I/O Transformation
The key to 40% faster data transfer rates
“Your hardware should be able to perform faster but the way Windows is handling the data logically, it’s like Windows has got its foot on the brake of that brand new Maserati you just bought,” Howard Butler, Senior Director Field Engineering
Featuring:
Howard Butler, Senior Director Field Engineering
Description:
I/O transformation is the key to 40% faster data transfer rates. The above video is a 1-minute clip from a recent webinar describing the importance of I/O transformation in a Windows environment.
[Or read the transcript below]
Howard Butler:
“Next slide here, and that’s how important this concept of I/O transformation really is, and I’ll go into quite a bit more detail when we get into the technical briefing portion a little bit later on, but I just wanna look at this from a high level and kind of sum it up, okay? This is what we want to happen with write I/Os, we take those split small random I/Os and we can transform them into more contiguous, larger sequential, I/Os. That’s the key to getting back 30% to 40% of your throughput.
“Your hardware should be able to perform faster but the way Windows is handling the data logically, it’s like Windows has got its foot on the brake of that brand new Maserati you just bought. So think of DymaxIO as pressing down on the accelerator, making things go faster, more transactions.”
Additional I/O Transformation resources
Article: I/Os Are Not Created Equal – Random I/O versus Sequential I/O
Case Study: Telestream solves timeouts and slows on I/O intensive applications
Article: Myriad of Windows Performance Problems Traced to a Single Source
Article: How To Get The Most Out Of Your Flash Storage Or Move To Cloud
Video: The Two I/O Fallacies Surrounding IOPS and I/O Response Time
Webinar: Two I/O Myths Killing 40% of Your Throughput
Do Your Windows Servers Have an I/O Performance Problem?
Find out by running the free Condusiv I/O Assessment Tool. It gathers 11 key performance metrics and performs statistical analyzes looking for potential problems. It then displays these metrics to help you understand where potential bottlenecks might be.
Originally published Nov 4, 2020. Updated Aug 4, 2021.