboards.
Basically, when you're using New Relic, you're gathering telemetry data. The process of automating an instrument to collect data about your systems. You use New Relic to monitor your systems and collect data in the form of metrics, events, logs, and traces. New Relic then stores that collected data in our servers, which you can access and analyze through your dashboards.

Basically, when you're using New Relic, you're gathering telemetry data.
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