Monity app5/21/2023 The performance section is made up of four visuals, one on top of the other, in the middle of the page.ĭisplays the CPU usage of the selected capacity over time. However, small datasets with little CPU activity may not reflect a true picture, as they can easily show large positive or negative values. The performance delta value is a good indicator when it comes to Power BI items that have a high CPU utilization because they're heavily used or run many operations. During your investigation, don't forget to consider the CPU (s) and number of Users. Sorting the matrix by the performance delta column helps identify datasets that have had the biggest change in their performance. A value close to zero indicates that not much has changed, and a negative value suggests that the average performance of your Power BI items got worse over the past week. The higher the value is, the better the performance is likely to be. You can use the performance delta value to assess whether the average performance of your Power BI items improved or worsened over the past week. The performance delta indicates the difference between these two averages. The slow moving average is then compared to the average between the most recent data point, and a data point from seven days ago. The hourly value is used as a slow moving average over the last seven days (168 hours). To create the performance delta Power BI calculates an hourly average for all the fast operations that take under 200 milliseconds to complete. The colors in the matrix represent your performance delta: For example, 20 suggests that there's a 20% improvement today, compared with the same metric taken a week ago. The number represents the percent of change from seven days ago. Performance delta - Displays the performance effect on Power BI items. Sort to view the Power BI items that were affected the most due to overload penalty. Overloaded minutes - Displays a sum of 30 seconds increments where overloading occurred at least once. Sort to view the Power BI items that have the largest memory footprint. Users - The number of users that used the Power BI item.Īrtifact Size - The amount of memory a Power BI item needs. Sort to view the Power BI items that needed the longest processing time during the past two weeks. Sort to view the top CPUs that consumed Power BI items over the past two weeks.ĭuration (s) - Processing time in seconds. You can expand each entry to show the various operations (such as queries and refreshes) the item performed.ĬPU (s) - CPU processing time in seconds. The item name is a string with the syntax: item name \ item type \ workspace name. The colors in the table represent your performance delta.Īrtifacts - A list of Power BI items active during the selected period of time. To gain a better understanding of your capacity's performance, you can sort this table according to the parameters listed below. Users - The number of users that performed operations.Ī matrix table that displays metrics for each Power BI item on the capacity. Operations - The number of Power BI operations that took place. It shows the top results for these values per Power BI item during the past two weeks. The Multi metric column chart displays the four values listed below. Selecting each stacked column will filter the main matrix and the other visuals according to your selection. Drill down to a specific day to identify daily patterns. The top visual is a stacked column table, and below it is a matrix table.Ī stacked column table that provides an hourly view of your capacity's usage. The artifacts section is made up of two visuals, one on top of the other, in the left side of the page. It's divided into the three sections listed below.Īt the top of each page, the CapacityID field allows you to select the capacity the app shows results for. This page provides an overview of the capacity performance. Once installed, anyone in the organization with the right permissions can view the app. To install the Premium metrics app, you must be a capacity admin. The app is updated often with new features and functionalities and provides the most in-depth information into how your capacities are performing. When turning on autoscale, make sure there are no Azure policies preventing autoscale from working.
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