A practical guide to designing distributed systems that protect users from data loss, privacy leaks, and service disruption through proven architecture patterns and production guardrails.
A deep dive into backpressure and flow control patterns in distributed systems, covering real failure modes, production implementations with Kafka and reactive streams, and the architectural decisions that keep pipelines alive under load.
Exploring how engineering teams can systematically brainstorm and validate architectural patterns to build scalable, resilient distributed systems.
Learn how to build a portfolio/CV side project from scratch that signals genuine systems engineering expertise to hiring managers.
User safety is not a feature—it’s a foundation. This post explores concrete patterns for authentication, authorization, and abuse prevention that engineering teams can implement today.