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[role="xpack"] | ||
[[dependencies]] | ||
=== Dependencies | ||
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APM agents collect details about external calls made from instrumented services. | ||
Sometimes, these external calls resolve into a downstream service that's instrumented -- in these cases, | ||
you can utilize <<distributed-tracing,distributed tracing>> to drill down into problematic downstream services. | ||
Other times, though, it's not possible to instrument a downstream dependency -- | ||
like with a database or third-party service. | ||
**Dependencies** gives you a window into these uninstrumented, downstream dependencies. | ||
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[role="screenshot"] | ||
image::apm/images/dependencies.png[Dependencies view in the APM app in Kibana] | ||
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Many application issues are caused by slow or unresponsive downstream dependencies. | ||
And because a single, slow dependency can significantly impact the end-user experience, | ||
it's important to be able to quickly identify these problems and determine the root cause. | ||
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Select a dependency to see detailed latency, throughput, and failed transaction rate metrics. | ||
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[role="screenshot"] | ||
image::apm/images/dependencies-drilldown.png[Dependencies drilldown view in the APM app in Kibana] | ||
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When viewing a dependency, consider your pattern of usage with that dependency. | ||
If your usage pattern _hasn't_ increased or decreased, | ||
but the experience has been negatively effected -- either with an increase in latency or errors, | ||
there's likely a problem with the dependency that needs to be addressed. | ||
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If your usage pattern _has_ changed, the dependency view can quickly show you whether | ||
that pattern change exists in all upstream services, or just a subset of your services. | ||
You might then start digging into traces coming from | ||
impacted services to determine why that pattern change has occurred. |
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