Tech-coffee.net Website Review

Last week I worked for a customer who went through a performance issue on a S2D cluster. The customer’s infrastructure is composed of one compute cluster (Hyper-V) and one 4-node S2D cluster. First, I checked if it was related to the network and then if it’s a hardware failure that produces this performance drop. Then I ran the script watch-cluster.ps1. Azure File Sync is a Microsoft feature released in July 2018. It enables to synchronize multiple On-Premise file servers with Azure. In other words, we can replace DFS-R for branch office. Azure File Sync brings also a tiering feature that enables to cache in On-Prem servers the most used files (based on the access data) and to keep in Azure. With Windows Server 2019 and Windows Admin Center, we are able to build hybrid cloud in an easy way. First Windows Admin Center provide a GUI to configure features such as Azure Backup, Azure Site Recovery or Azure File Sync. With Windows Server 2019, we can interconnect an On-Prem host to an Azure virtual network thanks to Azure Virtual Network.. STORAGE SPACES DIRECT: PERFORMANCE TESTS BETWEEN 2-WAY MIRRORING AND NESTED RESILIENCY. Microsoft has released Windows Server 2019 with a new resiliency mode called nested resiliency. This mode enables to handle two failures in a two-node S2D cluster. Nested Resiliency comes in two flavors: nested two-way mirroring and nested mirror-accelerated parity. I’m certain that two-way mirroring is faster than nested mirror-accelerated parity but the first one provides only 25% of usable capacity. Microsoft just released Windows Server 2019 with a lot of improvement for Storage Spaces Direct. One of these improvements is the nested resiliency that is specific for 2-node S2D cluster. Thanks to this feature, a 2-node S2D cluster can now support two failures, at the cost of storage dedicated for resiliency. Nested Resiliency comes in two flavors: Nested two-Way mirroring:. Most of my customers try to backup their infrastructure at night to avoid impacting the user workloads. Sometimes there are so much data