Multiple Regions, Single Pane of Glass
WarpStream implements a hub-and-spoke model to provide highly available resources across regions. They use a push-based replication strategy with "contexts" for metadata distribution, prioritizing availability over consistency.
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WarpStream addresses the challenge of providing highly available resources in multiple regions while maintaining a unified user experience. The company's architecture involves a hub and spoke model, with a primary hub region hosting critical data and other regions acting as independent spokes. To ensure data consistency without inter-regional dependencies, WarpStream considered various options. Leveraging AWS Aurora's multi-region feature was ruled out due to potential unavailability issues. Instead, they opted for a smart caching strategy to query and cache data from the primary region. However, this approach was deemed insufficient for multi-region data replication. Ultimately, WarpStream chose a push-based replication approach using "contexts" to distribute metadata across regions, prioritizing availability over consistency. This decision allowed them to maintain a single pane of glass for users while ensuring regional independence and resilience.
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3 comments HN Disclaimer:
WarpStream sells a drop-in replacement
for Apache Kafka built directly on-top
of object storage.
TL;DR: "infra" product trades off availability for convenience instead of letting their customers decide
> any unavailability of Aurora in the primary hub region would prevent customers from creating new clusters in all regions, but existing clusters would continue working just fine. We felt like this was an acceptable trade off.
Ok. At least you're upfront about it.
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