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部署与运维 · SKILL.md

observability-slo-and-alerting

observability-slo-and-alerting

【部署与运维】Define and operate SLIs, SLOs, error budgets, dashboards, alerts, telemetry correlation, and deployment verification. Use when onboarding a service, changing monitoring, tuning alerts, reviewing reliability, diagnosing a production issue, or deciding whether release velocity must be reduced.

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name: observability-slo-and-alerting description: Define and operate SLIs, SLOs, error budgets, dashboards, alerts, telemetry correlation, and deployment verification. Use when onboarding a service, changing monitoring, tuning alerts, reviewing reliability, diagnosing a production issue, or deciding whether release velocity must be reduced.

Observability, SLO, and Alerting

Measure user-visible outcomes, not merely process liveness. Alerts must be actionable, attributable, and linked to an owner and runbook.

Reference basis: Google SRE error-budget policy for release/reliability decisions, and OpenTelemetry log correlation for connecting logs, traces, and metrics through shared execution and resource context.

1. Service reliability contract

For each production service, declare owner, users/journey, critical dependencies, SLI source, SLO target/window, error-budget policy, alert thresholds, dashboard, and runbook. Choose SLIs that reflect the service: availability, latency, correctness, freshness, saturation, or successful asynchronous delivery.

An SLO without a measurable query, owner, and response policy is documentation, not an operational control. Use error-budget consumption to decide release velocity, canary progression, and reliability work priority.

2. Telemetry design

  • Emit metrics, logs, and traces with consistent service, environment, revision/digest, region, and instance/resource identity.
  • Propagate trace context and include trace/span identifiers in logs where supported. Do not put credentials, raw personal data, database connection strings, or high-cardinality unbounded values in labels.
  • Keep a dashboard for golden signals and dependencies: traffic, errors, latency, saturation, resource capacity, background-job freshness, DNS/TLS expiry where relevant, and deploy/change markers.

3. Alert policy

SeverityMeaningRequired response
PageActive or imminent user/data/security impactOn-call acknowledgement, incident path, runbook
TicketAction needed but not urgentOwner, due date, trend/watch query
InfoContext or audit eventNo human interruption by default

Every page needs an owner, escalation path, symptom, impact threshold, dashboard link, runbook, and a clear resolve condition. Test alert routing and silence expiry. Avoid alerts that only report a known deployment or lack a response action.

4. Deploy and incident verification

Before a production rollout, define the baseline and success/error signals. During rollout, compare the promoted revision with baseline SLI, logs/traces, and dependency health. After rollout, record the observation window and rollback threshold. A deployment is not successful because the workflow exited zero; it must meet the declared service health criteria.

Review noisy, missing, and stale alerts after incidents. Link material incidents to SLO/error-budget impact and corrective work.

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