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Let's continue from where we had left in the previous part of the article.
There must be at least one physical server in the Server Pool that we have created. There are many things you can do with the VM Servers in the Server Pool such as changing the configurations or role or function of the server, restarting it, shutting it down, monitoring its performance, or even deleting it.
The Server Pools are elastic and can adapt flexibly to the increase or decrease in the demand of workloads. It is possible to expand the pool with Oracle VM S5:42 PM 7/16/2009 servers and also possible to transfer the workloads or VMs to the VM Servers that are most capable of handling the workloads by throwing the available 4-core resources such as CPU, RAM, storage, and network capacity to the VMs. There is also a possibility of adding more Utility Servers to strengthen the capacity of the Server Pool and thus letting the Server Master handle the workload by assigning the server available to carry out the task. There can only be one Server Pool Master.
However, there are basic tasks to perform before we can add the extra servers to the resource pool such as identifying them by their IP address and see if they are available to fulfill tasks as Oracle VM Server or Server Pool Master. Also we will need the Oracle VM Agent password to add them to the IntraCloud farm.
Let's move on and start managing the servers. In this section, we will cover the following:
In order to add Utility Servers or Oracle VM Servers to the array of the Oracle VM environment we will need to carry out the following actions:
Confirm the information, after testing the connection obviously, and you are done.
However, ensure that the Oracle VM Servers are unique while registering in order to avoid any duplication of IP accounts.
In order to update information on an existing Oracle VM Server, click on Edit.
We can alternatively also click on the General Information tab.
To monitor the performance of the Oracle VM Server we can click on the Monitor tab, where we get real time access to CPU, memory, and storage usage: