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How Do Cloud-Native Architectures Ensure Fault Tolerance via Redundancy?

What Makes Decoupled Services with Redundancy Key to Cloud-Native Resilience?

Explore how decoupled services and redundancy in cloud-native designs like Kubernetes provide resilience against single-component failures, enabling automatic failover, high availability, and zero-downtime recovery in distributed systems.

Question

In designing cloud-native architectures, what key characteristic ensures resilience in case of unexpected failure of a single component?

A. Using on-premises servers for better control
B. Decoupled services with redundancy
C. Monolithic design with centralized control
D. Relying on manual intervention for recovery

Answer

B. Decoupled services with redundancy

Explanation

In cloud-native architectures, decoupled services with redundancy form the core characteristic for resilience, as microservices operate independently via APIs, allowing failures in one component—like a database pod crash—to be isolated without impacting others, while redundant replicas across availability zones (e.g., Kubernetes deployments with 3+ pods) automatically handle failover via load balancers and self-healing controllers.