66 lines
2.7 KiB
Markdown
66 lines
2.7 KiB
Markdown
---
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layout: default
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title: Application analytics
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nav_order: 80
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---
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# Application analytics
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You can use application analytics to create custom observability applications to view the availability status of your systems, where you can combine log events with trace and metric data into a single view of overall system health. This lets you quickly pivot between logs, traces, and metrics to dig into the source of any issues.
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## Get started with application analytics
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To get started, choose **Observability** in OpenSearch Dashboards, and then choose **Application analytics**.
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### Create an application
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1. Choose **Create application**.
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2. Enter a name for your application and optionally add a description.
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3. Do at least one of the following:
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- Use [PPL]({{site.url}}{{site.baseurl}}/observability-plugin/ppl/index) to specify the base query.
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You can't change the base query after the application is created.
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{: .note }
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- Select services & entities from the dropdown or the service map.
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- Select trace groups from the dropdown or the table.
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4\. Choose **Create**.
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### Create a visualization
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1. Choose the **Log Events** tab.
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1. Use [PPL]({{site.url}}{{site.baseurl}}/observability-plugin/ppl/index) to build upon your base query.
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1. Choose the **Visualizations** tab to see your visualizations.
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1. Expand the **Save** dropdown menu, enter a name for your visualization, then choose **Save**.
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To see your visualizations, choose the **Panel** tab.
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### Configure availability
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Availability is the status of your application determined by availability levels set on a [time series metric]({{site.url}}{{site.baseurl}}/observability-plugin/app-analytics/#time-series-metric).
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To create an availability level, you must configure the following:
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- color: The color of the availability badge on the home page.
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- name: The text in the availability badge on the home page.
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- expression: Comparison operator to determine the availability.
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- value: Value to use when calculating availability.
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By default, application analytics shows results from the last 24 hours of your data. To see data from a different timeframe, use the date and time selector.
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#### Time series metric
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A time series metric is any visualization that has a query that spans over a timestamp and is a line chart. You can then use PPL to define arbitrary conditions on their logs to create a visualization over time.
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##### Example
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```
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source = <index_name> | ... | ... | stats ... by span(<timestamp_field>, 1h)
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```
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Choose **Line** in visualization configurations to create a time series metric.
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