Systems logic
Architecture Principles
How distributed systems, data architecture, consistency, reliability, and scale behave in practice — not in whiteboard-perfect conditions.
Distributed Systems
Consistency, replication, and coordination trade-offs in real product systems.
- CAP Theorem in Practice
- Consistency Models in Real Systems
- Replication Types and Trade-offs
Data Architecture
Design storage and analytical paths around workload shape and business semantics.
- OLTP vs OLAP
- Denormalization Trade-offs
- CDC Fundamentals Through Real Examples
Reliability & Scale
Build systems that survive retries, backlog, partial failure, and late data.
- Idempotency
- Retries / DLQ / Parking
- Eventual Consistency
- Failure Modes at Scale