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by Amitava,
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by Amitava,
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In Part 2, we dive deep into the Sync-Out pipeline—how Rails publishes events to Kafka, how our legacy adapter writes to SQL Server 2009 using TinyTDS, and how Dead-Letter Queues (DLQs) became our lifeline during production incidents. This post covers transaction management, service objects, and operational workflows for handling failures.
Read moreThis post breaks down our production architecture for event streaming in Rails using Kafka and Karafka—from designing producers and consumer flows to handling failures with DLQs and keeping warehouse databases in sync reliably.
Read moreCodemancers can bring your vision to life and help you achieve your goals