Load DynamiX Enterprise 5.0 and VirtualWisdom Performance Probe Simplify Workload Analysis and Modeling; Accelerate Performance Troubleshooting
San Jose, Calif. — December 2, 2015 — Load DynamiX today announced new products and software modules, extending its industry-leading storage performance validation solutions to include real-time and historical workload visibility. Load DynamiX 5.0 includes an all-new automated workload acquisition and analysis solution (comprised of VirtualWisdom Performance Probe, a Workload Data Importer, and a Workload Analyzer application) that provides comprehensive insight into application workload behavior and its impact on storage infrastructure performance. The new offerings mean that Load DynamiX, with its clear understanding of production workload I/O profiles, helps storage professionals right-size storage purchases and quickly mitigate performance issues.
Storage professionals are constantly challenged to understand and predict how changes in application workload behavior and workload growth will impact storage performance. So far, there has been no easy solution to assist them. Existing approaches are typically vendor-specific; hence limited to infrastructure silos, and typically do not provide real time views into transient events. More importantly, traditional solutions do not correlate performance changes to workload behavior. These challenges meant that storage teams were resolved to serious under- and over-provisioning of storage infrastructure, along with substantial delays in troubleshooting performance problems within their production storage deployments.
“Most organizations know surprisingly little about the demands their applications present to their storage systems. Storage managers routinely specify systems with expensive performance headroom to account for their lack of workload knowledge,” said Howard Marks, founder of DeepStorage.net. “Load Dynamix VirtualWisdom Performance Probe and Workload Analyzers will, for the first time, give enterprises a full picture of their application’s storage behavior and use that data to see how their applications will work on next generation storage systems.”
Load DynamiX 5.0: Introducing Storage Performance Analytics
Load DynamiX 5.0 offers storage teams an automated and simple way to acquire storage array and storage network workload data, and analyze that data for a holistic approach to architecting, optimizing, and troubleshooting storage infrastructure. The storage performance analytics capabilities within Load DynamiX Enterprise 5.0 include new solutions for real-time and historical workload acquisition and analysis. These solutions build upon traditional Load DynamiX strengths in storage workload modeling and workload generation.
Workload Acquisition
Load DynamiX Enterprise 5.0 has added two new ways to acquire actual production storage workloads, analyze those workloads, and automatically create workload models.
Workload Analysis
Before now, IT organizations had no fast and simple way analyze and characterize production workloads and their changing behaviors. Once acquired, production workload data can then be evaluated for performance planning and faster troubleshooting.
“For years now, Load DynamiX has been leading the industry in storage performance validation and testing in pre-production environments,” said Philippe Vincent, president and CEO of Load DynamiX. “But capturing and analyzing production workload data in an automated way remained elusive. It was an art form that our customers were continually challenged with. With our 5.0 release and its advanced storage performance analytics, we provide unparalleled insight into workload behavior and its effect on performance that turns the art form into science.”
“The new Load DynamiX workload acquisition and analysis products are very innovative,” said Christopher King, LinkedIn’s former infrastructure architect. “They will significantly improve understanding of application workload behavior, which will help me more intelligently evaluate new storage technologies, make better storage deployment decisions, and accelerate problem resolution.”