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Viewing system health history

Owned by Sarabjeet Kaur
Last updated: Nov 09, 2023
2 min read

Applies to: Kyvos Enterprise  Kyvos Cloud (SaaS on AWS) Kyvos AWS Marketplace

Kyvos Azure Marketplace   Kyvos GCP Marketplace Kyvos Single Node Installation (Kyvos SNI)

The system health history allows you to monitor the health of all BI Servers and Query Engines

Using this information, you can verify:

  1. If the number of threads executing in the system has suddenly increased in a particular duration

  2. If the number of open file pointers increased after execution of any particular job

  3. If the value of load average was deviating from its ideal value at any point in time

  4. If the heap memory utilization suddenly increased at any time

  5. You can also see all operations happening during a time period. For example,

    1. How many queries were running in parallel

    2. How many semantic model process jobs were running

    3. Any background thread (LDAP sync, purge, range balancer, etc.) was running

  6. Live Query Analyzer shows the following details (of BI Server and Query Engines which have served that query) when that query was running:

    1. Heap utilization

    2. Number of live threads

    3. Number of open file pointers

    4. d. Load Average

To monitor system health, perform the following steps. 

  1. From the Monitor, click Kyvos Engines, and then click View system health history. 

  2. The System Monitor dashboard is displayed in a new browser tab. Here you can see various process stats over a selected period of time. 

  3. Select the Event time duration and/or the sample Interval for which you want to see the stats.

  4. You can filter stats for BI Server and Query Engine using the Service Type filter.

  5. Use the Options button to Share via email or Export it as a PDF or Image file. You can also refresh the status from here.

The health monitor shows:

  1. Total Query Count

  2. Average response time

  3. BI Server and Query Engine System Stats for:

    1. Avg Threads Used

    2. Avg System CPU Usage

    3. Avg Load Average

    4. Avg Heap Memory Used

    5. Avg Open File Pointers

 

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