When evaluating the Ganglia Metrics for a given cluster with 3 executor nodes, which indicator would signal proper utilization of the VM's resources?
When evaluating the Ganglia Metrics for a given cluster with 3 executor nodes, which indicator would signal proper utilization of the VM's resources?
CPU Utilization is a primary indicator of how well the VMs' computational resources are being used. An ideal CPU utilization of around 75% suggests that the CPUs are being effectively utilized without being overburdened, providing room for handling additional load and minimizing the risks of bottlenecks. This level of usage implies that tasks are being processed efficiently, making it a key metric for proper resource utilization in a distributed computing environment.
I would look at max CPU utilization and max Memory usage. Having 75% CPU usage would signify we have a proper utilization of cpu resources
An average CPU utilization around 75% is a good indicator of proper utilization of the VM's resources in a distributed computing environment. It suggests that the CPUs are being actively used for computation without being maxed out, which could indicate a bottleneck. It leaves some headroom to handle additional load without causing excessive queuing or delays.
Proper utilization of VM resources, especially in a distributed computing environment like Spark, often involves efficient usage of CPU resources. A CPU utilization around 75% indicates that the CPU is being utilized without being fully saturated, allowing room for additional processing without causing excessive contention.
75% good