Which statement describes a disadvantage of clustering in a customer-hosted runtime plane?

Which statement describes a disadvantage of clustering in a customer-hosted runtime plane?

• A. No overhead due to replication
• B. Performance overhead due to data replication
• C. Lower latency due to sharing memory
• D. Faster failover

Answer: (B)

Clustering in a customer-hosted runtime plane involves keeping multiple nodes in sync by replicating data and state. That replication process uses network bandwidth, CPU, and memory, and requires coordination across nodes, which can add latency and reduce throughput, especially with large data or frequent updates. So the main drawback is the performance overhead caused by data replication. While clustering brings benefits like higher availability and faster failover, those come with this trade-off. The idea that there is no overhead, or that latency is reduced by shared memory, doesn't fit the clustered setup, and faster failover is an advantage, not a disadvantage.

Clustering in a customer-hosted runtime plane involves keeping multiple nodes in sync by replicating data and state. That replication process uses network bandwidth, CPU, and memory, and requires coordination across nodes, which can add latency and reduce throughput, especially with large data or frequent updates. So the main drawback is the performance overhead caused by data replication. While clustering brings benefits like higher availability and faster failover, those come with this trade-off. The idea that there is no overhead, or that latency is reduced by shared memory, doesn't fit the clustered setup, and faster failover is an advantage, not a disadvantage.