This starter kit gets you started using the HICC dashboard to manage and monitor your clusters. By the end of this starter kit, you'll be familiar with the steps to work with home page, monitor activities, set up views, and define widgets.
Home is a user customizable home page. Use top right menu button to bring up navigation. Search function assists to find widgets in HICC Widget catalog. When hover over a widget, user have 4 options to interact with the widgets. on the menu bar will close the Widget. will zoom the widget to full page view. Widget bar enables dragging placement of widget in the dashboard. By dragging the bottom right corner of the widget, the widget can be resized.
At top menu bar, H D M Y are representation buttons of Time range. Each button presents a different time scale. The available time scale are: Hour, Day, Month, and Year. By pressing the button, the dashboard displays information corresponding to the selected time scale.
The top right button is the logout button.
User Activities dashboard displays Administrator defined dashboard for visualizing the user related information.
User generated activities, such as running, deploying and administering an application. Log search helps to provide ability to search for key words that help user to correlate events together. Other activities such as metering of application usage also help users to gain insights about their usage pattern. From usage pattern, application administrator can improve capacity plan for various type of applications.
System Activities dashboard displays Administrator defined dashboard for visualizing the overall health of the infrastructure.
The default system dashboard displays cluster, system, and services health. This dashboard helps to monitor the cluster health, and amount of resource usage. These information can help system administrators to improve infrastructure quality.
Graph Explorer is a widget composer for data scientist to correlate metrics data and generate chart and graphs.
Metrics Group is a kind of data collected by Chukwa Agent. When a data stream is collected from the source, data type is predefined to ensure Chukwa can use the correct parser to process the incoming data type. When user wants to compose a new widget, metrics group is used to narrow down which group the information belongs to.
Metrics is a list of possible metrics from a metrics group. User can select multiple metrics to visualize correlation between metrics. For example, for correlation of total disk uage, user can select SystemMetrics.disk.Total and SystemMetrics.disk.Used to visualize the disk usage of a given node.
Source refers to the origin of the data source. It is a high level concept to representing the source of the data is originated from a node, a service, a process, or a device. This enables user to selectively filter the source of the metrics and visualize individual source or all sources.
Title defines searchable name when widget is published to Widget catalog.
Visualize time series metrics in a 2 dimension xy chart. User can customize the visualization to plot line, bar, area, and scatter chart.
Display a banner of the last known value. User can customize tile to display either a string, or numerical value.
Pie chart visualization is designed to visualize pie chart base on pre-defined metrics type. User can select multiple metrics and the averaged value of the selected time range is used to compute the values of each metrics on the pie chart.
Ring chart visualization is suitable for visualize guage value to ensure specific metrics does not exceed its maximum value. A single metrics of 100% percent or a pair of metrics that representing current / maximum values can be specified to visualize the ring chart.