DevOps Insights reports
Summarize
Summary of DevOps Insights reports
DevOps Insights enables ServiceNow customers to monitor and analyze the efficiency and growth of their development processes through a variety of configurable reports. Accessible from the DevOps Change Workspace, these reports provide operational and business metrics grouped by type, allowing users to track activities, KPIs, and performance trends over time via a centralized dashboard.
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Key Features
- Configurable Reports: Reports summarize key business metrics with options to drill down into detailed KPI data by selecting specific data points or date ranges.
- Filtering Capabilities: Users can apply filters beyond date ranges to customize report views, with visual indicators showing the number of active filters per report.
- Data Exploration Tools: Integration with the Performance Analytics application allows deep analysis and management of collected data.
- Data Collection Scheduling: Daily and historical data collection jobs automate the import of DevOps metrics from connected third-party tools to keep dashboards updated.
Practical Implementation
- Enable and configure the [DevOps] Daily Data Collection job (active by default) via Performance Analytics to continuously update DevOps data.
- For historical data, run the Load Change Request Repo Detail scheduler script to populate necessary tables if demo data is not imported; otherwise, this step can be skipped.
- Execute the one-time [DevOps] Historical Data Collection job to gather past metrics, ideally during low system usage due to variable execution time based on data volume.
Benefits
By leveraging DevOps Insights reports, ServiceNow customers can gain a comprehensive and customizable view of their development lifecycle performance, enabling data-driven decision making and continuous improvement of DevOps processes.
To help you plan and implement updates to your DevOps processes, DevOps Insights displays a variety of configurable reports that are grouped by type of metric. From the DevOps Change Workspace, select the DevOps Insights icon () to view the reports.
DevOps Insights
Analyze operational and business reports and to determine the overall efficiency and growth of your development processes.
- Monitor activities, KPIs, and metrics in a central dashboard.
- Track performance over time.
- View summary data broken out by bug, epic, feature, "other", story, or task.
Mining and analyzing the metrics
- By default, many reports display data for the last 30 days. Select the
Date icon (
) to configure a custom date range.
- Point to a specific data point in a chart to view detailed data.
- Select a specific data point to view the key performance indicator (KPI) details for the report in a separate tab. You can then use the powerful data-management tools in the Performance Analytics application to drill deeply into the data.
- To apply any filter other than the date filter, select the filter icon and then move filter categories from the Available list to the Applied list.
- Filters appear at the top of the tab. For each report, the Applied filter icon (
) displays the number of filters that are currently applied to a report. Select the icon to view and configure the filters that are applied to a widget.
Schedule of data collection
- Navigate to .
Configure the [DevOps] Daily Data Collection job to run as system admin.
Note:[DevOps] Daily Data Collection job is active by default and configured to run as admin user.
- Navigate to .
- Execute the Load Change Request Repo Detail scheduler script.
This job populates the Change Request Repo Detail table [sn_devops_insights_change_request_repo_detail] if you import demo data after installing the DevOps Insights application.
If you're installing demo data along with the DevOps Insights application, then there’s no need to run this job. You can directly run the [DevOps] Historical Data Collection performance analytics job to see scores.
- Navigate to .
- Execute the [DevOps] Historical Data Collection job to run as system admin.The execution time depends on the volume of data. This is a one-time task to collect historical DevOps data, and not meant to be on a schedule.Tip:Based on the time taken to complete this job, plan on running it during a period of low usage.