User Interface
Last updated
Last updated
The Operational Insight dashboards are built using Kibana, which allows authenticated user to view and drill into the system metrics and application log data. Kibana provide a rich dashboard development framework, which allows users to build dashboards for visual exploration and real-time analysis of data stored in Elasticsearch. The metrics and log data stored within Elasticsearch can be queried and visualized in Kibana with no coding effort. Valuable data such as user details, processing time is extracted and stored in separate fields can be used a filters in the dashboards created.
Dashboards are very useful, when consumers want to get a quick overview of the data and make correlations among various visualizations and logs. The Dashboard page allows users to create, modify, and view their own custom dashboards. With a dashboard, users can combine multiple visualizations onto a single page, then filter them by providing a search query or by selecting filters by clicking elements in the visualization.
Users can filter results by entering a search query, changing the time filter, or clicking on the elements within the visualization.
For example, if you click on a color segment in the histogram, the dashboard will allow you to filter on the significant term that the segment represents.
Be sure to click the Apply Now button to filter the results and refresh the visualizations. Filters can be applied and removed as needed.
The search and time filters work just like they do in the Discover page, except they are only applied to the data subsets that are presented in the dashboard.
When you open the dashboard by default you will see the last 15 minutes of the logs sorted by time. You can modify the time window by clicking on the clock icon on the top panel. This will give you a number of options and allow you to quickly look at data for a specific time span.
Select a start and end time and the click the GO button. The log data will be displayed with a bar chart at top and table to log events at the bottom. The histogram shows the event count for the time range with an interval which is auto computed. You can change this by clicking on the link and selecting a different time interval from the drop down.
You can use the mouse to zoom in further. This will load the events for that time range. Right click and select back button to go back. You can also select on a bar to drill into the event for that specific time.
Below the graph, the first 500 log events are shown. You can refine the search criteria or use a different time range to see additional results. Click on the caret graphic (>) to expand the message and view the event details. This is useful for multi-line events such as stack traces where the log message is split across multiple lines.
