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elk's Introduction

This repo is designed to collect RackHD host performance, benchmarkand and logs for @Scale test. All data will be stored in Elasticsearch and can be displayed in Kibana
Here are steps to use this tool:

  1. Configure username, password and IP address for RackHD OVA, ESXi host deployed with RackHD OVA and test server (localhost) in "hosts" file.
  2. Run rackhd_elk.py to collect data. Below are some command examples:

    a. ./rackhd_elk.py --start
    >>Start RackHD ELK data collection
    b. ./rackhd_elk.py --stop
    >>Stop RackHD ELK data collection and configure ELK
    c. ./rackhd_elk.py --start -d 3600 -a
    >>Run test for one hour and automatically complete data colleciton and configure ELK
    d. ./rackhd_elk.py --kill --clear --start
    >>Clear elasticsearch database and kill ELK processes before start test

  3. Open browser and enter <localhost_ip>:5601 to access kibana.

    a. 3 indexes will be created: rackhd_benchmark, esxtop, rackhd_log.
    b. Two dashboards are configured for RackHD ESXi host and benchmark performance to display CPU, network and memory performance.

elk's People

Contributors

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Watchers

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