What is redundancy in computing?
An example of an AI chatbot conversation about redundancy in computing.
What is redundancy in computing?
Redundancy in computing refers to the inclusion of extra components that are not strictly necessary for functionality, which helps to ensure reliability and availability.
Why is redundancy important in systems?
Redundancy is crucial because it provides backup options in case of failure, minimizing downtime and data loss.
Can you give examples of redundancy in computing?
Sure! Examples include RAID configurations for data storage, backup power supplies, and load balancing across servers.
How does redundancy affect system performance?
While redundancy can enhance reliability, it may also introduce overhead, potentially impacting performance depending on the implementation.
What are the costs associated with implementing redundancy?
Costs can vary widely, including hardware expenses, maintenance, and potential complexity in system management.
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