Visualize Log Data with Dashboards in observIQ

Dashboards give you enhanced visibility into your application and infrastructure. The dashboard serves as a common starting point for you to begin your querying for analysis or debugging, with your data indexed, categorized, and depicted in a graphical format of your choice. Within your observIQ account you can:

  1. Use Dynamic Dashboard that is automatically built based on your log data
  2. Create a new dashboard from a curated list of visualization options or customize the dynamic dashboard to suit your needs
  3. Clone, delete, and edit either a dynamic or customized dashboard
  4. Visualize the various aspects of your application and infrastructure
  5. Make your dashboards intuitive to get a quick overview of all aspects that are of interest to you in maintaining and developing your application
  6. Analyze, drill-down and download to the finest grains of information in your log data

Dynamic Dashboards

Dynamic dashboards are pre-built dashboards deployed to your account after you 1) install an agent and 2) add a Source to your agent. You can find a list of Sources with Dynamic dashboards here: (add a link to Dashboards page)


Creating Custom Dashboards

Go to Explore → Dashboards, and click the “Create Dashboard” button

  • On the following page, click the “Add an existing” link
  • In the pop-up that appears, search and add the visualizations that you want to be added to the new dashboard
  • You can also create new visualizations and add them to the dashboard
  • Once done, click “Save”
  • Enter a name and description for the new dashboard
  • Click the “Save” button. Now the interface displays the Dashboard's name at the top.

You can alter the position and size of the various visualizations grids on the dashboard. There are also options to edit, clone, edit the panel, make the panel to full screen, replace the panel and delete the visualization.


Viewing, Editing, and Cloning Dashboards

To view a list of all dashboards in your company’s observIQ account, go to Explore → Dashboard

  • Clone: Use the clone option if you need to customize only certain elements of an existing dashboard. You can clone both the dynamic dashboard and the dashboard that are manually created.
  • Viewing Fullscreen: If your time frame in the dashboard view is broad and you want to have a better view of all the values displayed, opt to view the dashboard in full-screen mode.

  • Editing Dashboards: Edit the visualization elements, name and description of dashboards using this option. When you edit the dynamic dashboard, it should be saved as a customized new dashboard.

Analyze Your Logs From the Dashboard

In your dashboard view, you can drill down to the fine grains of your log data. Here are some actions you can do on this screen:

  1. Edit: You can edit the visualization panels, name, and description of a dashboard using the edit option.
  2. Dynamic Filter BarStandard filter options: These are filter options that you will see standard in observIQ. Here, you will see that there’s a percentage break up for all the filters in the dashboard that you are viewing. 3. Secondary dashboard filters: These filter values are specific to the dashboard that you are viewing.
    Time Filter Frame: You can set the time frame for the data you want to analyze on the dashboard.

Sources with [oiq] Dashboards

For many Sources in observIQ, Dashboards are automatically installed in your account the moment create the Source type. For example, creating an Apache HTTP Source will automatically install the [oiq] Apache HTTP - Overview dashboard, and accompanying visualizations in your account.

  • Apache Cassandra
  • Apache HTTP
  • Apache Hadoop
  • Apache HBase
  • Apache Tomcat
  • AWS Cloudwatch
  • Cisco Meraki
  • Couchbase
  • CouchDB
  • Docker Swarm
  • Elasticsearch
  • JBoss
  • Journald
  • Kubernetes
  • Kubernetes Events
  • MacOS
  • Memcached
  • Microsoft Active Directory
  • Microsoft IIS
  • Microsoft SQL Server
  • MySQL
  • Netflow
  • NGINX Ingress Controller
  • Node.js
  • PostgreSQL
  • RabbitMQ
  • Rsyslog
  • Ruby on Rails
  • Syslog
  • Syslog-NG
  • Ubiquiti
  • VMware ESXI
  • VMware vCenter
  • Windows Event Log

What’s Next