What is redundancy in distributed systems?
Redundancy in distributed systems refers to the duplication of critical components or functions to increase reliability.
Why is redundancy important for system reliability?
It's crucial because it ensures that if one component fails, others can take over, minimizing downtime and data loss.
Can you give me examples of redundancy techniques?
Sure! Common techniques include data replication, failover systems, and load balancing.
How does redundancy affect system performance?
While redundancy improves reliability, it can introduce overhead, potentially affecting performance if not managed properly.
What are the trade-offs of implementing redundancy?
The main trade-offs include increased costs, complexity, and potential performance impacts versus improved reliability.
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