Best for
- Define service reliability targets
- Measure user-perceived reliability
- Implement error budgets
wshobson/agents/plugins/observability-monitoring/skills/slo-implementation/SKILL.md
Define and implement Service Level Indicators (SLIs) and Service Level Objectives (SLOs) with error budgets and alerting. Use when establishing reliability targets, implementing SRE practices, or measuring service performance.
Decision brief
Framework for defining and implementing Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets.
Compatibility matrix
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/wshobson/agents --skill "plugins/observability-monitoring/skills/slo-implementation"Inspect the Agent Skill "slo-implementation" from https://github.com/wshobson/agents/blob/c4b82b0ad771190355eb8e204b1329732a18449a/plugins/observability-monitoring/skills/slo-implementation/SKILL.md at commit c4b82b0ad771190355eb8e204b1329732a18449a. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
Review the “SLO Implementation” section in the pinned source before continuing.
Implement measurable reliability targets using SLIs, SLOs, and error budgets to balance reliability with innovation velocity.
Define service reliability targets
Review the “SLI/SLO/SLA Hierarchy” section in the pinned source before continuing.
Review the “Defining SLIs” section in the pinned source before continuing.
Permission review
The documentation asks the agent to read local files, directories, or repositories.
More detailed templates and worked examples live in `references/details.md`. Read that file for the full pattern library.Evidence record
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 73/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 38,313 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
Framework for defining and implementing Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets.
Implement measurable reliability targets using SLIs, SLOs, and error budgets to balance reliability with innovation velocity.
SLA (Service Level Agreement)
↓ Contract with customers
SLO (Service Level Objective)
↓ Internal reliability target
SLI (Service Level Indicator)
↓ Actual measurement
# Successful requests / Total requests
sum(rate(http_requests_total{status!~"5.."}[28d]))
/
sum(rate(http_requests_total[28d]))
# Requests below latency threshold / Total requests
sum(rate(http_request_duration_seconds_bucket{le="0.5"}[28d]))
/
sum(rate(http_request_duration_seconds_count[28d]))
# Successful writes / Total writes
sum(storage_writes_successful_total)
/
sum(storage_writes_total)
Reference: See references/slo-definitions.md
| SLO % | Downtime/Month | Downtime/Year |
|---|---|---|
| 99% | 7.2 hours | 3.65 days |
| 99.9% | 43.2 minutes | 8.76 hours |
| 99.95% | 21.6 minutes | 4.38 hours |
| 99.99% | 4.32 minutes | 52.56 minutes |
Consider:
Example SLOs:
slos:
- name: api_availability
target: 99.9
window: 28d
sli: |
sum(rate(http_requests_total{status!~"5.."}[28d]))
/
sum(rate(http_requests_total[28d]))
- name: api_latency_p95
target: 99
window: 28d
sli: |
sum(rate(http_request_duration_seconds_bucket{le="0.5"}[28d]))
/
sum(rate(http_request_duration_seconds_count[28d]))
Error Budget = 1 - SLO Target
Example:
error_budget_policy:
- remaining_budget: 100%
action: Normal development velocity
- remaining_budget: 50%
action: Consider postponing risky changes
- remaining_budget: 10%
action: Freeze non-critical changes
- remaining_budget: 0%
action: Feature freeze, focus on reliability
Reference: See references/error-budget.md
# SLI Recording Rules
groups:
- name: sli_rules
interval: 30s
rules:
# Availability SLI
- record: sli:http_availability:ratio
expr: |
sum(rate(http_requests_total{status!~"5.."}[28d]))
/
sum(rate(http_requests_total[28d]))
# Latency SLI (requests < 500ms)
- record: sli:http_latency:ratio
expr: |
sum(rate(http_request_duration_seconds_bucket{le="0.5"}[28d]))
/
sum(rate(http_request_duration_seconds_count[28d]))
- name: slo_rules
interval: 5m
rules:
# SLO compliance (1 = meeting SLO, 0 = violating)
- record: slo:http_availability:compliance
expr: sli:http_availability:ratio >= bool 0.999
- record: slo:http_latency:compliance
expr: sli:http_latency:ratio >= bool 0.99
# Error budget remaining (percentage)
- record: slo:http_availability:error_budget_remaining
expr: |
(sli:http_availability:ratio - 0.999) / (1 - 0.999) * 100
# Error budget burn rate
- record: slo:http_availability:burn_rate_5m
expr: |
(1 - (
sum(rate(http_requests_total{status!~"5.."}[5m]))
/
sum(rate(http_requests_total[5m]))
)) / (1 - 0.999)
groups:
- name: slo_alerts
interval: 1m
rules:
# Fast burn: 14.4x rate, 1 hour window
# Consumes 2% error budget in 1 hour
- alert: SLOErrorBudgetBurnFast
expr: |
slo:http_availability:burn_rate_1h > 14.4
and
slo:http_availability:burn_rate_5m > 14.4
for: 2m
labels:
severity: critical
annotations:
summary: "Fast error budget burn detected"
description: "Error budget burning at {{ $value }}x rate"
# Slow burn: 6x rate, 6 hour window
# Consumes 5% error budget in 6 hours
- alert: SLOErrorBudgetBurnSlow
expr: |
slo:http_availability:burn_rate_6h > 6
and
slo:http_availability:burn_rate_30m > 6
for: 15m
labels:
severity: warning
annotations:
summary: "Slow error budget burn detected"
description: "Error budget burning at {{ $value }}x rate"
# Error budget exhausted
- alert: SLOErrorBudgetExhausted
expr: slo:http_availability:error_budget_remaining < 0
for: 5m
labels:
severity: critical
annotations:
summary: "SLO error budget exhausted"
description: "Error budget remaining: {{ $value }}%"
Grafana Dashboard Structure:
┌────────────────────────────────────┐
│ SLO Compliance (Current) │
│ ✓ 99.95% (Target: 99.9%) │
├────────────────────────────────────┤
│ Error Budget Remaining: 65% │
│ ████████░░ 65% │
├────────────────────────────────────┤
│ SLI Trend (28 days) │
│ [Time series graph] │
├────────────────────────────────────┤
│ Burn Rate Analysis │
│ [Burn rate by time window] │
└────────────────────────────────────┘
Example Queries:
# Current SLO compliance
sli:http_availability:ratio * 100
# Error budget remaining
slo:http_availability:error_budget_remaining
# Days until error budget exhausted (at current burn rate)
(slo:http_availability:error_budget_remaining / 100)
*
28
/
(1 - sli:http_availability:ratio) * (1 - 0.999)
More detailed templates and worked examples live in references/details.md. Read that file for the full pattern library.