Metrics Report
This page shows the distribution of SLOs across different ontology label dimensions. Generated from the examples/METRICS.md report.
Overview
The example SLOs demonstrate coverage across all ontology dimensions:
- 64 total SLOs across 6 example sets
- 12 ontology dimensions with values assigned
- Multiple frameworks represented: Custom, RED, USE
Distribution by Framework
| Set Name |
Custom |
RED |
USE |
Total |
| ai-agents |
15 |
5 |
0 |
20 |
| budgeting-method |
3 |
0 |
0 |
3 |
| red-metrics |
0 |
5 |
0 |
5 |
| saas-crm |
24 |
0 |
0 |
24 |
| treat-low-traffic-as-equally-important |
1 |
0 |
0 |
1 |
| use-metrics |
0 |
0 |
11 |
11 |
| Total |
43 |
10 |
11 |
64 |
Distribution by Layer
| Set Name |
Application |
Business |
Infrastructure |
Service |
Total |
| ai-agents |
0 |
15 |
0 |
5 |
20 |
| budgeting-method |
0 |
0 |
0 |
3 |
3 |
| red-metrics |
0 |
0 |
0 |
5 |
5 |
| saas-crm |
0 |
24 |
0 |
0 |
24 |
| treat-low-traffic-as-equally-important |
0 |
0 |
0 |
1 |
1 |
| use-metrics |
0 |
0 |
11 |
0 |
11 |
| Total |
0 |
39 |
11 |
14 |
64 |
Distribution by Scope
| Set Name |
Business Outcome |
Customer Facing |
Internal |
Total |
| ai-agents |
12 |
8 |
0 |
20 |
| budgeting-method |
0 |
3 |
0 |
3 |
| red-metrics |
0 |
5 |
0 |
5 |
| saas-crm |
24 |
0 |
0 |
24 |
| treat-low-traffic-as-equally-important |
0 |
1 |
0 |
1 |
| use-metrics |
0 |
0 |
11 |
11 |
| Total |
36 |
17 |
11 |
64 |
Distribution by Audience
| Set Name |
Customer Success |
Engineering |
Executive |
Product |
SRE |
Total |
| ai-agents |
0 |
0 |
4 |
11 |
5 |
20 |
| budgeting-method |
0 |
0 |
0 |
0 |
3 |
3 |
| red-metrics |
0 |
0 |
0 |
0 |
5 |
5 |
| saas-crm |
0 |
0 |
3 |
21 |
0 |
24 |
| treat-low-traffic-as-equally-important |
0 |
0 |
0 |
0 |
1 |
1 |
| use-metrics |
0 |
0 |
0 |
0 |
11 |
11 |
| Total |
0 |
0 |
7 |
32 |
25 |
64 |
Distribution by Category
| Set Name |
Availability |
Cost |
Engagement |
Latency |
Quality |
Resource |
Throughput |
Total |
| ai-agents |
0 |
4 |
4 |
3 |
9 |
0 |
0 |
20 |
| budgeting-method |
2 |
0 |
0 |
1 |
0 |
0 |
0 |
3 |
| red-metrics |
1 |
0 |
0 |
2 |
1 |
0 |
1 |
5 |
| saas-crm |
0 |
0 |
12 |
0 |
0 |
0 |
0 |
12 |
| use-metrics |
0 |
0 |
0 |
0 |
0 |
11 |
0 |
11 |
| Total |
4 |
4 |
16 |
6 |
10 |
11 |
1 |
52 |
Distribution by Severity
| Set Name |
Critical |
High |
Medium |
Total |
| ai-agents |
6 |
10 |
4 |
20 |
| budgeting-method |
2 |
1 |
0 |
3 |
| red-metrics |
2 |
2 |
1 |
5 |
| saas-crm |
5 |
14 |
5 |
24 |
| treat-low-traffic-as-equally-important |
1 |
0 |
0 |
1 |
| use-metrics |
4 |
5 |
2 |
11 |
| Total |
20 |
32 |
12 |
64 |
Distribution by Tier
| Set Name |
P0 |
P1 |
P2 |
Total |
| ai-agents |
11 |
5 |
4 |
20 |
| budgeting-method |
2 |
1 |
0 |
3 |
| red-metrics |
3 |
2 |
0 |
5 |
| saas-crm |
9 |
10 |
5 |
24 |
| treat-low-traffic-as-equally-important |
1 |
0 |
0 |
1 |
| use-metrics |
6 |
5 |
0 |
11 |
| Total |
32 |
23 |
9 |
64 |
Distribution by Metric Type
| Set Name |
Activation |
Adoption |
Availability |
Duration |
Efficiency |
Errors |
Retention |
Satisfaction |
Stickiness |
Total |
| ai-agents |
0 |
0 |
0 |
3 |
8 |
2 |
0 |
3 |
0 |
16 |
| budgeting-method |
0 |
0 |
2 |
1 |
0 |
0 |
0 |
0 |
0 |
3 |
| red-metrics |
0 |
0 |
1 |
2 |
0 |
1 |
0 |
0 |
0 |
4 |
| saas-crm |
3 |
5 |
0 |
0 |
0 |
0 |
5 |
0 |
3 |
16 |
| use-metrics |
0 |
0 |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
4 |
| Total |
3 |
5 |
4 |
6 |
8 |
7 |
5 |
3 |
3 |
44 |
Distribution by Resource Type
| Set Name |
CPU |
Disk |
Memory |
Network |
Total |
| use-metrics |
3 |
3 |
3 |
2 |
11 |
| Total |
3 |
3 |
3 |
2 |
11 |
Distribution by Domain
| Set Name |
AI/ML |
CRM |
E-commerce |
Total |
| ai-agents |
20 |
0 |
0 |
20 |
| budgeting-method |
0 |
0 |
2 |
2 |
| saas-crm |
0 |
24 |
0 |
24 |
| Total |
20 |
24 |
2 |
46 |
Distribution by Journey Stage
| Set Name |
Activation |
Engagement |
Retention |
Revenue |
Total |
| saas-crm |
3 |
8 |
5 |
3 |
19 |
| Total |
3 |
8 |
5 |
3 |
19 |
Generating This Report
The metrics report is generated using the gen-metrics-doc CLI tool:
go run ./cmd/gen-metrics-doc > examples/METRICS.md
This tool analyzes all example SLO sets and produces a cross-tabulation of labels across all dimensions.