Split Cause
Graph-based root cause analysis with Bayesian inference. Model system dependencies, gather evidence, and let the inference engine guide your investigation.
Features
- ✓Visual graph modeling of system dependencies
- ✓Bayesian probability updates based on evidence
- ✓Hypothesis testing with confidence tracking
- ✓Suspect slice computation (Reach ∩ RevReach)
- ✓Conflict resolution for mutually exclusive hypotheses
- ✓Snapshots and versioning
- ✓Share links with scoped access control
How It Works
- 1.Create nodes for system components and hypotheses
- 2.Draw edges to model dependencies and flows
- 3.Mark components as OK/FAILED based on observations
- 4.Attach evidence to nodes (logs, metrics, test results)
- 5.Run inference to update hypothesis probabilities
- 6.Identify likely root causes based on posteriors
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