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Building a new ML feature traditionally means stitching together Spark, BigQuery, Flink, Redis, Kubernetes, and Airflow, repeated for every new signal.

22/10/26, 6:01 pm0 reposts0 likes

QCon

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Nikhil Simha, Co-Founder & CTO at zipline.ai, explains how that growing burden contributed to data science and ML engineering becoming separate, large teams. Chronon was built to move that repeated infrastructure behind a common system.

QCon

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More sessions like this are lined up for QCon London 2027, April 13-16. Find out more about QCon London 2027 here: buff.ly/HCI71zB #QConLondon #FeatureStore #MLInfrastructure

buff.lyQCon London 2027 | Software Conference for Senior DevelopersGain actionable insights from leading software developers on emerging trends and practices at QCon London 2027, April 13-15.