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
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