18 publication(s), engineering notes, and curated picks tagged with #architecture.
A quick reminder that behavior belongs close to data when you want object-oriented design to matter.
Why Angular feels more natural than React from a backend-oriented engineering perspective.
A practical walkthrough of recurring architecture, microservice, caching, and ORM pitfalls in Spring-based enterprise systems.
Why Blue-Green deployment is often technical theater in production—and how backward-compatible schemas, rolling updates, and feature flags provide real safety.
Examining the persistent divide between architectural ideals (Rich Domain Models, DDD, Clean Architecture) and real-world procedural production code.
Bounded Contexts vs. Monolithic Global Database Schemas
Analyzing the divergence between relational database normalization (single shared global tables) and Domain-Driven Design (context-specific models where the same noun represents different entities across Bounded Contexts).
Declarative vs. Imperative Microservices Communication & Orchestrated Systems
A comprehensive synthesis bridging Microservices, Domain-Driven Design (DDD), Declarative vs. Imperative communication, Sync vs. Async patterns, and Agile delivery.
Agent pipelines, architecture boundaries, and timeless craftsmanship
Uncle Bob delivers a masterclass on how AI agents accelerate coding speed while proving that clean code, deep modules, deterministic verification, and fundamental engineering disciplines matter more than ever.
Double-entry accounting engine & strong consistency in the face of CAP theorem
How Uber re-engineered its global payments platform across 10,000+ cities using immutable double-entry ledger bookkeeping to guarantee financial accuracy and zero downtime under massive scale.
Petabyte-scale zero-downtime migration of trillions of financial records
The multi-year architectural journey of migrating petabytes of immutable financial ledger records from Amazon DynamoDB to Uber’s in-house distributed database, Docstore, saving $6M+ annually.
Strongly consistent and eventually consistent petabyte-scale indexing architecture
Deep technical dive into LedgerStore’s indexing engine, supporting over 2 trillion unique index entries with two-phase intent indexing for strong consistency alongside materialized views for fast queries.
A foundational critique of object-oriented design and accidental complexity
Brian Will makes a structured, provocative case against OOP, arguing that combining state and behavior into encapsulation graphs produces rigid webs of mutation, complex patterns, and maintenance overhead.
Cost of Change (CoC) economics, technical debt curve, and core design smells
A dense, high-value visual reference mapping out why clean code keeps the Cost of Change constant over time, alongside definitions for the 8 core architectural smells.
Technical debt bankruptcy in the age of AI coding
An insightful reflection on how coding with AI generates average code quickly, but without continuous refactoring, tech debt accumulates at 10x speed.
Why default JPA repository query methods degrade enterprise database throughput
A deep technical examination of why extending Spring Data’s default findAll() in entity repositories leads to memory bloat, unindexed table scans, and N+1 query storms.
The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Deep-dive into database engine internals, LSM-trees vs B-Trees, partitioning mechanics, distributed replication, consensus protocols (Raft/Paxos), and stream processing primitives.
Enterprise Authorization & Identity Flows
Mastering secure enterprise authorization loops, PKCE flows, JWT verification, scope hierarchies, security architecture validation, and zero-trust API protection.
Advanced System Patterns & Isolation Strategies
Analyzing component isolation strategies, resilience engineering (circuit breakers, bulkheads), event sourcing, CQRS patterns, and systematic scalability trade-offs.
