Cloud Reliability
Uptime,
engineered.
SLOs, error budgets and incident response from engineers who carry the pager, so reliability is a promise you keep, not a number you hope for.
SLO: API Availability (30d)
99.99%
● ON TRACK
Error Budget
7.2% remaining
0%100%
Burn Rate (past 1h)1.8×
Error Budget Consumption (30d)▲ Incident
May 4May 11May 18May 25Today
Incidents (30d)
3
MTTR
28m
The Problem
Reliability tends to be reactive, defined at 'good enough'. Outages cost trust and revenue every single time.
What We Do
- SLOs & error budgets that define reliability
- Observability across metrics, logs & traces
- Incident response & on-call that actually works
- Reliability engineering baked into delivery
How It Works
- 1Define SLOsSet targets & error budgets
- 2InstrumentCollect signals across the stack
- 3DetectSpot early, reduce noise
- 4Respond & learnResolve incidents & improve
Outcomes
- 99.99% uptime
- Faster incident recovery
- Reliability tied to clear targets
Keep production up, on purpose.
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