Stability & Uptime
Restoring Reliability During Hyper Growth
Frequent outages during growth spikes damaging trust & revenue.
Incidents ↓
78%
Uptime
99.95%
Context
A SaaS platform experiencing ARR acceleration hit architectural bottlenecks leading to cascading failures during traffic surges.
Approach
- Baseline MTTR / MTTD and incident taxonomy
- Deploy structured observability: logs, metrics, traces with SLO dashboards
- Capacity & load modeling against projected growth scenarios
- Risk-based prioritization of refactors vs tactical patches
Implementation
- Introduced structured on-call playbooks + rotation enablement
- Refactored hot path services to async / queue-driven patterns
- Instituted progressive rollouts & health gates
- Automated infra scaling policies and budget guardrails
Results
- Stability restored inside 3 weeks with declining incident slope
- Executive confidence regained; paused churn narrative
- Reduced firefighting freeing 30% engineer capacity for roadmap
- Foundation for SOC2 / governance acceleration
Lessons
- Instrument early to argue with data not opinions
- Codify incident taxonomy before scaling teams
- Refactor by economic impact not technical purity