> For the complete documentation index, see [llms.txt](https://developer.harness.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://developer.harness.io/harness-platform/3.0/harness-platform-resources/harness-dashboards/dashboard-legacy/pipeline-insights-field-reference.md). # Pipeline Insights Field Reference Pipeline Insights offers a comprehensive set of data fields that organizations can use to construct sophisticated dashboards, generate detailed reports, and perform advanced analytics on their CI/CD pipeline metrics. ### Overview {% hint style="info" %} The Step Executions explore has been deprecated. Please use Step Executions v2 instead. Dashboards using the old Step Executions explore will continue to function; however, we strongly recommend switching to Step Executions v2, which displays all executed steps rather than only six selected steps. {% endhint %} Pipeline Insights provides three main data explores: * **Pipeline Executions**: High-level pipeline run data * **Stage Executions**: Individual stage performance within pipelines * **Step Executions v2**: Granular step-level execution details Each explore contains **Dimensions** (attributes for grouping and filtering) and **Measures** (calculated metrics for analysis). ### Pipeline Executions Track overall pipeline performance, success rates, and execution patterns. #### Dimensions | Field | Description | | ----------------- | --------------------------------------------------------------------------------- | | **Duration** | Total time taken for the pipeline execution | | **End Time** | When the pipeline finished (available as date, month, quarter, time, year, week) | | **Error Message** | Error details for failed pipeline runs | | **Execution ID** | Unique identifier for each pipeline execution | | **Name** | Pipeline name | | **Pipeline ID** | Unique identifier for the pipeline definition | | **Pipeline URL** | Direct link to the pipeline in Harness UI | | **Start Time** | When the pipeline run began (available as date, month, quarter, time, year, week) | | **Status** | Execution outcome (Success, Failed, etc.) | #### Measures | Field | Description | | ----------------------- | ----------------------------------------------------------------------------------------------------------------- | | **Duration** | Statistical analysis of execution times (Average, 10th, 25th, 75th, 80th, 90th, 95th percentiles) | | **Execution Count** | Total number of pipeline executions in the selected time period | | **Failure Rate** | Percentage of executions that failed (includes Failed, Aborted, Rejected, Error, Expired, Discontinuing statuses) | | **Last Execution Time** | Most recent execution timestamp for the pipeline | | **Success Rate** | Percentage of executions that completed successfully | *** ### Stage Executions Analyze individual stage performance within your pipelines. #### Dimensions | Field | Description | | ----------------------- | ------------------------------------------------------------------------------------ | | **Duration** | Time taken for the stage execution | | **End Time** | When the stage completed (available as date, month, quarter, time, year, week) | | **Execution ID** | Unique identifier for the stage execution | | **Is Evaluated** | Whether conditional evaluation was performed (Yes/No) | | **Is Input Configured** | Whether the stage had configured input parameters (Yes/No) | | **Is Rollback** | Whether this is a rollback stage (Yes/No) | | **Name** | Stage display name | | **Pipeline ID** | Parent pipeline identifier | | **Pipeline Status** | Status of the parent pipeline after this stage | | **Stage ID** | Unique identifier for the stage definition | | **Start Time** | When the stage began execution (available as date, month, quarter, time, year, week) | | **Status** | Stage execution outcome (Succeeded, Failed, etc.) | | **Type** | Stage category (Approval, Deployment, Custom, etc.) | | **When Condition** | Conditional logic that determined if the stage should run | #### Measures | Field | Description | | ----------------------- | ----------------------------------------------------------------------------------------------------------------------- | | **Duration** | Statistical analysis of stage execution times (Average, 10th, 25th, 75th, 80th, 90th, 95th percentiles) | | **Execution Count** | Total number of stage executions | | **Failure Rate** | Percentage of stage executions that failed (includes Failed, Aborted, Rejected, Error, Expired, Discontinuing statuses) | | **Last Execution Time** | Most recent stage execution timestamp | | **Stage Count** | Number of stages across all pipeline runs in the selected scope | | **Success Rate** | Percentage of stage executions that completed successfully | | **Total Pipeline Runs** | Total pipeline executions in the selected scope (useful for context and normalization) | *** ### Step Executions Examine detailed step-level execution data for granular analysis. #### Dimensions | Field | Description | | ---------------------- | ----------------------------------------------------------------------------------- | | **Duration** | Time taken for the individual step execution | | **End Time** | When the step completed (available as date, month, quarter, time, year, week) | | **Execution ID** | Unique identifier for the step execution | | **Name** | Step display name | | **Pipeline ID** | Parent pipeline identifier (for tracing back to pipeline level) | | **Stage Execution ID** | Parent stage execution identifier | | **Start Time** | When the step began execution (available as date, month, quarter, time, year, week) | | **Status** | Step execution outcome (Success, Failed, Skipped, etc.) | | **Step ID** | Unique identifier for the step definition | | **Type** | Step category (script, plugin, approval, etc.) | #### Measures | Field | Description | | ----------------------- | ---------------------------------------------------------------------------------------------------------------------- | | **Duration** | Statistical analysis of step execution times (Average, 10th, 25th, 75th, 80th, 90th, 95th percentiles) | | **Execution Count** | Total number of step executions in the selected scope | | **Failure Rate** | Percentage of step executions that failed (includes Failed, Aborted, Rejected, Error, Expired, Discontinuing statuses) | | **Last Execution Time** | Most recent step execution timestamp | | **Step Count** | Total number of steps across all pipelines (useful for aggregate analysis) | | **Success Rate** | Percentage of step executions that completed successfully | *** ### Account Context Fields These fields provide organizational context and are available across all explores. | Field | Description | | ------------------- | ------------------------------------------- | | **Account ID** | Your Harness account identifier | | **Organization ID** | Organization identifier within your account | | **Project ID** | Project identifier for scoping data | *** ### Usage Tips * **Time-based Analysis**: Use Start Time and End Time dimensions with different granularities (date, week, month, quarter, year) for trend analysis * **Performance Monitoring**: Combine Duration measures with percentile breakdowns to identify performance outliers * **Success Tracking**: Use Success Rate and Failure Rate measures to monitor pipeline reliability * **Hierarchical Analysis**: Link Pipeline ID → Stage Execution ID → Step Execution ID to drill down from high-level trends to specific issues * **Filtering**: Use Status dimensions to focus on specific execution outcomes * **Comparative Analysis**: Use Execution Count measures to understand volume patterns across different time periods ### Related Resources * [Harness Pipeline Documentation](https://developer.harness.io/docs/platform/pipelines/) * [Dashboard Creation Guide](/harness-platform/3.0/in-harness-3.0/dashboards.md) * [CCM Analytics Example](https://developer.harness.io/docs/cloud-cost-management/use-ccm-cost-reporting/use-ccm-dashboards/ccm-explore/)