User Safety in Production Systems: Safe-by-Design Patterns for Engineers
How to build systems that protect users without sacrificing velocity, using proven architecture patterns and concrete tooling.
Kafka
Backpressure and Flow Control in Distributed Systems: Why Your Pipeline Is One Spike Away from Meltdown
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.
User Safety in Production Systems: Designing for Trust and Resilience
A practical guide to embedding user safety into the architecture of modern software systems, with concrete patterns, anti-failure strategies, and real-world examples.
The Overlooked ETL Topic: Handling Late Arriving Data in Event-Driven Pipelines
Late data is inevitable in event-driven systems. This post shows practical patterns—watermarks, allowed lateness, and log-based reprocessing—to keep your ETL pipelines accurate and reliable.
Implementing Debezium CDC Pipelines: Exactly-Once State, Schema Evolution, and Backfills
Learn how to implement Debezium-based change data capture pipelines that guarantee exactly-once state, handle schema evolution gracefully, and execute reliable backfills at scale.