Databases 10 min read

Hybrid Deployment Strategies for Distributed Databases on X86 and ARM Servers

This article examines hybrid deployment schemes for distributed databases across X86 and ARM server architectures, detailing cross‑cluster, multi‑data‑center, and single‑data‑center approaches, and discusses their applicability to financial industry workloads, performance testing, and gradual migration strategies.

Architects' Tech Alliance
Architects' Tech Alliance
Architects' Tech Alliance
Hybrid Deployment Strategies for Distributed Databases on X86 and ARM Servers

In recent years, with the rapid development of ARM technology, its use in server‑chip domains has gradually expanded, offering a new alternative to the Intel X86 technical standards and product supply chain.

The current focus is on distributed databases that can run on both X86 and ARM servers, enabling mixed‑deployment architectures that ensure business continuity and stability while studying the technical differences between the two platforms to achieve seamless migration, especially for financial‑industry applications.

This article references the "Cross‑CPU Architecture Hybrid Deployment Scheme for Distributed Databases (2022)" and introduces several hybrid deployment solutions for X86 and ARM servers.

(1) Cross‑Cluster Hybrid Deployment

1. Independent‑Cluster Hybrid Deployment

This scheme deploys two unrelated database clusters separately on X86‑based and ARM‑based hardware servers. It is suitable for testing functional and performance differences between the two architectures under the same business scenario.

2. Primary‑Backup Cluster Hybrid Deployment

In this approach, the primary‑backup architecture is used, with the primary cluster deployed on X86 servers and the backup cluster on ARM servers (or vice‑versa). This allows flexible switching, reduces hardware costs, and validates ARM server reliability before full replacement.

During the early stage of system rollout, the primary cluster can be built on X86 servers while the backup runs on ARM servers. After confirming ARM suitability, the roles are swapped, ultimately achieving a full ARM‑based database cluster.

(2) In‑Cluster Multi‑Data‑Center Hybrid Deployment

Data centers are described by Regions and Availability Zones. A multi‑region hybrid deployment places different components (management nodes, compute nodes, data nodes) of the same cluster on X86 and ARM servers across different regions.

Similarly, a multi‑availability‑zone hybrid deployment places cluster components on X86 and ARM servers within different zones of the same data center, enabling gradual replacement of X86 servers with ARM servers while maintaining fault isolation.

(3) In‑Cluster Single‑Data‑Center Hybrid Deployment

1. Master‑Slave Architecture Hybrid Deployment

The master‑slave components are distributed across X86 and ARM servers. The migration proceeds in three stages: initially, the master runs on X86 and the slave on ARM; after validation, the ARM node becomes the master; finally, both master and slave run on ARM.

2. Stateless Component Hybrid Deployment

Stateless, highly fault‑tolerant components such as compute nodes are deployed on both X86 and ARM servers. After confirming ARM functionality and performance, all compute nodes are migrated to ARM.

By combining cross‑cluster, multi‑data‑center, and single‑data‑center hybrid deployment schemes, the article provides practical, reproducible solutions that meet the diverse server‑deployment needs of the financial industry and help build a robust, high‑performance core‑technology supply chain.

Source: Beijing Financial Technology Industry Alliance.

x86ARMDistributed DatabasesFinancial Industryhybrid deployment
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