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.
Learn to build a distributed rate limiter using Go and Redis, with gRPC, observability, and fault tolerance — a portfolio project that stands out.
Distributed tracing is essential for debugging microservices. This post outlines eight practical patterns for implementing tracing with OpenTelemetry and GCP Cloud Trace in production.
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.
A practical guide to embedding user safety into the architecture of modern software systems, with concrete patterns, anti-failure strategies, and real-world examples.