hIOmon Software and Services

Pertinent, Empirical Disk and Application I/O Performance Metrics

Storage technology is complicated, but the evaluation of your storage I/O performance need not be.

Historically, the analysis of storage I/O performance has often entailed numerous numbers, piles of plots, ballpark benchmarks – and perhaps a laborious individual I/O operation trace to review.

hyperI/O takes a different approach.  We provide "Top-Down" I/O performance metrics that:

  • Are simple and quick to obtain, including automatically-summarized even in real-time

  • Are easy to understand and use

  • Reflect how you actually use your storage


An Automotive Approach



Automobiles are complex in design and construction.  As a result, there are a number of factors that can impact performance such as: engine type and configuration, transmission, tires, and aerodynamics.  Traffic and weather conditions along with terrain can also influence performance.

Nevertheless, there are several key metrics that you typically use when evaluating the performance of your automobile.  Fuel economy (miles-per-gallon) is a common, prominent one.

Similarly, you consider how you actually use your automobile.  Do you usually do a lot of stop-and-go city driving?  And how about fast and lengthy highway/expressway driving?

Of course, another consideration is the typical and maximum number of passengers.

Basically, what are the particular profiles that reflect how and where you in fact use your automobile and its performance?


The hyperI/O Approach to Storage I/O Performance Analysis


Simple, Quick, and Easy  –  plus Private, Secure, and Cost-Effective Too!


The hIOmon software tools from hyperI/O have been designed and implemented to be simple, quick, and easy to install and use.  Plus they are secure (digitally code-signed) and they maintain your privacy (e.g., no collected metrics are transferred to hyperI/O for summarization or analysis).

Emphasizing a big-picture top-down approach, these tools enable you to easily and quickly evaluate your specific storage I/O performance.  For example, the hIOmon DXTI metric provides a fundamental measure of your storage performance efficiency much like the “fuel economy (MPG)” indicator does for automobiles.

Likewise, the hIOmon “Performance Threshold Range Metrics” enable you to capture the specific “I/O Profiles” of your particular devices, files, and applications/workloads – moreover, during normal everyday usage with no file, file system, device, or operating systems changes required.

Both real-time and historical displays allow you to observe precisely how and the extent to which your own applications and workloads actually use your storage.  See “hIOmon Benefits”, “hIOmon Tools Overview”, and the documentation section for more information.

A free demonstration version of the hIOmon WIOP that supports both workstation and server is also available for download.


What's New


The latest hIOmon WIOP and WIOPF software packages now provide additional support for “coalesced” hIOmon Manager Export Files, including hIOmon Disk I/O Ranger Display support for displaying and coalescing hIOmon Manager Export Files using the hIOmon REST API.

The hIOmon Disk I/O Ranger Display also provides "sort-order" options.  For example, you can now enable the “Max IOPS Read” sort order option in descending order so that the device, file, and process names will then be displayed in descending maximum read I/O operation IOPS order (with the device, file, and process with the highest observed number of read I/O operations per second appearing at the top of the list of respective names).  More than 70 sort order options are supported.

Also new, the hIOmon REST API now supports coalescing hIOmon Manager Export Files, with an extensive variety of coalesce options (e.g., coalescing upon a daily, weekly, and monthly basis).  In addition, the hIOmon REST API supports the configuration of various hIOmon software components (e.g., hIOmon Filter Selections, hIOmon Manager Export Files, and the hIOmon Manager operation along with hIOmon ETW I/O Monitor operation).


Bringing Transparency to Disk I/O Performanceâ„