Technology And Engineering Metrics¶
Canonical metrics currently defined for the Technology And Engineering domain.
| Metric | Definition | Grain | Kind | Status |
|---|---|---|---|---|
| Active AI Agent Count | The number of AI agents currently deployed and in active use across the organization's products and internal operations. | AI agent at a point in time | observed | active |
| Active HTTP Requests | The number of HTTP requests currently being processed by a service. | service at a point in time | observed | active |
| AI Project Progress | The proportion of an AI project's planned scope that has been completed relative to its total planned scope, as of a given point in time. | AI project at a point in time | derived | active |
| AI Services in Production | The number of distinct AI services or models that are deployed and operating in a live production environment. | AI service at a point in time | observed | active |
| Blocked Work Count | The number of engineering work items currently unable to proceed due to a dependency, defect, or unresolved issue. | work item at a point in time | observed | active |
| Cloud Spend | The total cost incurred for cloud infrastructure and hosted services consumed within a defined period. | period | observed | active |
| Cycle Time | The elapsed time between when work on an item begins and when it is completed and released. | work item | derived | active |
| Database Operation Duration | The duration of database operations performed by a service. | database operation | observed | active |
| Deployment Frequency | The number of times a service or application is deployed to production within a defined period. | service by period | observed | active |
| Engineering Capacity | The amount of available engineering effort, relative to demand, that a team can apply to planned work within a defined period. | team by period | derived | active |
| Escaped Defect Count | The number of defects identified in production that were not caught prior to release. | period | observed | active |
| HTTP Client Request Duration | The elapsed time required to complete an outbound HTTP request initiated by an observed service. | HTTP client request | observed | active |
| HTTP Request Error Rate | The proportion of HTTP requests processed by a service that result in server error responses. | service per time interval | derived | active |
| HTTP Request Latency | The time taken by a service to process an HTTP request. | HTTP request | observed | active |
| HTTP Request Rate | The rate at which HTTP requests are processed by a service. | service per time interval | derived | active |
| Incident Count | The number of operational incidents affecting service availability or performance within a defined period. | period | observed | active |
| Infrastructure Cost | The total cost of technology infrastructure, including cloud, hosting, and supporting tooling, incurred within a defined period. | period | observed | active |
| Mean Time to Recovery | The average elapsed time between the detection of a service incident and its resolution. | period | derived | active |
| Planned Work Completion Rate | The proportion of work planned for a defined period that is actually completed within that period. | team by period | derived | active |
| Process CPU Utilization | The proportion of available CPU processing capacity being consumed by a service process. | service instance over time interval | observed | active |
| Process Memory Usage | The amount of physical memory currently used by a service process. | service instance at a point in time | observed | active |
| Process Uptime | The elapsed time since a service process started. | service instance at a point in time | derived | active |
| Redis Operation Duration | The duration of Redis operations performed by a service. | Redis operation | observed | active |
Source of Truth¶
The canonical definitions are maintained as machine readable YAML files in definitions/ and validated against the definition schemas.
This page is generated automatically and should not be edited directly.