Skills wshobson agents

slo-implementation

Use it when:
You're setting reliability targets for a service, adopting SRE practices or tying alerts to what users actually experience.
It does:
Defines availability and latency as the share of good requests, sets a target, and treats the gap to 100% as an error budget, the failure you can afford.
You get:
Prometheus recording and alerting rules for the SLIs, compliance, budget left and fast or slow burn, plus a dashboard layout and queries.
Also covers:
An error budget policy that slows, then freezes changes as the budget runs out, and weekly, monthly and quarterly SLO reviews.

TL;DR

Terms first: an SLI is a measurement such as the share of requests without a 5xx error, an SLO the internal target for it, an SLA the contract with customers. It writes availability and latency SLIs in PromQL over 28 days, plus a durability ratio, tabulates the downtime 99% to 99.99% allows, and lists what to weigh in a target: user expectations, business needs, current performance, cost and competitors. The error budget is one minus the target, so 99.9% leaves 43.2 minutes a month; a policy maps the budget left to action, from normal velocity to a feature freeze at zero. Prometheus recording rules compute the SLIs, compliance, the budget left and a 5-minute burn rate, how fast the budget is being spent. Alerts fire on a fast burn (14.4 times, over one hour and five minutes), a slow burn (6 times, over six hours and 30 minutes) and an exhausted budget, but the longer burn rates they use are left for you to record. A Grafana layout and queries show compliance, budget, trend and days until it runs out. A reference file adds a combined alert, the review cadence and ten best practices, such as never aiming for 100%.

Summarizes the skill at 4bde316.

npx skills add https://github.com/wshobson/agents --skill slo-implementation
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Category

Deploy, provision, observe and debug cloud apps.

Everything for building software: planning, coding, debugging, design, frameworks, cloud, agents and skills.

Type

Knowledge and rules the agent applies while it works: best practices, design principles, API references.

Effect

Adds no side effects of its own. It shapes how the agent thinks, writes or reviews. Guidelines and routers are always effect:none, even when the task they support edits code.

Needs

Instructions only. Works in any agent that supports skills.

Publisher

Everyone else. Unverified vendor claims default to community.

Topics
Stack

SKILL.md

From wshobson/agents at 4bde316. Checked daily, last changed Nov 6, 2026.

Frontmatter
name: slo-implementation
description: 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.

SLO Implementation

Framework for defining and implementing Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets.

Purpose

Implement measurable reliability targets using SLIs, SLOs, and error budgets to balance reliability with innovation velocity.

When to Use

  • Define service reliability targets
  • Measure user-perceived reliability
  • Implement error budgets
  • Create SLO-based alerts
  • Track reliability goals

SLI/SLO/SLA Hierarchy

SLA (Service Level Agreement)
  ↓ Contract with customers
SLO (Service Level Objective)
  ↓ Internal reliability target
SLI (Service Level Indicator)
  ↓ Actual measurement

Defining SLIs

Common SLI Types
1. Availability SLI
# Successful requests / Total requests
sum(rate(http_requests_total{status!~"5.."}[28d]))
/
sum(rate(http_requests_total[28d]))
2. Latency SLI
# 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]))
3. Durability SLI
# Successful writes / Total writes
sum(storage_writes_successful_total)
/
sum(storage_writes_total)

Setting SLO Targets

Availability SLO Examples
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
Choose Appropriate SLOs

Consider:

  • User expectations
  • Business requirements
  • Current performance
  • Cost of reliability
  • Competitor benchmarks

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 Calculation

Error Budget Formula
Error Budget = 1 - SLO Target

Example:

  • SLO: 99.9% availability
  • Error Budget: 0.1% = 43.2 minutes/month
  • Current Error: 0.05% = 21.6 minutes/month
  • Remaining Budget: 50%
Error Budget Policy
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

SLO Implementation

Prometheus Recording Rules
# 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)
SLO Alerting Rules
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 }}%"

SLO Dashboard

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)

Additional patterns and templates

More detailed templates and worked examples live in references/details.md. Read that file for the full pattern library.