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A detailed account of migrating 1 billion database records without downtime using a phased approach: bulk migration of old data in chunks, dual writes for live traffic with Kafka retry queues, shadow reads for testing, careful cutover with cache warming, and comprehensive monitoring. The migration involved critical financial data and required techniques like disabling indexes during bulk loads, idempotent operations, and extensive observability to ensure data consistency and system reliability.

How We Migrated 1 Billion Records from DB1 to DB2 Without Downtime

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Nice, very interesting to read! When developing in a fast-paced environment, how did you calculate the checksum of the data? Since new entries are being added, both stores need to be in sync to produce the same hash.&quot;

The article is pointless, it never states the reason to migrate “it was slow so we migrated” yes but how will it be fast after migration? or are you just moving data around for no reason?

Very nice article! And very helpful one.
Our team also doing migration with a smaller data size but the performance is not excellent like what shared.
I wonders how did you guys capture data change?
Did you use debezium?