This documentation supports the 9.1 version of BMC Remedy ITSM Deployment.

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Benchmark summary

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The objective of this benchmark is to characterize the performance and scalability aspect of a deployed AR System ITSM stack under various field conditions. For a realistic simulation, the benchmark workload must include both online and batch workloads. For details about the workload, see Definition of performance benchmark use cases.

A supporting environment was built and IT infrastructure was used in this benchmark to depict a typical deployment architecture; in particular, the HA requirement of many critical deployments.

The workload simulations include the following:

  • A mixed workload simulating ITSM, SRM, and Reporting users with Atrium CMDB processes running in continuous mode
  • A standalone Remedy Single Sign-On workload
  • A standalone Virtual Chat workload
  • A mixed workload simulating virtual chat users, ITSM, SRM, and Reporting users with Atrium CMDB processes running in continuous mode on Single mid tier

The supporting lab environment includes the following:

  • An F5 load balancer
  • The AR mid tier web application deployed as a cluster on multiple tomcat instances
  • Multiple instances (HA) of the Remedy Single Sign-On (RSSO) web application with each instance deployed in the same tomcat as the AR mid tier web application
  • Exactly one Remedy Smart Reporting Server
  • Exactly 2 AR System servers configured as an AR Server Group
  • For Virtual Chat workload the AR mid tier web application was deployed on single tomcat instance 

Following are the key takeaways of the benchmark results:

  • For the 600 concurrent users mixed (online and batch) workload benchmark, the average end-user response time per use case is comparable to the Remedy 9.0 release.
  • The Remedy ITSM suite guideline for hardware sizing is consistent and identical to Remedy ITSM Suite.

    When the new Always On Logging (AOL) feature is on, an additional 3% to 10% CPU utilization is observed on the AR server and this new feature is configured to be ON out-of-the-box. However, this option can be turned OFF if not needed.

  • The AR mid tier deployed as a cluster scales horizontally and vertically.
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