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Prometheus Alerting Configuration

We audit your Prometheus alert rules, eliminate noise, implement multi-burn-rate SLO alerting, configure Alertmanager routing, and attach runbook links, so your on-call team gets meaningful pages, not alert storms.

Problems we solve

  • Alert storms overnight, mostly noise, so engineers stop reading them
  • No runbook links in alerts, on-call engineer stares at a metric with no idea what to do
  • Alerting on CPU > 80% for 1 minute, catches nothing real, pages constantly on spikes
  • No multi-window burn rate alerts, SLO breaches go undetected until customers complain
  • Alert rules not in version control, modified via the Prometheus UI and lost on restart

What's included

Alert rule audit: deduplicate, remove noise, and classify by severity
PrometheusRule CRDs for all alert rules (stored in Git, applied via Helm/ArgoCD)
Multi-window multi-burn-rate SLO alerts (Google SRE Workbook methodology)
Alertmanager routing tree: PagerDuty for P1, Slack for P2, email for P3
Alert inhibition rules to suppress child alerts during parent outages
Runbook links in every alert annotation (linking to your runbook platform)
Alert silence management workflow documentation
Alert fatigue dashboard: tracks firing rate, MTTR by alert name

Our approach

  1. 01

    Alert audit

    We review every existing alert rule. We classify each as: actionable (keep), noisy (tune threshold or duration), redundant (deduplicate), or absent (missing coverage). You receive a scored report.

  2. 02

    Rule refactoring

    We rewrite noisy alerts with appropriate for durations, add absent() detection for missing metrics, and remove synthetic thresholds in favour of rate-of-change and trend-based rules where appropriate.

  3. 03

    SLO alerting

    We implement the multiwindow, multi-burn-rate alerting approach from the Google SRE Workbook. This pages you when you are burning through your error budget fast, not just when a single threshold is crossed.

  4. 04

    Alertmanager routing

    We configure the routing tree: critical alerts go to PagerDuty with escalation policies, warnings go to Slack, informational alerts go to email. Inhibition rules suppress downstream alerts during known outages.

  5. 05

    Runbooks and documentation

    Every alert gets a runbook link. We either write runbooks for your most critical alerts or document the process for your team to complete them. Runbooks are stored in Git alongside alert rules.

Tech stack

PrometheusAlertmanagerPrometheusRule CRDskube-prometheus-stackPagerDutySlackGrafana OnCallHelmArgoCD

Results

We publish results only when a client has approved them. See how we publish case studies and a sample report.

FAQ

What is multi-window burn rate alerting?
Instead of alerting when a metric crosses a threshold, burn rate alerting detects how fast you are consuming your error budget in short (1h) and long (6h/3d) windows simultaneously. This catches both fast burns (immediate outage) and slow burns (gradual degradation) that simple threshold alerts miss.
What is alert fatigue and how do you fix it?
Alert fatigue happens when on-call engineers receive so many alerts that they start ignoring them. The fix is removing non-actionable alerts entirely, increasing for durations, adding inhibition rules, and ensuring every alert has a clear runbook. The aim is lower alert volume and better signal quality.
How do I store Prometheus alert rules in Git?
With the Prometheus Operator (part of kube-prometheus-stack), you define PrometheusRule custom resources that are applied to the cluster via Helm or ArgoCD. Prometheus automatically picks up changes. No manual UI edits needed.
What is an alert inhibition rule?
An inhibition rule suppresses child alerts when a parent alert is firing. For example, if a node is down (NodeDown), suppress all PodCrashLooping alerts on that node, they are a symptom, not a root cause. This can reduce noise during major incidents.
Should alerts page immediately or have a delay?
P1 alerts (service down, SLO budget burning fast) should page immediately. P2 alerts (elevated error rate, approaching threshold) often use a longer for duration (several minutes) to avoid alerting on transient spikes. P3 informational should never page on-call.

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Written by Saddique Khan, AWS & Azure Certified · Last updated October 2025