Architecture
Evolving Event Schemas Without Breaking Consumers
How to add fields, rename properties, and restructure events in async systems without coordinating deployments or silently breaking downstream consumers.
·4 min read
Tags
Event-driven
8 articles
Architecture
The Transactional Outbox Pattern: Solving Dual-Write
How the transactional outbox pattern eliminates the dual-write problem and guarantees reliable event publishing without coupling database to broker.
·5 min read
Architecture
Microservices Architecture Patterns That Actually Work
Practical lessons from designing and operating microservices at scale: event-driven communication, service boundaries and the patterns that survived.
·3 min read
Backend
Real-Time Data Pipelines with Apache Kafka and TypeScript
Build real-time data pipelines with Apache Kafka and TypeScript: partitioning strategies, consumer groups, exactly-once semantics and dead letter queues.
·3 min read
Architecture
Event Mesh Architecture for Multi-Cloud Systems
Design event mesh architectures that route events across clouds and regions with dynamic topic routing, protocol bridging and schema governance.
·5 min read
Backend
Implementing Database Change Data Capture Pipelines
Build CDC pipelines that stream database changes downstream in real time: log-based capture with Debezium, event formats, schema evolution, exactly-once.
·5 min read
Tutorials
Building an Event-Driven Microservice with Node.js
A step-by-step tutorial for an event-driven microservice with Node.js, RabbitMQ and TypeScript: publishing, consumption, DLQs and idempotent processing.
·5 min read
Architecture
Event-Driven Architecture: Patterns and Pitfalls
Event-driven systems decouple producers from consumers through async messaging — but eventual consistency, ordering and idempotency add real complexity.
·3 min read