Technology Extension¶
The Technology Extension extends L1 with concepts specific to SaaS companies, platform engineering, and DevOps practices.
Overview¶
This extension covers:
Organization — Tech companies, engineering teams
Products — SaaS products, platform services, API endpoints
Infrastructure — Microservices, cloud infrastructure, ML models, data pipelines
Roles — Product managers, software engineers, SREs, data engineers
Workflow — Sprints, feature requests, deployments, incidents
Risk — Technical debt, security vulnerabilities
Policies — SLA agreements
Processes — CI/CD, incident response
KPIs — Service uptime, deployment frequency, MTTR, MRR, churn rate
Statistics¶
| Category | Count |
|---|---|
| New Classes | 29 |
| New Relations | 12 |
| Sample Instances | 7 |
Key Classes¶
| Class | Parent (L1) | Description |
|---|---|---|
SaaSProduct |
ProductService |
Cloud software delivered via subscription |
Microservice |
SystemApplication |
Independently deployable service unit |
CICDProcess |
Process |
Continuous integration and delivery pipeline |
Incident |
Event |
Production availability/performance issue |
SREEngineer |
Role |
Site reliability and operational automation |
MRR |
KPI |
Monthly recurring revenue |
MTTR |
KPI |
Mean time to recovery |
Use Cases¶
- Engineering organization knowledge graph
- Incident root-cause analysis across microservice dependencies
- DORA metrics dashboard (deployment frequency, lead time, MTTR, change failure rate)
- SaaS business metrics (MRR, churn, LTV) linked to product and engineering data