DevOps Insights Standard dashboard - Classic

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

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.

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.

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

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

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

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

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.