Which component ensures no single point of failure in cloud services?

The concept of redundancy is vital for ensuring that there is no single point of failure in cloud services. Redundancy involves the duplication of critical components or functions of a system with the intention of increasing reliability and availability. By having multiple instances of hardware, software, or network resources, a cloud service can continue to operate seamlessly even if one component fails. For instance, if a server goes offline, a redundant server can take over, preventing service interruptions and maintaining functionality for users.

High availability, while related to maintaining operational uptime, focuses on ensuring that systems are continuously operational, often through redundancy and failover strategies. However, redundancy specifically refers to the components that eliminate single points of failure directly.

Backup solutions are primarily concerned with data recovery in case of loss or corruption, serving a different purpose in the context of service reliability. Service mesh, on the other hand, is a design pattern used to manage service-to-service communications within microservices architectures, which does not directly address redundancy at the component level. Therefore, redundancy is the most accurate answer when it comes to ensuring no single point of failure in cloud services.