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Where Exactly Is the Cache? Locality in a Multi-Layer Execution Service

Using a multi-layer execution service as an example, this article breaks down the multiple levels of locality across request identity, edge routing, execution resources, and backend caches, then presents reusable approaches to routing, invalidation, failover, and observability.

LiyukLiyukPublished August 28, 2026Updated September 4, 202613 min read
  • #Performance
  • #Systems Design
  • #Algorithms
  • #Reliability
  • #Observability
  • #Routing
  • #Technology
  1. 1Technical Planning Is Fundamentally Business Analysis and Competitive AnalysisShort · 16 min read
  2. 2Why Code Decays: From Local Convenience to Systemic DebtShort · 2 min read
  3. 3How Engineering Standards Reduce Rework Without Creating BureaucracyShort · 2 min read
  4. 4Shared Core and Local Variation: How Multi-Region Systems EvolveShort · 3 min read
  5. 5After AI Acceleration: How to Redraw Functional and Business LinesShort · 2 min read
  6. 6From One Request to a Multi-Node Execution System: How the Architecture EvolvesShort · 19 min read
  7. 7Where Exactly Is the Cache? Locality in a Multi-Layer Execution ServiceShort · 13 min readThis chapter
  8. 8Keeping Differences at the Configuration Layer: Architecture for a Multi-Domain PlatformShort · 12 min read
  9. 9AI Gateway: From Backend Scheduling to Cost GovernanceShort · 16 min read
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← PreviousKeeping Differences at the Configuration Layer: Architecture for a Multi-Domain Platform
Next →From One Request to a Multi-Node Execution System: How the Architecture Evolves
View the column “Technical Systems”← Previous: From One Request to a Multi-Node Execution System: How the Architecture EvolvesNext: Keeping Differences at the Configuration Layer: Architecture for a Multi-Domain Platform →

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