Data Backup System with No Impact on Business Processing Utilizing Storage and Container Technologies

TL;DR

This paper presents a backup system that leverages storage and container technologies to ensure data consistency and eliminate system slowdown and downtime during backups in enterprise environments.

Contribution

It introduces an integrated backup system using consistency groups and container operators to automate configuration and prevent data collapse in enterprise systems.

Findings

System can perform backups without impacting business processing.

Automation reduces manual configuration errors.

System ensures data consistency across storage and applications.

Abstract

Data backup is a core technology for improving system resilience to system failures. Data backup in enterprise systems is required to minimize the impacts on business processing, which can be categorized into two factors: system slowdown and downtime. To eliminate system slowdown, asynchronous data copy (ADC) technology is prevalent, which copies data asynchronously with original data updates. However, the ADC can collapse backup data when applied to enterprise systems with multiple resources. Then, the demonstration system employed consistency group technology, which makes the order of data updates the same between the original and backup data. In addition, we developed a container platform operator to unravel the complicated correspondence between storage volumes and applications. The operator automates the configuration of the ADC with the setting of consistency groups. We integrated the storage and container technologies into the demonstration system, which can eliminate both system slowdown and downtime.