Architecture
A practical layer for principles, technology trade-offs, and decision-making frameworks grounded in implementation reality.
How I Think About Architecture
I do not start with tools. I start with the problem, the constraints, and what must be validated with facts.
- 01
Problem
Define the real engineering problem before deciding on technology.
- 02
Constraints
Make business, delivery, data, and operating limits visible.
- 03
Options
Compare realistic approaches instead of arguing from defaults.
- 04
POC
Validate risky assumptions while the feedback loop is still cheap.
- 05
Implementation
Turn the decision into something teams can build and operate.
- 06
Validation
Check correctness, rollout safety, and post-release reality.
Explore Architecture
Use these sections when you need principles, technology trade-offs, or decision-making frameworks tied to real constraints.
Architecture Principles
How distributed systems, data architecture, consistency, reliability, and scale behave in practice — not in whiteboard-perfect conditions.
Technologies in Practice
Kafka, caching, CDC, databases, and reliability tooling — explained through product constraints, operating costs, and implementation trade-offs.
Architecture Decisions
How to choose between options, reduce risk, validate ideas, align teams, and make engineering decisions that survive production reality.