Tingyun Network displays Synthetic Monitoring results in a variety of dimensions, including analysis from task data overview, trend charts, regional maps, maps, hosts, errors, scatter plots, and element dimensions.
The data is summarized and displayed in the form of trend curves. Supports multiple display conditions, such as operator, provincial operator, city operator, province, city, country, private point, and operator delay. Trend charts are suitable for observing the changing trends of monitoring tasks in the time dimension.
The performance of various important performance indicators in different dimensions is displayed in the form of bar charts. Summary data and detailed data tables are displayed below the chart. Click the display conditions at the top of the page, such as operator, provincial operator, city operator, province, city, country, private point, operator delay, to switch the display content.
The performance of each different area is visually displayed in the form of a map of China and the world, and different colors are used to indicate the quality of the monitoring results. It supports viewing performance from the node perspective and the host perspective. The viewing perspective can be switched. The node perspective is the access experience of users in different cities, and the host perspective is the performance performance of hosts in different cities.
Shows the performance of the host under monitoring tasks under different city operators. Click the display conditions at the top of the page, such as host summary, host performance, host error, host coverage, host coverage province, and host coverage operator, to switch the display content. Summary data and detailed data tables are shown below the figure. Host summary dimensions:Host error dimensions:Host coverage dimensions:Host coverage province dimension:Host coverage isp dimension:
Under the error map, users can learn what errors occurred during task execution, the number of errors, how many errors occurred in each period, and how many errors occurred in each operator. They are committed to analyzing the causes of errors from multiple perspectives and exploring the patterns of error occurrences. Summary data and detailed data tables are shown below the figure.
Scatter charts render each piece of data on the chart in the form of data points, allowing users to intuitively grasp the performance of all requests. The scatter points will be divided into four colors, corresponding to: green (normal data), yellow (warning data), orange (content error), and red (page level error). A detailed data table is shown below the figure.
The element diagram allows users to intuitively understand the overall performance of each element appearing in the monitoring task. In the element chart, the overall time-consuming loading of each element will be displayed in a waterfall chart, and the threshold can be set to filter elements with a low probability of appearing in the task. The summary breakdown chart shows the composition of the request time when executing the task in the form of a bar chart, including DNS Time, Connection Establishment Time, SSL Handshake Time, Request Time, Time to First Byte (TTFB), Content Download Time and blocking time (if any).The waterfall chart shows the time it takes to load each element in the request.
