Somebody asked me if VMFS3 multi-extents datastores are supported by Storage DRS. Although they are supported and fully operational in Storage DRS, one must ask if this construct of large datastores should be used in a datastore cluster.
Resource aggregation and flexibility
Storage DRS Datastore clusters offer flexibility in adding and removing datastores dynamically and allow the administrator to focus on macro management by reducing the number of entities to be managed.
By using datastore cluster, micro management of single datastores is something from the past, such as the tedious task of virtual machine placement. The administrator no longer needs to find a datastore that provide adequate space, while still ensuring that placement of the virtual machine will not result in an I/O bottleneck. Let alone monitoring the current workload next to the ever-expanding workload; application lifecycles are changing drastically and virtual machine server sprawl is still one of the top concerns of the modern administrator. Keeping track and managing such an environment is very challenging. By allowing Storage DRS to manage (initial) placement of virtual machines, the administrator only needs to monitor overall available space and IO performance of the datastore cluster itself.
If the cluster requires more space of more IO performance the administrator can dynamically add more datastores to the datastore cluster and allow Storage DRS to find an optimal distribution of the current workload. The option “Run Storage now” in the datastore cluster view allows the administrator to trigger a Storage DRS invocation immediately.
Using Storage DRS and particularly space load-balancing can reduce the need of multi-extents as well. By allowing Storage DRS to monitor space utilization, the free space used as a safety buffer can be greatly reduced. Each ESXi host reports the virtual machine space utilization and the datastore utilization; Storage DRS will trigger an invocation if the configured space utilization is violated. A common practice is to assign a big chunk of space as safety buffer to avoid out of space situation of a datastore, which might lead to downtime of the active virtual machines. I’ve seen organization using requirements of 30% free space on datastores. By reducing slack space, a higher consolidation ratio can be achieved (if IO performance allows this), or a reduction in LUN sizes. Reducing LUN sizes can be used to provision additional datastores to the datastore cluster. More datastores benefits Storage DRS by offering more load balancing options, more datastores increase the number of queues, which benefits IO management at ESXi level and at SIOC at cluster level. Essentially this configuration is the complete opposite of VMFS extends. However if larger size datastores are necessary, vSphere 5 offers VMFS5.
VMFS5 allows datastores up to 64 terabyte of contiguous space. ESXi 5.0 allows a VMDK size up to 2 terabyte of space, providing sufficient space for most virtual machines configurations. If the virtual machine requires more than 32 virtual machine disks of 2 terabyte it’s recommended to disable the default affinity rule (keep all disks together) and allow Storage DRS to distribute the virtual machine disk files across all datastores inside the datastore cluster. This granularity allows Storage DRS to find a suitable datastore for each virtual disk that aligns with the performance requirements of that specific virtual disk.