Analyze service performance with Tag Spotlight 🔗
Use Tag Spotlight to analyze the performance of your services in Splunk Observability Cloud to discover trends that contribute to high latency or error rates with indexed span tags. You can break down every service by each indexed span tag to view its metrics. When you select span tag values or a time range, you can view relevant traces to learn more about outlying incidents.
For every service, Tag Spotlight provides request, error, and duration (RED) metrics time-series charts for every value of each indexed span tag within the specified time range in the APM navigation menu. Request and error charts display the total number of requests, errors, and root cause errors, and duration charts display p50, p90, and p99 latency. These values are based on Troubleshooting MetricSets (TMS), which Splunk APM generates for every indexed span tag.
The following image shows the requests and errors of an example
frontend service broken down by the values of indexed span tags. The graph is powered by Troubleshooting MetricSets.
To learn how to index span tags to generate Troubleshooting MetricSets, see Index span tags to generate Troubleshooting MetricSets. For a general overview of MetricSets in APM, see MetricSets.
For a use case example of troubleshooting using Tag Spotlight, see Find the root cause of an error using Tag Spotlight. For an interactive walkthrough of how to use Tag Spotlight, see APM Tag Spotlight Scenario.
Use case: Find the root cause of an incident with Tag Spotlight 🔗
To view a detailed use case example of using Tag Spotlight, see Find the root cause of an error using Tag Spotlight.