Introduction: Although the deployment of cross-regional services enhances availability, it can also multiply the failure cascades and recovery uncertainties. Methodology: We will introduce CRASH, a self-healing and disaster recovery solution that is a three-part system incorporating (i) multi-signal anomaly detection and impact scoring on dependencies, (ii) policy-guarded remediation as a Markovian decision problem, and (iii) adaptive failover, replication-lag estimation and confidence-sensitive decision thresholds. Findings: In a geo-distributed microservice testbed with injected region, network, and storage failures, CRASH minimises MTTR by 34-60 percent and RPO by 38-75 percent compared to Kubernetes-native and chaos-oriented baselines, whilst enhancing availability and reducing performance overhead. Statistically significant improvements in MTTR (p<0.001) were shown by two-sided t-welch tests, with all 95 percent confidence intervals favouring crash. Final Remarks: It offers an engineering recipe of recoverability in the context of reliable cross-region recovery through the combination of the observability, safe automation and the use of data-driven decision-making.

Xiao Ma. Engineering Study of Disaster Recovery and Fault Self-Healing Mechanisms for Distributed Systems under Cross-Regional Deployment Conditions. International Journal of Engineering Technology and Construction (2026), Vol. 7, Issue 1: 1-7. https://doi.org/10.38007/IJETC.2026.070101.

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