Streaming User Events from PostgreSQL (Supabase) to Serverless Kafka

The blog post explores the integration of Supabase and Upstash Kafka to create a backend infrastructure for a social media application, capturing user activities like likes and comments in Postgres tables on Supabase and streaming them to Kafka through Kafka Connectors. Supabase is highlighted as an open-source alternative to Firebase, offering services such as authentication, PostgreSQL database, storage, and edge functions. The post outlines the setup process for Upstash Kafka, including the creation of a Kafka cluster and the configuration of Kafka Connectors using Debezium Source PostgreSQL Connector to stream data from Supabase tables. This streamed data is then used to create a leaderboard in Upstash Redis, where user activities are scored based on their interactions, with a Java application leveraging Kafka Streams to process and update the leaderboard in real-time. The guide provides step-by-step instructions for setting up the database, configuring connectors, and implementing the streaming application, demonstrating a practical use case of integrating these technologies to build scalable data-driven applications.

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