Pre-breach SLO management is the practice of keeping service level objectives met by acting on error budget burn rate before the SLO breaks, rather than responding after a breach. It combines burn-rate detection, cross-domain correlation, approved remediation and a permanent code fix in one closed loop.
How it differs from what came before
| Approach | Trigger | Outcome |
|---|---|---|
| SLO reporting | End of the period | You learn you missed the target |
| Burn-rate alerting | Burn rate crosses a threshold | A person is paged to work it out |
| Incident response and AI SRE | An incident is opened | The cause is found after users are hit |
| Pre-breach SLO management | Burn rate crosses a threshold | The burn is stopped, the cause fixed, the situation learned |
Budget keptBreachedThresholdBreach
- SteadyNinesActs on the burn. Budget kept
- Burn-rate alertingPages a person to work it out
- Incident response, AI SREStarts once users are hit
- SLO reportingYou learn you missed it
The four parts
- Burn-rate detection over multiple windows.
- A context graph linking SLOs to code, change, infrastructure and ITSM.
- Remediation with human-set autonomy.
- Learning from each situation.
Why now
SLOs are standard practice, but most teams still treat them as a report card. Agentic AI makes it practical to act on the burn with enough evidence for engineers to trust the action.
See how SteadyNines runs the loop