Expressing enterprise architecture as machine-readable, version-controlled artifacts to enable faster delivery, lower risk, and reduced cost.
Browse, model, and manage your application architecture catalog.
Reusable architecture patterns and reference implementations.
Enterprise standards, guardrails, and compliance policies.
Architecture exceptions, risk waivers, and remediation tracking.
Real-time governance KPIs computed from your architecture artifacts.
5 active waivers
critical + high risks
total risk exposure
1 fully remediated
systems using approved patterns
FinOps / infra waivers
Cross-domain risk exposure and standards adoption at a glance.
Systems inventory, pattern maturity distribution, and waiver lifecycle.
| System | LoC | Containers | Deploy Units | Disposition |
|---|---|---|---|---|
| E-Commerce Platform | 187.3K | 12 | 10 | Invest |
| Image Categorization | 31.4K | 4 | 3 | Invest |
| ML Platform | 22.1K | 2 | 2 | Tolerate |
| Demand Forecasting | 18.6K | 8 | 7 | Invest |
Replacing manual architecture reviews with automated, continuously enforced architectural governance.
Architecture is expressed in parseable formats (like YAML, JSON, or C4/Structurizr DSL) and versioned in Git to establish clear ownership and an audit trail.
Policies and constraints are codified as rules that execute automatically in CI/CD pipelines, providing clear pass/fail outputs.
Continuously detects drift between the "as-designed" architecture and the "as-built" infrastructure by comparing model facts to runtime configurations.
Architecture checks are run early in pipelines and platform gates to block non-compliant releases before they reach production environments.
Significant architectural decisions are recorded as Architecture Decision Records (ADRs) right next to the code to preserve rationale.
Combines expert architectural review with automated validation, ensuring human judgment guides decisions while automation handles repeatability and scale.
A repeatable, automated workflow from architecture design to production deployment.
Understanding requirements, reading specifications, and designing the architecture.
Authoring the AaC for standards, archetypes, and application components using IDEs or visual tools, followed by local validation.
Running automated schema validations and unit tests within CI pipelines to ensure components align with enterprise standards.
Executing architecture compliance validation, automatically generating artifacts (Markdowns, Diagrams), and gating approvals via PRs.
Publishing the approved architecture to Policy-as-Code pipelines, updating the enterprise catalog, and notifying stakeholders.
Understanding requirements, reading specifications, and designing the architecture.
Authoring the AaC for standards, archetypes, and application components using IDEs or visual tools, followed by local validation.
Running automated schema validations and unit tests within CI pipelines to ensure components align with enterprise standards.
Executing architecture compliance validation, automatically generating artifacts (Markdowns, Diagrams), and gating approvals via PRs.
Publishing the approved architecture to Policy-as-Code pipelines, updating the enterprise catalog, and notifying stakeholders.
Engineering and catalog quality indicators computed from your architecture models.
Average container density across modeled software systems.
Mean lines of code per modeled application system.
Average requirement count per published standard.
Systems with fully validated model and metadata.
Automated quality gates, parallel architecture validation, and deployment powered by GitHub Actions.
CLI tools, AI agents, and platform integrations to bring architecture governance into your development workflow.