DevOps Insights Standard dashboard - Classic

  • Release version: Yokohama
  • Updated July 31, 2025
  • 9 minutes to read
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    Summary of DevOps Insights Standard dashboard - Classic

    The DevOps Insights Standard dashboard (Classic) integrates with ServiceNow Performance Analytics to provide comprehensive visibility into your DevOps environment. It enables tracking and analysis of key DevOps metrics such as change requests, deployment frequency, lead times, incident resolution, and system health. Note that this dashboard is deprecated for new users, who are encouraged to adopt the DevOps Insights dashboard available in the DevOps Workspace.

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    To effectively collect and analyze data, scheduled jobs like [DevOps] Daily Data Collection and [DevOps] Historical Data Collection must be activated and run with System Administrator credentials. These ensure both daily and historical DevOps data are gathered for accurate reporting.

    Key Features

    • Change Acceleration Reports: Show yearly change requests, average time to close changes, approval rates for DevOps and non-DevOps change requests, pending changes by pipeline step, and volume of change requests. These help identify bottlenecks and compare DevOps versus non-DevOps performance.
    • Accelerate Metrics: Track deployment frequency, average lead time from commit to production, mean time to resolve (MTTR) incidents caused by DevOps changes, and change failure rates. These metrics provide insights into deployment efficiency and stability.
    • Operational Stability Reports: Provide service availability, incident counts, outages, and trends in MTTR and service availability. These require the Service Portfolio Management Foundation plugin and offer a view into production environment stability.
    • Development Metrics: Monitor commit frequency, average branches per repository, commits per pipeline execution, commits without work items, and work item completion status. These metrics help track developer activities and enforce best practices like linking commits to work items.
    • Commit Insights: Highlight active committers, average commits per committer, average files added per commit, percentage of commits reverted, and top committers and reverters. This provides actionable insights into code quality and developer behavior.
    • Deployments: Detail production deployment frequency, failed deployments, deployment success rate, lead times, and commit-to-deploy durations. These reports allow you to assess deployment reliability and speed.
    • System Health: Measure task execution success rate, number of task executions, and API call volumes to monitor the operational health of your DevOps tools and integrations.

    Practical Use and Considerations

    • Activate and schedule data collection jobs appropriately, favoring low-usage periods to optimize performance.
    • Understand that several widgets use average or formula-based aggregations and do not support multi-element selection, which affects filtering capabilities.
    • Service availability metrics require installation of the Service Portfolio Management Foundation plugin for full functionality and demo data visibility.
    • Use the Change Acceleration and Accelerate Metrics to compare DevOps versus non-DevOps change performance, enabling process improvement.
    • Analyze Commit Insights and Development metrics to improve code quality, developer accountability, and workflow efficiency.
    • Monitor deployment reports to ensure frequent, reliable production releases, and quickly identify failure trends for remediation.
    • Leverage System Health metrics to maintain robust DevOps tooling and integrations.

    Expected Outcomes

    By using the DevOps Insights Standard dashboard (Classic), ServiceNow customers can expect to:

    • Gain detailed, actionable visibility into DevOps change processes, deployment performance, and operational stability.
    • Identify bottlenecks in pipelines, improve change approval rates, and reduce mean time to resolve incidents.
    • Enhance developer practices through commit tracking and linking commits to work items.
    • Improve deployment frequency and success rates, accelerating delivery of value to production.
    • Maintain a stable and healthy DevOps environment by monitoring system health and service availability.
    • Make informed decisions based on comprehensive, up-to-date analytics to drive DevOps maturity.

    Use the DevOps Insights application with ServiceNow Performance Analytics to gain insight into your DevOps environment.

    Important:
    The Insights Standard dashboard is deprecated for new users. Instead, you can use the Insights dashboard from the DevOps Workspace. For more information, see DevOps Insights dashboard - Workspace
    Note:
    To collect daily or historical Insights data, unless these jobs were previously customized, you must select Active and set the Run As credentials to System Administrator:
    • [DevOps] Daily Data Collection (Daily) (active by default)
      Note:
      This is a scheduled job (to be run regularly) to collect daily DevOps data. For optimal performance, set this job to run during periods of low usage.
    • [DevOps] Historical Data Collection (On Demand) (inactive by default)
      For new DevOps Insights installations, if you have already been using the DevOps app and you Installed DevOps Insights at a later date, run the Historical Data Collection job to collect historical Insights data.
      Note:
      This is a one-time job to collect historical DevOps data, and not meant to be on a schedule. It might take awhile, so plan on running this job during a period of low usage.

    Reports in the dashboard tabs get updated when the dashboard is refreshed.

    Change Acceleration

    DevOps Insights standard
    Table 1. Change Acceleration
    Report Source list Description
    Total Changes Submitted - Yearly Change Request Total DevOps changes submitted yearly.
    Avg Time to Close - Last 30 days Change Request

    Average time to close DevOps changes in the last 30 days.

    Note:
    This widget uses average aggregation and does not support multi-element selection.
    Change Approval Rate - Last 30 days Change Request

    DevOps average change success rate for change requests in the last 30 days:

    ([[DevOps Change Success]] / [[DevOps Change]]) * 100

    Note:
    This widget uses average aggregation and does not support multi-element selection.
    Non-DevOps Change Approval Rate - Last 30 days Change Request

    Non- DevOps change approval rate for change requests in the last 30 days:

    ([[Non-DevOps Change Approval]] / [[Non-DevOps Change]]) * 100

    Note:
    Filter is not applicable to this widget.
    Change Request Volume Change Request

    Volume of change requests created for DevOps in the last 7 days.

    Compare the number of change requests created after your transition to DevOps so you can see the advantage of running DevOps in your environment.
    Pending Changes per Pipeline Step Execution

    Number of change requests that have not been closed for each pipeline.

    See the blockages in each pipeline that are keeping the change request from being completed so you can investigate the cause.
    Average Time to Close Changes Change Request

    Average time to close DevOps changes by app.

    Compare DevOps change request statistics with non- DevOps change requests to see that DevOps change requests are getting resolved faster.
    Changes Awaiting Approval Change Request

    Number of DevOps changes awaiting approval by date range.

    Compare DevOps change request statistics with non- DevOps change requests to see that DevOps change requests are getting resolved faster.
    Non-DevOps Changes Awaiting Approval Change Request

    Number of Non-DevOps changes awaiting approval by date range.

    Compare DevOps change request statistics with non- DevOps change requests to see that DevOps change requests are getting resolved faster.

    Accelerate Metrics

    The Accelerate Metrics tab shows deployment frequency, lead time, MTTR, and change failure rate info.

    DevOps Insights accelerate metrics
    Table 2. Accelerate Metrics
    Report Source list Description
    Deployment Frequency - Monthly Step Execution

    Number of successful production deployments in a month.

    Applies to steps of type Prod Deploy that are in completed state.
    Average Lead Time Pipeline Execution

    Average of:

    ([Time the code is successfully pushed to production] - [Earliest commit time])

    Applies to steps of type Prod Deploy that are in completed state.

    Note:
    This widget uses average aggregation and does not support multi-element selection.
    Mean Time to Resolve - Last 30 days Database view joined by Incident, Change Request, Step Execution, Step, Pipeline, and App lists.

    Average resolve time for an incident caused by a DevOps change in the last 30 days.

    Note:
    This widget uses average aggregation and does not support multi-element selection.
    Change Failure Rate - Monthly Change Request

    Average change failure rate in a month.

    Note:
    This widget uses formula and does not support multi-element selection.
    Deployment Frequency Step Execution

    Number of successful production deployments in the last 30 days.

    Applies to steps of type Prod Deploy that are in completed state.
    Change Failure Rate Change Request

    Average change failure rate in the last 30 days.
    Mean Time to Resolve Trend Database view joined by Incident, Change Request, Step Execution, Step, Pipeline, and App lists. Daily average resolve time for an incident caused by a DevOps change.
    Lead Time Pipeline Execution

    ([Time the code is successfully pushed to production] - [Earliest commit time])

    Applies to steps of type Prod Deploy that are in completed state.

    Note:
    This widget uses average aggregation and does not support multi-element selection.

    Operational Stability

    The Operational Stability tab shows:
    • Service availability

      Average service availability and daily service availability.

    • Mean time to resolve (MTTR)

      Mean time to resolve and daily mean time to resolve.

    Note:
    You must install the Service Portfolio Management Foundation (com.snc.service_portfolio) plugin to see service availability widgets.
    Demo data is also provided for the service availability widgets.
    Note:
    You must install the Service Portfolio Management Foundation (com.snc.service_portfolio) plugin before installing the DevOps Insights application to see demo data.
    DevOps Insights Stability tab
    Table 3. Operational Stability
    Report Source list Description
    Mean Time to Resolve - Last 30 days Database view joined by Incident, Change Request, Step Execution, Step, Pipeline, and App lists.

    Average resolve time for an incident caused by a DevOps change in the last 30 days.

    Note:
    This widget uses average aggregation and does not support multi-element selection.
    Incidents - Monthly Incident

    Number of incidents in a month (based on pipeline steps of type Prod Deploy) linked to business service in CMDB.

    This report provides an indication of environment stability.
    Average Service Availability - Last 30 days Database view joined by Service Availability, Service Offering, Business Service, Step, Pipeline, and App lists.

    Average service availability in the last 30 days (based on pipeline steps of type Prod Deploy) linked to application service in CMDB.

    This report provides an indication of environment stability.
    Outages - Monthly Outage

    Number of outages in a month (based on pipeline steps of type Prod Deploy) linked to the associated business service in CMDB.

    This report provides an indication of environment stability.
    Mean Time to Resolve Trend Database view joined by Incident, Change Request, Step Execution, Step, Pipeline, and App lists. Daily average resolve time for an incident caused by a DevOps change.
    Service Availability Trend Database view joined by Service Availability, Service Offering, Business Service, Step, Pipeline, and App lists.

    Daily average service availability (based on pipeline steps of type Prod Deploy) linked to application service in CMDB.

    This report provides an indication of environment stability.
    Incidents Trend Incident

    Daily number of incidents (based on pipeline steps of type Prod Deploy) linked to business service in CMDB.

    This report provides an indication of environment stability.
    Outage Trend Outage

    Daily number of outages (based on pipeline steps of type Prod Deploy) linked to business service in CMDB.

    This report provides an indication of environment stability.

    Development

    DevOps Insights standard tab3
    Table 4. Development
    Report Source list Description
    Commit Frequency Commit

    Number of commits measured daily.

    Smaller more frequent commits are preferred over larger less frequent ones.
    Average Branches per Repository Branches, Repository

    Average branches per repository on a given day.

    Note:
    This widget uses formula and does not support multi-element selection.
    Average Commits per Pipeline Execution Commit, Pipeline Execution

    Average commits per pipeline on in the last 30 days:

    [[Total number of commits]] / [[Number of pipeline executions]]

    Note:
    This widget uses average aggregation and does not support multi-element selection.

    A low number is preferable, which indicates a concentrated effort, versus switching from task to task without completion.
    Commits without Work Item Commit

    Commits made that are not tied to a work item, grouped by committer, in the last 30 days.

    This report is useful for investigating and resolving why a commit is not tied to a work item, because all commits should be tied to a work item.
    Work Items Work Item

    Number of work items that are complete or working in progress in the last 30 days.

    Note:
    Filter is not applicable to this widget.

    Commit Insights

    CommitInsightsStandard
    Table 5. Commit Insights
    Report Source list Description
    Active Committers Commit

    Committers that submitted commits in the last 30 days.

    Shows how many active committers there are.

    Note:
    This widget uses count distinct aggregation and does not support multi-element selection.
    Average Commits per Committer Commit

    Total number of commits in the last 30 days / Active committers.

    Shows how often committers are committing. A higher value is more favorable.

    Note:
    This widget uses formula and does not support multi-element selection.
    Average Files Added per Commit Commit, Commit Details

    Total number of files added in the last 30 days / Total number of commits in the last 30 days.

    Shows how few files are committed at a time. A lower value is more favorable.

    Note:
    This widget uses formula and does not support multi-element selection.
    % Commits Reverted Commit

    Commits reverted in the last 30 days / Total number of commits in the last 30 days.

    Shows how many commits have been reverted. A lower value is more favorable.

    Note:
    This widget uses formula and does not support multi-element selection.
    Top Committers Commit

    Committers with the highest number of commits in the last 30 days.

    Provides visibility into the users that commit the most.
    Top Reverters Commit Committers with the highest number of reverts in the last 30 days.

    Provides visibility into the users that revert commits the most.
    Commits Added per App Commit, Commit Details

    Number of commits added per app in the last 30 days.

    Provides visibility into the development activity for each app.

    Note:
    Filter is not applicable to this widget.

    Deployments

    InsightsDeploymentStandard
    Deployment frequency lets you know how often you are delivering value based on production deployments. Typically, more frequent deployments are desired.
    Note:
    Metrics are based off production deployments (Type field is set to Prod Deploy in the app step).
    Table 6. Deployments
    Report Source list Description
    Deployment Frequency - Monthly Step Execution

    Number of successful production deployments in a month.

    Applies to steps of type Prod Deploy that are in completed state.
    Failed Deployments Step Execution

    Number of failed production deployments in the last 30 days.

    Applies to steps of type Prod Deploy that are in failed or user-canceled state.
    Deployment Success Rate Step Execution

    Deployments success rate over the last 30 days.

    Deployment Success Rate = (Number of Successful Deployments in the last 30 days / Total Number of Deployments in the last 30 days) * 100

    Applies to steps of type Prod Deploy in completed state.

    Note:
    This widget uses formula and does not support multi-element selection.
    Average Lead Time Pipeline Execution

    Average of:

    ([Time the code is successfully pushed to production] - [Earliest commit time])

    Applies to steps of type Prod Deploy that are in completed state.

    Note:
    This widget uses average aggregation and does not support multi-element selection.
    Successful Production Deployments Step Execution

    Frequency of successful production deployments over time broken down by app.

    More frequent production deployments are preferred.
    Failed Production Deployments Step Execution

    Frequency of failed production deployments over time broken down by app.
    Commit-to-Deploy Lead Time Pipeline Execution

    Duration from the earliest commit time to production deployment (for a successful pipeline execution).

    Minimizing the time it takes from committing code to successfully running it in production is preferable.

    When the lead time is high, you can investigate the pipeline to identify the slowest steps. For example, a manual change approval process could increase lead time.

    System Health

    DevOps Insights standard tab2
    Table 7. System Health
    Report Source list Description
    Task Execution Success Rate Task Executions

    Success rate for tasks run by the execution tools over time:

    [[Task Execution Success]] / [[Task Execution]] * 100

    Note:
    This widget does not support multi-element selection.
    Number of Task Executions Task Executions

    Default number of tasks executions in the last 30 days.
    Number of API calls Event

    Default number of API calls in the last 30 days.

    Note:
    Filter is not applicable to this widget.