SLO alerting incident — 7 principles + checklists | StarCloudIT
AIOps • Observability › SLO, alerting and incident

SLO, alerting and incident — alert design and incident process in 7–14 days

SLO alerting incident is a concrete SRE playbook: we define SLI/SLO and an error budget, tidy up alerts (severity, thresholds, dedup), set up on-call, escalations and post-mortems. All on a unified stack (OpenTelemetry, Prometheus, Alertmanager/Grafana) with MTTR KPIs and a ready-to-use runbook.

SLO alerting incident — monitoring, alerting and SRE dashboards
From SLI/SLO and error budget to alerting, on-call and post-mortems.

SLO alerting incident — why and when

Business

Risk-based priorities

We link SLOs to user experience (chosen SLIs). The error budget lets you consciously “spend” reliability on change.

Team

Less noise, more context

Context-rich alerts (labels, runbook, “what changed?”) and deduplication reduce TTA/MTTA and MTTR.

Compliance

Evidence, KPIs and retros

Post-mortems, RCA and incident KPIs support audits and improve SLA predictability.

SLI vs SLO vs SLA — basics

SLI — indicator

A precise metric of experience (e.g., “p95 latency < 300 ms” or “availability”).

SLO — objective

The level to be met (e.g., 99.9%). Drives release and risk decisions.

SLA — agreement

An external promise with consequences. SLOs support SLAs, not the other way round.

Separate product SLOs from internal ones and keep them as code (Git) alongside alert thresholds.

SLO alerting incident — alerting design

Thresholds & windows

  • Alerts close to SLO (error-budget burn), not “every spike”.
  • Time windows and aggregations aligned to the SLI.

Noise reduction

  • Deduplication, silencing, dependency correlation.
  • Runbook and “what changed?” in the payload.

Escalations & on-call

  • Escalation graph (L1→L2→L3) and quiet hours.
  • Rotations and response SLOs (TTA/MTTA).

Incident management — on-call, RCA and post-mortems

Runbooks & roles

Incident Commander, Communications Lead, Scribe. Agreed channels, message templates and clear exit criteria.

RCA & improvement

Blameless: 5 Whys, timeline, corrective actions with owners and due dates. Metrics: MTTR, recurrence, incident cost.

Observability stack: OpenTelemetry, Prometheus, Grafana, Alertmanager

OTel instrumentation (SDK/Collector) + metrics/logs/traces, PromQL rules and Alertmanager alerts with PagerDuty/Opsgenie integration.

Further reading: Google SRE — Service Level Objectives, Prometheus — Alerting rules, OpenTelemetry — documentation, PagerDuty — Incident Response.

Starter package (2 weeks)

What we deliver
  • SLI/SLO map + initial targets and error budgets.
  • Alert rules, thresholds, burn-rate, deduplication.
  • On-call runbook + post-mortem template.
How we work
  • Discovery (2–3h), metrics and logs review.
  • SLO workshop and Alertmanager config.
  • Demo + recommendations list and a 90-day plan.
Outcomes
  • Less noise, faster responses (lower MTTR).
  • Clear release decisions via error budget.
  • Standardized incident actions.

FAQ — SLO, alerting and incident management

Should an SLO be “tighter” than an SLA?
Usually yes — we design SLOs stricter to keep a margin against the SLA and manage change risk better.
How do we cut alert noise?
Tie alerts to SLO/error budget, use dedup and correlation, add context (runbook, “what changed?”) and avoid overly low thresholds.
What should we measure in incidents?
TTA/MTTA, MTTR, incident cost, recurrence, SLO breaches and post-mortem quality.
OpenTelemetry or vendor agent?
OTel gives vendor-neutrality and consistent context. Vendor agents can be quicker to start but increase lock-in.
How fast can we start with SLO alerting incident?
Typically in 7–14 days: discovery, SLI/SLO map, alert rules and on-call runbook + first retrospectives.
Do you support PagerDuty/Opsgenie integrations?
Yes — we configure routing, escalation graphs, on-call schedules and event enrichment.

Want to structure SLOs, alerting and incident management?

Free 20-minute consultation — we’ll show the fastest path to lower MTTR and less alert noise.