It Should Just Work®

It Should Just Work®

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The Intelligent Data Plane
Web Performance Optimization
Distributed Computing
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Chapter 1 – The Data Locality Spectrum
How the Distance Between Your Code and Your Data Defines Everything
 • Jaxon Repp
Chapter 2 – The Physics of Distance
Why Perfect Software Still Can't Beat Geography
 • Jaxon Repp
Chapter 3 – Locality and the Edge
When Data Travels With Your Application
 • Jaxon Repp
Chapter 4 – The Global Cluster Paradigm
When Distance Becomes a Feature, Not a Bug
 • Jaxon Repp
Chapter 5 – Write Amplification and the Cost of Locality
Why Perfect Replication Collapses Under Its Own Weight
 • Jaxon Repp
Chapter 6 – Sharding, Partitioning, and Data Residency
How to Split Data Without Breaking Your Application
 • Jaxon Repp
Chapter 7 – Consistency, Availability, and Latency in Practice
Translating Theory Into Milliseconds and Dollars
 • Jaxon Repp
Chapter 8 – Security and Compliance Across Regions
When Data Locality Becomes a Legal Requirement
 • Jaxon Repp
Chapter 9 – The Emergence of Adaptive Storage
From Static Tiers to Dynamic Placement
 • Jaxon Repp
Chapter 10 – Data Gravity and Motion
The Dynamic Relationship Between Compute and Storage
 • Jaxon Repp
Chapter 11 – Vector Sharding: Predictive Data Movement
Beyond Reactive Optimization to Proactive Orchestration
 • Jaxon Repp
Chapter 12 – Orchestration: The Self-Managing Data Layer
Building the Intelligent Data Plane
 • Jaxon Repp
© 2026 Jaxon Repp · Privacy ∙ Terms ∙ Collection notice
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