Sarcouncil Journal of Engineering and Computer Sciences

Abstract: The challenge of ensuring high resilience in systems is growing for enterprises that have adopted cloud-native platforms to automate their processes. This detailed article delves into architectural frameworks and tactical approaches vital for crafting durable automation systems within cloud environments. It opens with an examination of distinctive failure scenarios common to distributed cloud infrastructures and investigates how properly bounded microservices enhance failure containment. Further sections explore the self-healing potential of container orchestration systems such as Kubernetes, alongside the supplementary resilience advantages offered through service mesh technologies with sophisticated traffic handling capabilities. Particular attention falls on declarative infrastructure-as-code methodologies for ensuring environmental consistency, paired with chaos engineering practices for preemptive weakness identification. The application of resilience mechanisms, such as circuit breaker patterns and resource isolation strategies, can result in practical implementation guidance because of a broad approach to strategy deployment. The latter parts cover some of the latest advancements in resilience engineering, including cross-cloud architectural design as well as machine learning-based anomaly detection systems, and they offer future-oriented ideas on how to keep services reliable in the face of the complexities at play in modern cloud systems.