Company
Date Published
Author
Nikunj Badjatya
Word count
528
Language
English
Hacker News points
None

Summary

In an airgapped AWS environment, data synchronization from Google BigQuery to ClickHouse is achieved through a proxy-based networking solution that circumvents strict outbound policies. This setup involves deploying ClickHouse in a Kubernetes cluster using Helm charts, with a corporate proxy server facilitating controlled external communication. Data is initially exported from BigQuery to a Google Cloud Storage (GCS) bucket, from where ClickHouse retrieves it using its GCS function. The proxy server routes ClickHouse's outbound requests, enabling secure data ingestion and analytics within ClickHouse. This configuration, implemented via a ConfigMap-based proxy setup, ensures scalability, flexibility, and security, allowing cross-cloud data workflows despite network isolation constraints. The approach demonstrates how ClickHouse's configuration system and Kubernetes can be utilized to maintain secure and efficient data operations between isolated cloud infrastructures.