SLAs, SLOs, and SLIs: Measuring Service Reliability
Master SRE reliability math: Service Level Indicators (SLI), Service Level Objectives (SLO), Service Level Agreements (SLA), availability calculations from 99.9% to 99.999%, and safety buffer architectures.
01.1. The Reliability Triad: SLI, SLO, and SLA Defined
In Site Reliability Engineering (SRE), reliability is quantified through three distinct, hierarchical concepts:
1. Service Level Indicator (SLI)
The quantifiable, real-time metric that measures how well a service is performing from the perspective of the user. An SLI is always expressed as the ratio of successful events to total valid events:
SLI = \frac{Good Events}{Total Valid Events} Γ 100\%
- Example: The proportion of HTTP requests to
/api/v1/checkoutthat return status< 500with response time< 250msover a 5-minute window.
2. Service Level Objective (SLO)
The target reliability goal agreed upon by engineering and product management over a defined rolling window (e.g., 30 days).
- Example: "The checkout service SLI must be
β₯ 99.9\%over any rolling 30-day window." - Operational Meaning: The SLO dictates the Error Budget (
100\% - SLO) used to balance deployment velocity with system stability.
3. Service Level Agreement (SLA)
The legally binding commercial contract between a service provider and its customers defining promised service availability.
- Example: "We guarantee 99.0% monthly uptime. If availability drops below 99.0%, customers receive a 25% billing credit."
- Financial Consequence: Violating an SLA directly triggers financial refunds, service credits, or contract termination clauses.
The SLI -> SLO -> SLA Reliability Hierarchy
The SLI -> SLO -> SLA Reliability Hierarchy
Hierarchical relationship: SLI quantifies reality, SLO sets internal engineering quality goals, and SLA defines legal contractual commitments with safety buffers.
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