slo-reliability-architect

Journey-based SLO design inventories critical user paths like login or checkout, then assigns symptom-based SLIs at the edge where users actually experience failures. This replaces noisy infrastructure-first alerting with business-relevant reliability targets.

An error budget translates reliability targets into user-meaningful thresholds. Burn-rate alerting fires pages when budget consumption threatens the SLO, while cause metrics are demoted to tickets to reduce alert noise and focus on real customer pain.

Per-tenant SLO design evaluates shared failure modes and noisy-neighbor effects across dependency chains. This provides tiered reliability views so aggregate metrics do not hide real customer pain for specific enterprise tenants.

Yes, error budgets directly inform release-governance decisions. When budget burn rates exceed defined thresholds, the policy indicates when release velocity must slow down to protect user-experienced reliability.

You need baseline traffic and failure data, dependency knowledge, and explicit measurement points. These inputs allow pages to map to budget burn rather than infrastructure noise across critical user journeys.

Aggregate metrics often hide real customer pain caused by multi-tenant noisy-neighbor effects and shared failure modes. Implementing per-tenant SLOs and symptom-based SLIs resolves this by measuring reliability at the individual tenant level.