VMware I/O Analyzer

VMware I/O Analyzer is an integrated framework designed to measure storage performance in a virtual environment and to help diagnose storage performance concerns. I/O Analyzer, supplied as an easy-to-deploy virtual appliance, automates storage performance analysis through a unified interface that can be used to configure and deploy storage tests and view graphical results for those tests.

I/O Analyzer can use Iometer to generate synthetic I/O loads or a trace replay tool to deploy real application workloads. It uses the VMware VI SDK to remotely collect storage performance statistics from VMware ESX/ESXi hosts. Standardizing load generation and statistics collection allows users and VMware engineers to have a high level of confidence in the data collected.

Please post comments and questions regarding this fling to the I/O Analyzer Community.

Features

  • Integrated framework for storage performance testing
  • Readily deployable virtual appliance
  • Easy configuration and launch of storage I/O tests on one or more hosts
  • Integrated performance results at both guest and host levels
  • Storage I/O trace replay as an additional workload generator
  • Ability to upload storage I/O traces for automatic extraction of vital metrics
  • Graphical visualization of workload metrics and performance results

New in version 1.6

  • Upgraded to SLES 64-bit VM
  • Upgraded to 64-bit JVM with 1.6GB default heap size
  • Upgraded to Tomcat6
  • Disabled esxtop CSV output by default to avoid running out of JVM heap
  • Added experimental NFS-client stats collection
  • Added experimental non-persistent configuration option
  • Various bug fixes
  • Updated documentation

Using the VMware I/O Analyzer v1.5: A Guide to Testing Multiple Workloads

Download VMware I/O Analyzer

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About Victor Wu

My name is Victor. I hope to be your friend.
This entry was posted in VMware. Bookmark the permalink.

3 Responses to VMware I/O Analyzer

  1. Asad Ali says:

    Thanks for sharing VMWare I/O Analyzer, using now, it’s so effective for testing multiple workloads.

    #Test Data Generation Services and Software Analysis

  2. Asad Ali says:

    Reblogged this on World Popular and commented:
    Nice Post

  3. Asad Ali says:

    ReBlogged this on World Popular

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