Author: Ilia Ivankin

A client approached us with a three-month timeline for launching an MVP to be tested by real users. Our task was to develop a relatively straightforward backend for a mobile application. From the outset, the client provided detailed requirements, specifications, and integration modules. The primary goal was to collect data from the mobile application, review it, and send it to the specified integrations. Essentially, our role was to be a validating proxy service that recorded events.

What’s the usual challenge we face? It’s either cranking out a quick microservice or a combo of services that’ll catch requests from the app. Most of the time, our clients are rocking top-notch gear and flagship devices.

Reason

In modern distributed systems, efficient real-time data discovery and integration are common tasks. We often encounter approaches involving multiple queues or services that collect data into a database, followed by various search queries. But what if I told you that storing data in a database is unnecessary when you can read data directly from Kafka, like a table?

Apache Kafka is a powerful event streaming platform offering robust data discovery and real-time data integration capabilities. This makes it a versatile solution for building scalable event-driven architectures.