TLDR Tech / Data
How Datadog Redefined Data Replication
Datadog reworked a Metrics Summary page that hit 7-second p90 latency because Postgres was being used for expensive search-style joins across 82,000 metrics and 817,000 configurations. The fix was to stop querying Postgres directly and instead stream changes via CDC: Debezium reads WAL, Kafka buffers updates, and a search platform serves low-latency queries. To make async replication safe at scale, Datadog added schema-migration validation plus a backward-compatible Schema Registry with Avro.
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