Kibana

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Introduction

Kibana is an open source workbench that allows for the visualization of data that have been previously indexed in our analytics warehouse. Kibana is currently available for the Ultimate and BIZ Ultimate editions of Memsource.

Downloading, Installation Start-Up

  1. In your Memsource account, go to Setup – Kibana (under Analytics) and click on Setup Kibana Access. This will generate a unique URL you will need to visualize data with Kibana.
  2. In order to process data from Memsource, Kibana version 4.1.6 is required. It can be downloaded from the official website of Elastic or directly via this URL link.
  3. Download the respective installer for your operating system.
  4. Extract the downloaded ZIP file.
  5. Inside the 'config' subfolder, you will find 'kibana.yml' configuration file. Open it using a text editor or a source code editor, such as Notepad++, jEdit or other (for a clearer display of the code).
  6. Replace the value of the elasticsearch_url (usually "http://localhost:9200") with the URL you have generated in your Memsource account and make sure the kibana_index is set to .kibana - like this. Save the file.
  7. To start Kibana, go to the 'bin' subdirectory in the extracted folder and double click kibana.bat (Windows users), or kibana (other users).
  8. If you have setup everything correctly, you will see the following lines, which means Kibana is ready for use.
  9. Open your browser and type localhost:5601 to the address line to access the visualization workbench.

Configuring Kibana

  1. Start Kibana as described in the previous section.
  2. When you log in for the first time, you will be prompted to configure the index patterns (in 'Settings' > 'Indices' menu) you want to utilize for your visualization.
    These index patterns are currently available:
    • com.memsource.web.analytics.data.job (job.dateCreated)
    • com.memsource.web.analytics.data.jobpart (jobPart.dateCreated)
    • com.memsource.web.analytics.data.analysis (jobPart.dateCreated)
    • com.memsource.web.analytics.data.costs (jobPart.dateCreated)
    • com.memsource.web.analytics.data.api (request.date)
  3. When creating your indexes, the expression in brackets represent the recommended Time-field name for the given index. You can configure any or all the indexes available.
  4. Once the indexes are registered, you can start visualizing the data through the Visualize tab.

Classification of Indexes

  • Job index
    • Information about job size (words, pages etc.), about who created jobs, when they were created, filetypes, projects and organizations they belong to.
  • Job Part index
    • Jobs themselves do not have statuses or assigned users. This type of information is stored in terms of job parts (i.e. jobs in different workflow steps constitute different job parts). Otherwise, the same of data as in the Job Index are available (filetype, project, organization etc.).
  • Analysis index
    • Information about Analyzed Job Parts (divided into match categories) with and without Net Rate applied.
  • Costs index
    • Costs for the Job Part (based on Price Lists).
  • API index
    • Summary of API usage.

Visualization

How many words Linguists translated and into which languages

Below you will find a short guide on how to create your visualization. For more information about the possible options and types of visualization, please consult the Kibana User Guide.

  1. The Visualize tab allows you to choose the type of visualization you want to use. On the very bottom of the page you can also see previously saved visualizations.
  2. Select either new or saved search option.
  3. For the new search, you will be given a choice which of the configured indexes you wish to use.
  4. You will see an empty graph with various options you can select and feed it into it.
  5. Kibana by default selects the interval of Last 15 minutes; select a different interval if needed.
  6. In the left panel, you can select the metrics to use for your visualization.
    • The first section determines the type of data used to create the graph and the aggregation method. This graph will determine the overall number of units within the given metrics.
    • Section Buckets allows you to divide the graph based on the selected parameters.
  7. You can also save the given graph if you want to avoid repetitive manual configuration

Sample Charts and Configurations

You can find sample charts with their respective setup on our dedicated page.

Dashboard

Dashboard sample
  • You can visualize the saved graphs on the Kibana Dashboard.
  • Each of the graphs set up in the Dashboard will then reflect the Time Field selected in the Top panel.
  • The graphs can be resized, moved and ordered to provide an adequate view of the data.
  • Dashboards can also be saved and stored for later use.