Hybrid Deployment Strategies for Distributed Databases across X86 and ARM Server Architectures

With the rapid development of ARM technology, its use in server chips is expanding beyond the traditional Intel X86 ecosystem, offering new options for distributed database deployments. This article reviews the need to study distributed databases that can operate on both X86 and ARM platforms, especially for financial applications.

(1) Cross‑cluster hybrid deployment

• Separate‑cluster deployment : Two independent database clusters are deployed on X86 and ARM servers respectively, allowing functional and performance comparisons of the same workload on both architectures.

• Primary‑backup cluster deployment : The primary and standby clusters are placed on different CPU architectures, enabling staged migration—initially running the primary on X86 for stability, then validating ARM as standby before fully switching to ARM.

(2) Intra‑cluster multi‑data‑center hybrid deployment

• Multi‑region deployment : Within a single cluster, management, compute, and data nodes are distributed across regions, with some regions using X86 servers and others using ARM servers, allowing gradual replacement after verification.

• Multi‑availability‑zone deployment : Different availability zones within the same data center host servers of different CPU architectures, providing physical isolation while maintaining network connectivity, and supporting incremental ARM substitution.

(3) Intra‑cluster single‑data‑center hybrid deployment

• Master‑slave architecture : Components are initially mixed (master on X86, slave on ARM), then progressively promoted to ARM after performance validation, ultimately achieving an all‑ARM cluster.

• Stateless component deployment : Stateless, highly fault‑tolerant components such as compute nodes are placed on both architectures; once ARM performance is confirmed, all compute nodes are migrated to ARM.

By combining these three deployment models, the article provides a practical roadmap for financial institutions to achieve robust, cost‑effective, and performance‑balanced distributed database environments across heterogeneous X86/ARM server infrastructures.