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Signed-off-by: keithhc2 <keithhc2@users.noreply.github.com>
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keithhc2 2022-03-21 14:37:41 -07:00
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4
_observability-plugin/app-analytics.md
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@ -49,11 +49,11 @@ To create an availability level, you must configure the following:
![Configuring availability]({{site.url}}{{site.baseurl}}/images/app_availability_level.gif)
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.
By default, application analytics shows results from the last 24 hours of your data. To see data from a different time frame, use the date and time selector.
#### Time series metric
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.
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 your logs to create a visualization over time.
##### Example
```

4
_observability-plugin/event-analytics.md
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@ -38,7 +38,7 @@ The following are methods you can use to view logs.
### Trace log correlation
If you regularly track events across applications, you can correlate logs and traces. To view the correlation, you have to index the traces according to Open Telemetry standards (similar to trace analytics). Once you add a `TraceId` field to your logs, your can view the correlated trace information in the event explorer log details. This method lets you correlate logs and traces that correspond to the same execution context.
If you regularly track events across applications, you can correlate logs and traces. To view the correlation, you have to index the traces according to Open Telemetry standards (similar to trace analytics). Once you add a `TraceId` field to your logs, you can view the correlated trace information in the event explorer log details. This method lets you correlate logs and traces that correspond to the same execution context.
![Trace Log Correlation]({{site.url}}{{site.baseurl}}/images/trace_log_correlation.gif)
@ -50,6 +50,6 @@ If you want to know more about a log event you're looking at, you can select **V
### Live tail
If you prefer watching events happen live, you can configure an interval so event analytics automatically refreshes the content. Live tail lets you stream logs live to OpenSearch observability event analytics based on the provided PPL query, as well as provide rich functionality such as filters. Doing so improves your debugging experience and lets you monitor your logs in real-time without having to manually refresh. You can also choose intervals and switch between them to dictate how often live tail should stream live logs. This feature is similar to the CLI's `tail -f` command in that it only retrieves the most recent live logs by possibly eliminating a large portion of live logs. Live tail also provides you with the total count of count of live logs received by OpenSearch during the live stream, which you can use to better understand the incoming traffic.
If you prefer watching events happen live, you can configure an interval so event analytics automatically refreshes the content. Live tail lets you stream logs live to OpenSearch observability event analytics based on the provided PPL query, as well as provide rich functionality such as filters. Doing so improves your debugging experience and lets you monitor your logs in real-time without having to manually refresh. You can also choose intervals and switch between them to dictate how often live tail should stream live logs. This feature is similar to the CLI's `tail -f` command in that it only retrieves the most recent live logs by possibly eliminating a large portion of live logs. Live tail also provides you with the total count of live logs received by OpenSearch during the live stream, which you can use to better understand the incoming traffic.
![Live Tail]({{site.url}}{{site.baseurl}}/images/live_tail.gif)