Strategies for Ensuring Fault Tolerance of Mission-Critical Business Applications in a Cloud EnvironmentUnni Siva Sankar Citation: Unni Siva Sankar, "Strategies for Ensuring Fault Tolerance of Mission-Critical Business Applications in a Cloud Environment", Universal Library of Engineering Technology, Volume 03, Issue 02. Copyright: This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. AbstractThe article examines engineering strategies that maintain the continuity of mission-critical business applications deployed in cloud environments, including infrastructure, software, and dependency failures. Relevance is driven by the growing share of regulated workloads and the parallel trend of legacy-to-cloud modernization, where reliability targets must be preserved during decomposition and migration. Novelty is linked to an integrated view that ties architectural fault containment, operational reliability governance, and modernization sequencing into a single decision framework applicable to retail and banking transaction workloads. The work sets the objective of formulating an actionable set of design and operational measures for fault tolerance across compute, network, storage, and data layers, including cross-zone and cross-region scenarios. The analysis relies on the synthesis of recent scholarly and standards-based publications, as well as cloud well-architected guidance. The concluding section formulates practical recommendations for target definition (SLO/SLA, RTO/RPO), resilient workload patterns, dependency hardening, and modernization controls that reduce outage blast radius. The material is helpful for cloud architects, modernization engineers, and production-support teams. Keywords: Fault Tolerance, Mission-Critical Applications, Cloud Reliability, High Availability, Disaster Recovery, Multi-Region Architecture, Microservices Resilience, Legacy Modernization, Observability, SLO. Download |
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