When building microservices with Apache Kafka, using the log for event storage can create a single source of truth that spans many independent services. However, adding stream processing turns this service estate into a kind of distributed database, an unbundled database with interesting consequences for shared datasets. This article covers the coupling issues of traditional databases in a microservices context and the benefits of an unbundled approach. It also provides resources on getting started with Confluent, a solution for streaming data pipelines and real-time data warehousing. Read time: 13 min
