Designing Reliable CDC Pipelines on AWS
A practical architecture for handling full loads, updates, deletes, late-arriving changes, and replay without turning the pipeline into a collection of special cases.
Architecture, reliability, performance, open source, and the practical tradeoffs behind production data platforms.
A practical architecture for handling full loads, updates, deletes, late-arriving changes, and replay without turning the pipeline into a collection of special cases.
How freshness, historical baselines, null rates, duplicates, and distribution checks can catch failures that a simple row-count test will miss.