@Sumit Salianโ :
Cluster instance pool, you will need to gather data on the usage patterns of your jobs over time.
One way to approach this is to monitor your instance pool's usage and record the number of VMs that are running at each time interval. You can then analyze this data to determine the peak usage periods and calculate the maximum number of VMs that were running during those periods.
To do this, you can use monitoring tools provided by your cloud provider or third-party tools that specialize in tracking cloud usage. These tools can help you collect data on CPU and memory utilization, network traffic, and other metrics that can help you understand how your jobs are using the VMs in your instance pool.
Once you have collected this data, you can analyze it to determine the maximum number of VMs that are needed to handle your workload during peak usage periods. You may also want to consider adding a buffer to your capacity reservation to account for unexpected spikes in demand.
Keep in mind that your usage patterns may change over time, so it's important to continue monitoring and analyzing your instance pool's usage to ensure that you are always reserving the appropriate amount of capacity.