Democratizing Data at Go-JEK
summary
Describes how Go-JEK scaled its data engineering platform to handle over 40 million messages per day, covering data consumption, aggregation, monitoring, and cold storage. Explains an internal self-service portal built on Kubernetes that lets product teams provision data infrastructure without data-engineering intervention.
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