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AI Gateway: From Backend Scheduling to Cost Governance
Using multi-backend model access as the setting, this article explains how an AI Gateway handles resource scheduling, capacity control, failure switching, distributed state, usage accounting, and enterprise cost governance.
16 min read- 1Technical Planning Is Fundamentally Business Analysis and Competitive AnalysisShort · 16 min read
- 2Why Code Decays: From Local Convenience to Systemic DebtShort · 2 min read
- 3How Engineering Standards Reduce Rework Without Creating BureaucracyShort · 2 min read
- 4Shared Core and Local Variation: How Multi-Region Systems EvolveShort · 3 min read
- 5After AI Acceleration: How to Redraw Functional and Business LinesShort · 2 min read
- 6From One Request to a Multi-Node Execution System: How the Architecture EvolvesShort · 19 min read
- 7Where Exactly Is the Cache? Locality in a Multi-Layer Execution ServiceShort · 13 min read
- 8Keeping Differences at the Configuration Layer: Architecture for a Multi-Domain PlatformShort · 12 min read
- 9AI Gateway: From Backend Scheduling to Cost GovernanceShort · 16 min readThis chapter
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