KubeCon + CloudNativeCon China 2025

Search, advertising, and recommendation services are among the primary business types within Xiaohongshu. Due to the strong dependency of these services on index table, each instance replica needs to maintain its own independent state. As a result, such services are deployed using the stateful workload.
With the rapid growth of Xiaohongshu's business scale, the size limit of a single Kubernetes cluster has made it impossible to further scale stateful services. To address daily traffic and business growth, the only solution was to migrate workloads to idle clusters. However, this migration approach has caused significant inconvenience and risks for developer.
To tackle this challenge, Xiaohongshu leveraged Karmada to implement the federation of stateful services. By designing scheduling and deployment capabilities for stateful services on federated clusters, This approach has seamlessly resolved the scaling limitations caused by single-cluster capacity constraints for stateful services.