Unified schema enriched with ML metadata
Warestack unifies all signals into a structured dataset. Access it in our dashboard, as raw data through our API or deterministic SQL queries.
Normalized Schema
All events are transformed into Warestack's canonical schema, a structured event model that maps entities like PullRequest, Review, Commit, Issue, WorkflowRun more into SQL tables with deterministic joins
Raw and Unified Data
Continuously captures GitHub PR metadata, CI/CD logs, Slack discussions, and project management issues updates. Data can be accessed as raw event streams (JSON/Webhooks) or explored in Warestack's unified dashboard.
Metadata Enrichment
Every data object is enriched with metadata such as review latency, loc changed, is afterhours, and risk score. Machine-learning models detect recurrent behavioral patterns.
Contextual Insights
It correlates signals across systems, linking code changes to communication, deployments, checks, and incidents. You can trace relationships between multiple PRs a failed deploy event and a rushed_merge pattern.
See every PR signal in one place — and act on it
Warestack ingests diffs, CI artifacts, review comments, linked issues, Slack threads and deployment events and maps them into a unified, queryable schema. That single source of truth makes it possible to write simple, explainable policies that reason over the whole lifecycle, not just a single event.
Contextual Review
"If a PR modifies payment code and tests are flaky, require an extra reviewer."
Safe Deployments
"If a PR links to a Linear task marked 'hotfix' but deploy time is outside business hours, block deploy."
Incident Correlation
"Show correlation: PR → failing workflow → incident ticket."