Learn how to tackle data challenges in microservices! Discover practical solutions like data replication, materialized views, and more to replace JOINs and balance performance, consistency, and scalability in your architecture.

Marcos Lobo

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Managing data in a microservices architecture can be challenging, especially replicating the efficiency of JOINs in a relational database. Moving to microservices often involves turning simple JOIN operations into latency-heavy HTTP calls. Solutions include data replication, materialized views, event-driven replication, and batch data sync, each with its own pros and cons. Selecting the right approach depends on understanding specific performance, consistency, and scalability needs.

Nobody told me I would miss my JOINs when I started in microservices.

<p>Transactions are also a big problem when using microservices in combination with the database-per-service pattern! Solving this will add huge complexity to the application. So keep in mind :)</p>


<p>I would have told you if you had asked</p>
