Designing storage for enterprise applications such as databases, mail servers, and VDI involve benchmarking various storage devices during proof-of-concept (POC) phase. One of the intents of the POC is to evaluate behavior of storage under various load conditions, against various I/O profiles that are supposed to represent/simulate the actual applications. The storage that stands out during the benchmarking will be a prime candidate for consideration.
We have been exposing data from our PernixCloud in articles such as A Portal Into The Planet's Virtualized Data Centers, Insights Into CPU And Memory Configuration Of ESXi Hosts and Insights Into VM Density. We collect lots of data of the virtual datacenters around the world to understand the architectures companies operate, but we also use the data to understand the performance of our own products. One of the key metrics that we are interested in is how much latency of workloads we improve when accelerate with FVP.
Workload behavior can significantly affect the appropriate design and optimization of your data center. It's important to understand various workload characteristics, how they change over time, and how they impact application performance. In this series, I've identified the top six things you should know about your virtualized workloads.
Today I am very proud to announce the release of Architect 1.1 and FVP 3.5. In these releases we’ve focused heavily on the operationalization of these products at scale. To that end we are making available our Management Server as a virtual appliance.
Recently, Melinda Gates revealed an interesting perspective on how to solve global poverty. When asked if she could have one superpower to help solve that enormous challenge, she answered “more time”. That is a great answer – but since we cannot alter the space/time continuum, how do we actually create more time?
Your database VMs weren’t running as fast as you needed them to, and you needed to fix it. So you went on a quest to look for a solution…and all-flash arrays looked like the silver bullet you were looking for. After all, flash is fast and certainly much faster than disk. The sales demonstrations clinched the deal as you saw the high IOPS and sub-1ms latencies with your very eyes right in the array GUI. You thought you would never have to worry about performance problems again – it seemed like a storybook ending that was too good to be true.
I recently saw a trailer for the upcoming movie “Bad Moms,” and instantly thought: “That is spot on!” For any working mom who has felt guilty for leaving the office to pick up a sick kid, ladies who feel judged because they can’t sign up for the school’s weekly-reading duty due to a job that requires travel, or those who have been told they are a “bad mom” for working (which actually happened to me while at the doctor’s office with a sick kid) - this blog is for you!
EMC ScaleIO is a software-based solution that aggregates storage media (spindles, SSDs) in servers to create a server-based SAN. It is built on vSphere hosts by deploying ScaleIO software in vSphere hypervisor and in linux-based VM running on each host. This allows the vSphere hosts to provide both storage and computing to the Virtual Machines (VM) running on them. This converged environment is called a HyperConverged Infrastructure (HCI).
To properly design and optimize your data center, it's important to understand various workload characteristics, how they change over time, and how they impact application performance. I've identified the top six things you should know about your virtualized workloads.
When discussing or comparing storage architectures IOPS, latency and throughput are the key metrics of differentiation. Unfortunately the IOPS metric has become to go-to-metric for distinctiveness for arrays with its peers.