Principles of Scalable System Design
How to think about capacity, fault tolerance, and evolution when designing backends that survive real traffic and real failures.
Notes on system design, backend architecture, and building software that lasts.
How to think about capacity, fault tolerance, and evolution when designing backends that survive real traffic and real failures.
Patterns for global handlers, problem details, and predictable error contracts without leaking implementation details.
Why retries are inevitable at scale and how to model transactions so duplicate requests never double-charge a customer.
A practical approach to state machines, delivery guarantees, and reconciliation when external systems drive your core flow.
Where to draw lines between domain, application, and infrastructure so teams can evolve services without constant rewrites.
Scheduling, observability, and failure handling patterns that keep async work dependable when the business depends on it.