Graph-powered root-cause analysis
Kaizen links every incident to the deployment, commit and function behind it, and shows the evidence path from change to failure.
Features
Commits, functions, deployments and runtime errors live in one FalkorDB graph, so every incident starts already linked to the code that shipped before it.
Candidate commits are scored on the graph path to the failing function, deploy timing and history, and every score shows the path behind it.
A revert or patch is proposed for the top cause and replayed against the failing traffic, and a person approves it before anything changes.
Resolved incidents, their causes and fixes are written back to the graph, so the next similar failure is recognised faster.
How it works
Install the GitHub App on a repository. History, functions and deployments are imported into the graph.
Runtime events stream in; an incident opens when error rate or latency leaves its baseline.
Suspect commits are ranked and the evidence path from change to failure is drawn for you.
Approve a checked fix; the outcome is stored so the next investigation starts smarter.
Integrations
Connect a repository and see your next incident traced to its cause.
Get started