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Workload Iterator From Load DynamiX

Simplifies ability to test hundreds of storage workload variations.

Load DynamiX, Inc., in storage infrastructure performance validation, announced Workload Iterator, an addition to its storage workload modeling and performance validation solution. 

It helps storage engineers and storage architects simplify storage performance testing while increasing their ability to test hundreds of variations for any networked storage workload scenario. It enables determination of the performance strengths and weaknesses of any all-flash or hybrid storage system.

Storage engineers who are trying to understand the performance characteristics and benefits of all-flash or hybrid storage systems can now model hundreds to hundreds of workload scenarios in a stepwise fashion. 

Workload Iterator empowers storage engineers with ability
to vary multitude of permutations of workload assumptions including:

  • block size
  • file sizes
  • R/W percentages
  • sequential/random%ages
  • LUN hot spots
  • data compression and inline deduplication ratios

Understanding the performance impact of deduplication and compression is particularly important as both technologies substantially reduce the price per gigabyte and are critical to flash and hybrid storage adoption.

Load DynamiX will be debuting its Workload Iterator and exhibiting its products at the Flash Memory Summit in Santa Clara, CA, August 5-7, 2014 and will be speaking in the SSD Testing Challenges track on Wednesday, August 6.

Load DynamiX storage performance validation solutions have been an industry game-changer for those needing to easily assess the benefits of flash and hybrid storage solutions for their unique workloads,” said Philippe Vincent, CEO, Load DynamiX. “Our new Workload Iterator is a significant new innovation that will dramatically simplify the testing and validation process, as initiatives that took weeks or months in the past can now be accomplished in a matter of days.”

Today’s storage systems, whether all-flash arrays or hybrid storage, are more sensitive to the workloads and applications storing data on them than the disk based systems of old,” said Howard Marks, chief scientist, Deep Storage, LLC. “This makes it all the more important that storage architects actually test their systems with workloads that closely model their real world applications. With Load DynamiX and its Workload Iterator, architects can now easily identify performance limits for their unique workloads and determine the strengths and weaknesses of any networked storage array.”

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