Pooling and sharing of resources is a feature of many data center technologies on which we rely. But this approach has a challenge in that the pool has a finite size. If there is not enough resource to satisfy all the resource demands, then something will suffer. We frequently see this in new virtualization deployments. A cluster is built, and VMs are deployed. Over time, more and more VMs are deployed until the cluster becomes overloaded. The same overloading can happen on the network and storage resources, leading to performance issues. To avoid performance problems, we need to manage resources to make sure we satisfy demands. Ultimately we need to make sure we deliver resources where they provide a benefit to the business.
Articles Tagged with QoS
In part one of this article, I lamented the state of our enterprise storage arrays and talked about the features we absolutely need on any new arrays bought this year. Why the lament? Because this is 2015, and we’re tired of the 1995 technology we’ve been using. When you send out your RFPs this year, the following are things you should score vendors on.
It’s 2015, but you would think it was 1995 based on what we’re still using in our data centers for enterprise storage. We still have gobs and gobs of spinning disks, sucking power and boring us to death while they find our data. Convergence is largely unconverged—we still have separate Fibre Channel and IP data networks, and the only things that got converged were our bills of materials and the sides of our wallets. And for some inexplicable reason, we’re still debating how and when to use flash.
A few weeks ago, I had the opportunity to get to know SolidFire and its Storage System product, an all-flash array designed for on-premises use but with some attractive cloud functionality. At first glance, the array looks like many of those in the all-flash space. It’s built out of discrete nodes; uses 10 Gbps networking to present iSCSI; does inline deduplication, compression, and best-effort real-time background replication; has copy-on-write, space-efficient snapshots; and scales linearly.
By Greg Schulz, Server and StorageIO @storageio
IO, IO, it’s off to storage and IO metrics we go shifting gears a bit from the recent four part series around SSD topics for physical and virtual environment. A while back I did a post about Why VASA is import to have in your VMware CASA along with another piece about Windows boot IO and storage performance impact on VDI planning. Among other things those two pieces have in common is a theme around the importance of storage and IO metrics that matter.