Examples for troubleshooting errors and monitoring application performance using Splunk APM
Get started with Splunk APM examples.
Buttercup Games, a fictitious game company, recently refactored its e-commerce site to go cloud native. The site uses microservices for the application architecture and containers for the underlying infrastructure. The company uses Splunk APM for finding root causes of errors, monitoring system performance, and tracking business KPIs.
Troubleshooting examples
Site reliability engineers, service owners, engineering executives, and performance engineers at Buttercup Games use Splunk APM for the following troubleshooting examples:
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Scenario: Kai investigates the root cause of an error with the Splunk APM service map
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Scenario: Deepu finds the root cause of an error using Tag Spotlight
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Scenario: Alex monitors service performance using endpoint performance
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Scenario: Deepu accelerates troubleshooting using Business Workflows on Tag Spotlight
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Scenario: Kai troubleshoots an edge case by searching for a specific trace
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Scenario: Alex troubleshoots an issue to find the root cause using Trace Analyzer
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Scenario: Alex troubleshoots slow traces using Trace Analyzer
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Scenario: Sasha finds performance issues using AlwaysOn Profiling
Monitoring examples
Site reliability engineers, service owners, engineering executives, and performance engineers at Buttercup Games use Splunk APM for the following monitoring examples:
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Scenario: Deepu monitors service performance using a built-in dashboard
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Scenario: Wei configures Business Workflows to track business KPIs
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Scenario: Wei monitors Business Workflows to measure business KPIs
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Scenario: Kai monitors detector service latency for a group of customers
To learn the specific steps for setting up and using APM features, see Set up Splunk APM.