How to Design Idempotent Consumers in Event-Driven Systems
In distributed systems, the network is unreliable. Whether you use Kafka, RabbitMQ, or Amazon SQS, your system will eventually encounter duplicate …
Transactional Outbox Pattern for Microservices Consistency
Maintaining data consistency across multiple microservices is one of the most difficult challenges in distributed systems. When a service updates i…
How to Handle Schema Evolution in Avro and Confluent Registry
Updating data structures in a live production environment is one of the most dangerous tasks in data engineering. When you change a field in a Kafka …
Strategies for Eventual Consistency in Apache Kafka
Building distributed systems with Apache Kafka often leads to a jarring realization: the data you just wrote to your primary database isn't imme…