<h2> TL;DR </h2> <p>Kafka Streams enables real-time stream processing inside applications using local state backed by Kafka logs. However, deploying and managing multiple Kafka
<h2> The Inevitable Shift: Schema Evolution in Streaming Pipelines </h2> <p>In the dynamic world of data, change is the only constant. Streaming pipelines, with their continuous
<blockquote> <p><strong>TL;DR</strong> — We swapped Mattrx's inter-service REST calls for Kafka topics (multi-tenant marketing analytics SaaS, .NET 9 / ASP.NET Core, Azure SQL,
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