All your engineering data, in a unified schema.
"all in a single source of truth"
Warestack ingests events from GitHub, Linear, Jira, and Slack into a single queryable schema. Calculate DORA metrics, trace ticket-to-deploy lead times, and generate reports—all from one source of truth.
Stop context-switching between GitHub, Jira, Linear, and Slack. Warestack builds a unified lineage for every PR with metadata, associations, and behavioral patterns—queryable with SQL or natural language.
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.
Enrich with behavioral pattern metadata
Warestack doesn't just store events—it enriches them with behavioral patterns, associations, and computed metrics like cycle time, review velocity, and deployment frequency.
{
"pull_request": {
"id": "PR-4832",
"title": "feat: add auth middleware",
"author": "mary@acme.com",
"status": "merged",
"created_at": "2025-10-12T09:14:00Z",
"merged_at": "2025-10-14T11:30:00Z"
},
"warestack_metadata": {
"cycle_time_hours": 50.3,
"review_rounds": 2,
"linked_issue": "LIN-294",
"deployment_id": "deploy-9821",
"first_review_at": "2025-10-12T14:22:00Z",
"team": "backend",
"patterns": ["security-change", "large-diff"]
}
}Built for engineering leadership
The unified schema enables metrics and reports that were previously impossible without expensive data engineering projects.
DORA Metrics
Calculate deployment frequency, lead time for changes, change failure rate, and mean time to recovery—automatically from your Git and CI data.
"What was our lead time for changes last quarter?"Compliance Audit Trails
Generate SOC 2 and HIPAA audit reports showing who changed what, when, with full approval chains. Zero manual documentation.
"Show all production changes requiring security review"Cycle Time Analysis
Track ticket-to-deploy lead time, identify bottlenecks in code review, and measure cross-team handoff delays.
"Which team has the longest review-to-merge time?"Executive Reports
Generate weekly engineering reports for leadership with delivery velocity, risk indicators, and team performance trends.
"Send me a weekly summary of blocked PRs"