Overview
Stop Tracing Dependencies by Hand
A checkout error rarely starts at checkout. It's usually the visible end of a chain that began somewhere further upstream — a database slowdown, a saturated thread pool, a recent deployment. Finding that chain manually means jumping between tools and reconstructing the sequence from memory, and it's one of the biggest contributors to slow resolution times.
Root Cause Analysis automates that tracing. It correlates telemetry across application, infrastructure and database layers, weighs recent changes and deployments, and surfaces the most likely root causes ranked by confidence — so investigation starts from a short list instead of a blank slate.
Capabilities
Automated Dependency Mapping
Builds and maintains a picture of how services, infrastructure and data layers relate.
Symptom-to-Cause Chains
Traces a visible symptom back through the systems that contributed to it, step by step.
Cross-Layer Correlation
Correlates signals across application, infrastructure and database tiers, not just one layer.
Change Correlation
Weighs recent deployments and configuration changes against the timing of an incident.
Confidence-Ranked Findings
Presents the most likely root causes ranked by confidence, not an undifferentiated list.
Historical Pattern Matching
Compares against prior incidents with similar signatures to speed up diagnosis.
What's Included
- Automatic dependency and topology mapping
- Symptom-to-root-cause chain visualization
- Correlation across application, infrastructure and database layers
- Deployment and change correlation
- Confidence-ranked root cause candidates
- Integration with AppDynamics and Dynatrace telemetry
- Historical incident pattern matching
- 24/7 monitoring integration and support