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From Conventional Multi-Vendor Failover to Adaptive API R...
[Submitted on 26 May 2026 (v1), last revised 30 Aug 2026 (this v · 2026-05-26 · via cs updates on arXiv.org

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Abstract:High-scale online services often rely on third-party APIs in user-facing flows such as authentication, messaging, payments, fraud detection, and identity verification. Integrating alternate providers and operating conventional failover controls is a common resilience baseline, but redundancy alone does not make provider selection adaptive, explainable, or policy-aware. This paper reports an anonymized industrial experience evolving a conventional multi-vendor SMS-provider failover arrangement in a large marketplace setting into configuration-driven adaptive API routing. The report emphasizes practical motivation, industrial context, design rationale, rollout path, operational challenges, lessons learned, and transferability conditions. The approach uses operation-specific pluggable factor lists to separate routing policy from application code, combines hard eligibility gates with weighted provider scoring, and closes the loop with business-outcome telemetry, decision logs, traffic-shift controls, and recovery safeguards. We explain why conventional mechanisms such as timeouts, retries, circuit breakers, static priority lists, dashboards, alerts, and incident runbooks remain necessary but insufficient for partial, regional, quota-related, or business-outcome degradation. A supporting synthetic replay evaluation examines complete outage, latency spike, regional failure, quota exhaustion, partial degradation, and stale telemetry scenarios without disclosing production data. The experience suggests that adaptive provider routing can reduce dependence on incident-time interpretation when the operation is critical, telemetry volume is sufficient, and organizational controls exist for policy ownership, explainability, and safe traffic movement. The paper concludes with practitioner guidance and cautions for teams considering similar architectures.

Submission history

From: Nataraj Agaram Sundar [view email]
[v1] Tue, 26 May 2026 00:26:49 UTC (21 KB)
[v2] Sun, 30 Aug 2026 01:22:32 UTC (82 KB)