Blog Post: Storage Replication With Windows Server Technical Preview
Storage Replica with Failover Cluster and File Server Role (Windows Server Technical Preview) http://www.starwindsoftware.com/blog/storage-replication-for-failover-cluster-with-file-server-role-on-windows-server-technical-preview/
Storage Replica with Microsoft Failover Cluster and Scale-out File Server role (Windows Server Technical Preview) http://www.starwindsoftware.com/blog/storage-replication-for-scale-out-file-servers-on-windows-server-technical-preview/
Storage Replica with Microsoft Failover Cluster and Clustered Hyper-V VM role (Windows Server Technical Preview) http://www.starwindsoftware.com/blog/storage-replica-with-microsoft-failover-cluster-and-clustered-hyper-v-vm-role-windows-server-technical-preview/
Storage Replica with Microsoft Failover Cluster and Guest VM Cluster role (Windows Server Technical Preview) http://www.starwindsoftware.com/blog/storage-replica-with-microsoft-failover-cluster-and-guest-vm-cluster-role-windows-server-technical-preview/
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1. Fighting the "I/O Blender" Effect in Virtual Environments
StarWind Software’s Weapon of Choice Is a Log Structured File System (LSFS)
Thursday, December 11, 11:00 AM PT / 2:00 PM ET
A side effect of the massive server workload consolidation enabled by hypervisor-based virtualization has been the addition of 7 to 16 I/O ports per machine to handle the I/O requirements of the hosted apps. But, before the data can be sent to and from storage devices, virtualization administrators often confront a more challenging problem that some have taken to calling the I/O Blender Effect. The I/O Blender effect is seen when multiple virtual machines send their I/O streams at the same time to a hypervisor for processing, increasing random accesses and increasing latency. Some software-defined storage (SDS) architectures are actually making the problem worse by caching raw small logical block writes using flash memory devices, leading to accelerated wear of the device and contributing virtually no improvement in storage I/O performance.
The solution isn’t bigger or faster flash memories, but rather a log-structured file system that better organizes, writes and enables a return to sequential accesses. Don’t look for log structuring technology (yet) in the SDS offerings of leading hypervisor vendors--it is still on their product roadmaps. To get it today, you need to look at SDS innovators like StarWind Software whose approach to virtual SAN enables small writes to coalesce before writing them to flash-based caches and that enables most read requests to be handled from the cache directly.
If you are considering software-defined storage, this is a webcast you don’t want to miss.
Special Offer: Attend the webinar and win a free NFR license of StarWind Virtual SAN!
Scale Up is History! Is Scale Out the Future for Storage?
Thursday, December 18, 2PM GMT
For many years, the dominant architecture for both compute and storage involved building bigger, faster "scale up" hardware as demand grew. However, efficient web scale companies like Google and Facebook have demonstrated there’s a place for scale-out architectures too.
Join us for a discussion on the difference in design and approach between scale up and scale out solutions, focusing on the benefits and disadvantages of each. The presentation will cover both storage and hyper-converged solutions, with a review of the products in the marketplace today, including leading vendors such as Microsoft and VMware.
Sign up for this webinar to learn:
· What are scale out solutions?
· Differences and benefits of scale out vs traditional scale up solutions
· Challenges in delivering scale out architectures
· How scale out helps deliver hyper-converged compute and storage solutions
· How to decide whether scale out or scale up is right for you
· Vendor roundup – scale out hardware and software offerings in the marketplace today