DORA 메트릭 - 엔지니어링 성과 측정 | Archyl
아키텍처와 상관된 배포 빈도, 리드 타임, MTTR, 변경 실패율을 추적. 아키텍처 변경의 영향을 측정.
Store your architecture model as an archyl.yaml file in Git. Review architecture changes in PRs, sync via GitHub Actions, and treat your architecture with the same rigor as your code.
Architecture as Code | YAML + Git + CI/CD | Archyl
Define your architecture as code in YAML, store it in Git, review changes in PRs, and sync via GitHub Actions. Treat architecture with the same rigor as code.
architecture as code, architecture as code tool, architecture YAML, architecture Git, architecture CI/CD, GitOps architecture
Your code is in Git, but your architecture model is in a diagramming tool or wiki. There's no history, no diffs, no pull requests for architecture changes.
No review process for architecture
Code changes get reviewed in PRs, but architecture changes happen ad-hoc. There's no formal process to catch risky structural decisions.
Keeping your architecture tool in sync with reality requires manual updates. People forget, make mistakes, or simply skip the step.
Define your C4 model in a clean YAML format. Export from the Archyl UI or write it from scratch. Commit it to your repo.
When architecture changes, the YAML diff shows exactly what changed. Reviewers can approve or request changes just like code.
On merge, Archyl's GitHub Action syncs the YAML file to your Archyl project. Your visual model updates automatically.
Changes made in the Archyl UI can be exported back to YAML. The flow works in both directions.
architecture-insights
Archyl's AI analyzes your C4 model to detect single points of failure, circular dependencies, orphan elements, security concerns, and high coupling -- then recommends specific improvements.
Architecture Insights | AI-Powered Architecture Analysis | Archyl
Get AI-generated architecture recommendations. Detect SPOFs, circular dependencies, orphan elements, security issues, and high coupling. Actionable insights for better architecture.
architecture insights, architecture analysis tool, AI architecture recommendations, detect architecture issues, architecture quality analysis
Without automated analysis, architecture quality depends on who reviews it. Different reviewers catch different issues -- or miss them entirely.
Model your architecture
Use Archyl's UI, YAML, or AI Discovery to create your C4 model. The more detail, the richer the insights.
Archyl's AI engine examines your entire architecture: element relationships, dependency patterns, technology choices, and structural topology.
Link ADRs to C4 model elements for traceable architecture decisions. Document the why behind your system design with structured, searchable records.
architecture decision records, ADR tool, architecture decisions documentation, ADR linked to C4, traceable architecture decisions
Critical architecture decisions are made in Slack threads, Zoom calls, and whiteboard sessions. Months later, nobody remembers why the system works this way.