Phase 1 — Web services evaluation
Nine APIs evaluated under sustained load (~8 hours) with virtual users at target scale.
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Performance under peak load
Quality Assurance CoE
Sub-4.3s average response at 8,000+ virtual users after remediation
Business problem
A voting platform needed to support thousands of simultaneous users during a fixed election window. Earlier benchmarking covered roughly 3,000 users; the target load was significantly higher with strict page-level SLAs.
Engagement context
- Target: 5,000–8,000 simultaneous users
- Business SLA: 5 seconds per page in the voting flow
- Initial average response under load: 12 seconds
- Initial error rate: 16% under sustained peak
Solution implemented
Phase 2 — UI flow evaluation
End-to-end vote-casting flow tested under 8,000 virtual users (~3 hours).
Remediation and re-run
Infrastructure thresholds, certificate generation, and scaling policies adjusted based on evidence from the first run.
Outcomes
- Error rate reduced to below 1.54%
- Average response time brought below 4.3 seconds
- 98+ hits per second sustained in validation runs
- 97,832 votes cast successfully in the evaluation window
Evidence-led performance engineering aligned technical fixes with a public-facing SLA — not guesswork under pressure.