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  • Billion User Trap - The Pagination Mistake That Can Take Down Your Database

    Jun 29, 2026 architecture distributed-systems database-optimization

    Background In Part 1, we established that access patterns & not entities should drive your design. In Part 2, we fixed the database by replacing brittle three-table JOINs with a covering index, reducing P99 on the listing query. The schema was right. The index was right. The listing API itself was fast. And then it …

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  • Billion User Trap - The Database Design That Looked Perfect on Day One

    Jun 16, 2026 architecture distributed-systems database-optimization

    Background In the first part we established the foundational principle that separates systems which survive scale from systems that collapse under it - design for access patterns, not for entities. In this second part we double click on the database design of the User Profile system and try to understand its impact …

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  • Three Fintech Architecture Post-Mortems - What AI-Augmented Review Would Have Caught

    Jun 11, 2026 architecture distributed-systems ai-augmented-se

    Background Architecture decisions rarely break at design time. They break a year later, under double the load, when an unwritten assumption proves false. I’ve seen this play out in synchronous coupling, storage models, and service splits - while architecting and designing FinTech platforms. That’s why I now run every …

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  • The Billion-User Trap

    Jun 6, 2026 architecture system-design

    Background This multi part series walks through the real architectural decisions and real mistakes behind designing a globally distributed KYC User Profile system - a system that should be capable of serving billions of users at 10M+ RPD with sub-500 ms P99 latency. It's mainly about weighing trade-offs and making …

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Dhaval Shah

Consulting Architect specializing in high-scale systems, Performance Tuning, Resiliency, Cost Optimization and Technical Strategy
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Recent Posts

  • Same JSON Storage Problem, Different Database - What Postgres Does Differently
  • Billion User Trap - The Pagination Mistake That Can Take Down Your Database
  • The GC Summary Report Wasn't Wrong - It Just Wasn't Complete
  • Billion User Trap - The Database Design That Looked Perfect on Day One
  • Three Fintech Architecture Post-Mortems - What AI-Augmented Review Would Have Caught
  • The Billion-User Trap
  • Observable - Cross-Cloud Data Highways
  • Resilient & Fault Tolerant - Cross-Cloud Data Highways

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PERFORMANCE 14 SPRING-BOOT 11 MICROSERVICE 7 TUNING 7 CLOUD-NATIVE 6 AZURE 5 DATA-ENGINEERING 5 ARCHITECTURE 4 AWS 4 DISTRIBUTED-SYSTEMS 4 TDD 4 AI-AUGMENTED-SE 3 JVM 3 SPRING 3
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