Orchestrating Adaptive Resilience and Continuity Restoration in Cloud-Native Environments

Cloud-native services must tolerate node failures, network partitions, and entire-region outages without violating SLAs. We survey Adaptive Resilience Mechanisms (ARMs) including pod-level checkpointing, self-healing circuits, and dynamic redundancy—and Continuity Restoration Strategies (CRSs) such as geo-replication with automated DNS switchover. Then we present an AI-driven framework that fuses real-time telemetry, anomaly detection via LSTM autoencoders, failure classification, and Infrastructure-as-Code orchestration. A two-region Kubernetes prototype achieves a Restoration Time Objective (RTO) under 3 minutes and a Continuity Point Objective (CPO) under 5 seconds, improving data continuity by 40 % and availability by 10 %.