Splunk AppDynamics continuously collects Transaction Snapshots that capture all events in a transaction path for use in performance troubleshooting and root cause analysis. Although rules and limits exist to prevent excessive resource consumption, you may have hundreds of individual snapshots to sort through as you investigate a particular performance issue.

The Automated Transaction Diagnostics (ATD) capability allows you to be proactive rather than reactive for anomalous transaction behavior. ATD uses machine learning to capitalize on the collected snapshots by automatically recognizing anomalies not yet severe enough to trigger alerts but significant enough to cause future production issues. In seconds you have a prioritized list of causal factor transactions that you can use to manage problematic business transactions before they become visible production slowdowns or outages for your customers.

ATD's guided root-cause analysis clearly exposes the anomalies with the contributing tiers, exit calls, or inter-tier network issues. This allows a broader range of less specialized users to more accurately analyze the behavior and significantly reduce repair time.