ACID vs BASE: Foundations of Modern Data ConsistencyHow ACID and BASE Shape Reliability, Scalability, and Flexibility in Distributed Systems
Explore the key differences between ACID and BASE models, and discover how these paradigms influence data integrity, consistency, and scalability in distributed architectures.
Aligning Data Topologies with Distributed ArchitecturesStrategies for Seamless Data-Architecture Integration
Discover actionable strategies to align your data topology with distributed architectures—ensuring consistency, scalability, and performance without compromising flexibility or developer velocity.
Analyzing Data Payload Tradeoffs and Anemic EventsMaking Informed Choices for Event Design
Understand the critical tradeoffs in data payload design for event-driven systems. Learn how to balance payload richness with performance, and avoid the anemic event anti-pattern that quietly destroys scalability and domain clarity.
Architectural Quantum: The Building Blocks of Distributed SystemsWhy Quantum Matters in Modern Architecture
Discover what architectural quantum means in distributed systems. Learn how to identify, design, and leverage quantum boundaries for building resilient, independently deployable services with real examples.
Avoiding the Grains of Sand Anti-Pattern in MicroservicesWhy Too Many Tiny Services Can Hurt Your Architecture
Uncover the pitfalls of the grains of sand anti-pattern and discover strategies for designing service boundaries that foster maintainability and scalability.
Beyond Excel: How Custom Spreadsheet Systems Leverage CS FundamentalsA Look at the Algorithms, Patterns, and Practices Behind Next-Gen Spreadsheets
Go beyond traditional spreadsheets and see how custom-built systems use computer science fundamentals to provide extensibility, reliability, and lightning-fast performance.
Durability vs Availability in Software Engineering: Striking the Balance Between Data Integrity and System ReliabilityUnderstanding the CAP Theorem, Trade-offs, and Practical Approaches to Build Resilient Systems
Discover the essential trade-offs between durability and availability in software engineering. Learn how the CAP Theorem shapes system design, explore real-world examples, and strategies to balance data integrity with uninterrupted access.
Granularity Gone Wrong: Disintegration vs. Integration Anti-Patterns in Distributed SystemsSpotting and Avoiding the Most Costly Service Decomposition Mistakes
Explore real-world anti-patterns of granularity in distributed systems—disintegration and over-integration. Learn how to recognize, avoid, and remediate these architectural pitfalls with actionable strategies and illustrated examples.
Observability-Driven Refactoring: Data-Informed Granularity ChoicesLetting Runtime Insights Shape Your Service Decomposition
See how observability-driven refactoring uses real-world runtime data to guide service decomposition and integration, leading to more effective and healthy granularity in distributed systems.