Threshold-based alerts fire too much and miss real problems. SLO-based alerts fire less, and when they fire they matter.
Define The SLO
99.9% requests under 200ms over 30 days. Specific, measurable, user-relevant.
Error Budget
The 0.1% you can spend on outages, experiments, deploys. If you run out, slow down.
Burn Rate Alerts
Fast burn (consuming budget quickly) is page-worthy. Slow burn is ticket-worthy.
Review Regularly
Monthly: did we meet SLOs? If too easy, tighten. If impossible, investigate why.
Who This Is For
- Platform and SRE teams owning reliability
- Engineering leaders establishing DevOps culture
- Teams shipping faster than their pipeline can safely support
Common Mistakes
- Buying DevOps tools without changing culture
- Treating SLOs as KPIs instead of decision tools
- Automating what should be eliminated
Business Impact
- Deploy frequency measured in hours, not sprints
- Change failure rate under 5% at full velocity
- Engineer time reclaimed from manual ops
Frequently Asked Questions
SLO vs SLA?
SLA is contract with customer; SLO is internal target (usually stricter).
How many SLOs per service?
3-5 for critical user journeys. Availability, latency, correctness.
Tools?
Nobl9, Grafana SLO, cloud-native options. Or build on Prometheus.
Why AIM Tech AI
- Custom-built systems, not templates or off-the-shelf wrappers
- AI + backend + cloud + infrastructure expertise in one team
- Built for production scale, not demo-day experiments
- Beverly Hills, California — serving clients worldwide
Build Systems, Not Experiments
AIM Tech AI designs and ships AI, cloud, and custom software systems for companies ready to turn technology into real business advantage.
Book a Strategy Call →