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:

Investigate the root cause of an error with the Splunk APM service map
Monitor service performance using endpoint performance
Track how services impact business transactions
Find the root cause of an error using Tag Spotlight
Accelerate troubleshooting using business transactions on Tag Spotlight
Troubleshoot an edge case by searching for a specific trace
Troubleshoot an issue to find the root cause using Trace Analyzer
Troubleshoot slow traces using Trace Analyzer
Find performance issues using AlwaysOn Profiling
Analyze memory usage using AlwaysOn Profiling
Find a code-level issue affecting a business transaction using Call Graph Profiling

Monitoring examples

Site reliability engineers, service owners, engineering executives, and performance engineers at Buttercup Games use Splunk APM for the following monitoring examples:

Monitor service performance using a built-in dashboard
Configure business transactions to track business KPIs
Monitor business transactions to measure business KPIs
Analyze historical service data to optimize system performance using the built-in dashboard
Monitor detector service latency for a group of customers