Self-Healing System Design: Architectural Patterns for Autonomous Recovery in Cloud-Native Applications
Bibliographic description of the article for the citation:
Roilian Mykyta, Mozolevskyi Dmytro and Terletska Khrystyna. Self-Healing System Design: Architectural Patterns for Autonomous Recovery in Cloud-Native Applications//Science online: International Scientific e-zine - 2023. - №9. - https://nauka-online.com/en/publications/information-technology/2023/9/05-27/
Annotation: This article analyzes architectural patterns that enable autonomous recovery in cloud-native systems, which are essential for maintaining high availability and performance. Three primary patterns are examined: Redundancy & Replication, Proactive Recovery, and Auto-Scaling. The study evaluates their effectiveness using real-world data, providing a comparative assessment based on metrics like cost reduction and performance improvement. The analysis underscores the necessity of these patterns for managing the operational complexity of modern distributed systems. Recommendations are provided for implementing these strategies to enhance the reliability and cost-efficiency of cloud applications.