Optimizing Regional Disaster Recovery in OpenShift: A Multi-Cluster Approach with RHACM and ODF

In the current digital environment, it is crucial for businesses to implement robust disaster recovery (DR) strategies to counteract risks posed by cyber threats, hardware malfunctions, and natural calamities. This paper examines an improved Regional Disaster Recovery (Regional-DR) strategy within OpenShift, which incorporates Red Hat Advanced Cluster Management (RHACM) and OpenShift Data Foundation (ODF) to enable smooth application failover and data replication. The practical application of Regional-DR showcases how applications and storage can be synchronized across several geographically dispersed clusters. The solution achieved a Recovery Time Objective (RTO) of 5 minutes and a Recovery Point Objective (RPO) of 3 minutes, ensuring minimal downtime and data loss. Furthermore, best practices for maintaining business continuity and enhancing system resilience using OpenShift’s built-in DR features are analysed. The findings demonstrate how enterprises can utilize OpenShift’s multi-cluster disaster recovery capabilities for effective failover management and improved performance.

Authors

Publication Details

Journal
International Journal of Computational Mathematical Ideas
Published
2025-01-01
DOI
https://doi.org/10.70153/ijcmi/2025.17101
Citations
1
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
1.49
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article

Optimizing Regional Disaster Recovery in OpenShift: A Multi-Cluster Approach with RHACM and ODF

Naga Venkata Chaitanya Akula
1 citations
International Journal of Computational Mathematical Ideas
Distributed and Parallel Computing Systems
1.49
article

Optimizing Regional Disaster Recovery in OpenShift: A Multi-Cluster Approach with RHACM and ODF

Naga Venkata Chaitanya Akula
article en
1 citations

Abstract

In the current digital environment, it is crucial for businesses to implement robust disaster recovery (DR) strategies to counteract risks posed by cyber threats, hardware malfunctions, and natural calamities. This paper examines an improved Regional Disaster Recovery (Regional-DR) strategy within OpenShift, which incorporates Red Hat Advanced Cluster Management (RHACM) and OpenShift Data Foundation (ODF) to enable smooth application failover and data replication. The practical application of Regional-DR showcases how applications and storage can be synchronized across several geographically dispersed clusters. The solution achieved a Recovery Time Objective (RTO) of 5 minutes and a Recovery Point Objective (RPO) of 3 minutes, ensuring minimal downtime and data loss. Furthermore, best practices for maintaining business continuity and enhancing system resilience using OpenShift’s built-in DR features are analysed. The findings demonstrate how enterprises can utilize OpenShift’s multi-cluster disaster recovery capabilities for effective failover management and improved performance.

International Journal of Computational Mathematical IdeasVol. 17(01)
Openalex Percentile: Top 18%
Distributed and Parallel Computing Systems
1.49
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