In distributed systems, the network is unreliable. Whether you use Kafka, RabbitMQ, or Amazon SQS, your system will eventually encounter duplicate messages. This usually happens due to "at-lea…

Maintaining data consistency across multiple microservices is one of the most difficult challenges in distributed systems. When a service updates its local database and needs to notify other servic…

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 topic, you risk crashing every downstream applicat…

Building distributed systems with Apache Kafka often leads to a jarring realization: the data you just wrote to your primary database isn't immediately available in your search index or downstre…