Deploy where your data lives: Why Chalk runs in your cloud

Chalk is designed to address the needs of enterprises building systems such as fraud detection, recommendation engines, or search functionalities by running entirely within a customer's cloud infrastructure, specifically inside their VPC and on Kubernetes, to ensure data security, predictable latency, and internal control. By deploying in the customer's account, Chalk offers a strategic advantage by maintaining data in-account, thus enabling compliance, auditing, and governance to be managed internally. The platform is built to deliver low latency for real-time decisions by co-locating feature computation with applications, which reduces cross-cloud data transfer and ensures consistency across online and offline pipelines. Additionally, Chalk's integration with Kubernetes allows for uniform deployments and controlled upgrades, providing scalability and operational efficiency without egress overheads. Andrew Moreland, co-founder of Chalk, emphasizes these strategic differentiators on the Adventures in DevOps podcast, highlighting how Chalk ensures fast and accurate machine learning feature computation by leveraging temporal data awareness and seamless management of IAM.

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