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[APM] docs: Correlations #94620
[APM] docs: Correlations #94620
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[role="xpack"] | ||
[[correlations]] | ||
=== Find latency and error correlations | ||
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**Correlations** surface attributes of your data that are potentially correlated with high-latency or erroneous transactions. | ||
Surfaced attributes are user-defined, meaning that they are completely customizable to your APM data. | ||
Find something interesting? A quick click of a button will auto-query your data as you work to resolve the underlying issue. | ||
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For example, a site reliability engineer, who is responsible for keeping production systems up and running, | ||
notices an increase in latency in certain transactions. | ||
Analyzing metadata or tags that exist in high-latency transactions but not in lower-latency transactions | ||
can potentially point towards the root cause. | ||
They may find that a particular piece of hardware, like a host or pod, has failed, increasing latency. | ||
Or, perhaps a set of users, based on IP address or region, is physically too far away from the nearest | ||
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data center, increasing latency. | ||
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[discrete] | ||
[[view-correlations]] | ||
=== View correlations | ||
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With a service selected, click **View correlations**: | ||
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[role="screenshot"] | ||
image::apm/images/correlations.png[Correlations] | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. @bmorelli25 I noticed for all the screenshots that we're using the v8 theme - was this decided within the docs team that any new screenshots would use the "not yet" released theme? Just wondering since I don't think we're shipping the theme publically until a few minors. There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. 🤦 This is an oversight on my part |
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Queries within the APM app apply to the correlations shown in the correlations fly-out. | ||
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If a correlated field seems noteworthy, use the **Filter** quick links: | ||
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* `+` creates a new query in the APM app for transactions containing the selected value. | ||
* `-` creates a new query in the APM app for transactions without the selected value. | ||
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[discrete] | ||
[[correlations-latency]] | ||
==== Find high-latency correlations | ||
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Correlations help you discover which fields are contributing to increased service latency. | ||
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A latency distribution chart visualizes the overall latency of the selected service's transactions. | ||
Correlated attributes are sorted by _Impact_–a visual representation of the score for the underlying | ||
aggregation that powers correlations. | ||
Attributes with a high impact, or attributes present in a large percentage of slow transactions, | ||
may contribute to increased latency. | ||
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To find high-latency correlations, hover over each potentially correlated attribute to | ||
compare the latency distribution of transactions with and without the selected attribute. | ||
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For example, in the screenshot below, the field `user_agent.name` and value `HeadlessChrome` | ||
exists primarily in higher-latency transactions between 3.7 and 8.7 seconds. | ||
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[role="screenshot"] | ||
image::apm/images/correlations-hover.png[Correlations hover effect] | ||
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Selecting the `+` filter creates a new query in the APM app for transactions with | ||
`user_agent.name: HeadlessChrome`. With the "noise" now filtered out, | ||
you can begin viewing sample traces to continue your investigation. | ||
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[discrete] | ||
[[correlations-error-rate]] | ||
==== Find error rate correlations | ||
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Correlations help you discover which fields are contributing to failed transactions. | ||
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The Error rate over time chart visualizes the change in error rate over the selected time frame. | ||
Correlated attributes are sorted by _Impact_–a visual representation of the score for the underlying | ||
aggregation that powers correlations. | ||
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Attributes with a high impact, or attributes present in a large percentage of failed transactions, | ||
may contribute to increased error rates. | ||
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To find error rate correlations, hover over each potentially correlated attribute to | ||
compare the error rate distribution of transactions with and without the selected attribute. | ||
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For example, in the screenshot below, the field `url.original` and value `http://localhost:3100...` | ||
existed in 100% of failed transactions between 6:00 and 10:30. | ||
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[role="screenshot"] | ||
image::apm/images/error-rate-hover.png[Correlations errors hover effect] | ||
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Selecting the `+` filter creates a new query in the APM app for transactions with | ||
`url.original: http://localhost:3100...`. With the "noise" now filtered out, | ||
you can begin viewing sample traces to continue your investigation. | ||
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[discrete] | ||
[[correlations-custom-fields]] | ||
==== Customize fields | ||
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Correlations are only as good as the data they're searching for. | ||
By default, a handful of potentially useful fields are selected, like `lables`, `service.version`, and `host.ip`. | ||
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You can remove and add fields to this list under the **Customize fields** dropdown. | ||
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TIP: Want to start over? Select **reset** to clear your customizations. |
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What does user-defined mean here? My suggestion is to frame this as the surfaced attributes are some of the default attributes that are commonly known to cause performance issues like version/infrastructure and can be modified to include any attributes for custom analysis.
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Good point. Fixed in #94750.