---
sourceDocument: Yokohama Impact
sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/yokohama/impact

 Release :

    - yokohama

ft:locale :

    - en-US

ft:publication_title :

    - Yokohama Impact

ft:clusterId :

    - ipact

bundleId :

    - ipact


---

# Review App Engine artifacts

# Review App Engine artifacts {#ariaid-title1}

* Release version: Yokohama
* 
* Updated January 30, 2025
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 minute to read

The Data Collection app contains a pre-build data metric structure for the ServiceNow Performance/Platform Analytics application.
{#dc-app-engine-installation-artifacts__table_hq1_2pv_sdc__entry__2}

| Artifact type | Description |
|-|-|
| Indicator Source | Captures the basic data sets and commits them to the working memory of the platform to provide the foundation for the calculations. This is also called a data cube. |
| Automated Indicator | Basic calculation definition on the indicator source data set, potentially with additional filter conditions that you apply before making the calculation. |
| Manual Indicator | Metric for which there is no data set within the platform. Requires you to manually add a data point. |
| Formula Indicator | A more comprehensive calculation, such as % and ratio calculations that require multiple automated indicator data points for the calculation. |
| Data Collection Jobs | One data collection job that you can schedule to run every month, and another data collector for historical collection that you can run on demand. |
| Widgets | Configuration for the UI visualization of an indicator. |
| Dashboard | Display of a collection of widgets on a pane. This dashboard contains two tabs. One tab contains widgets showing quarterly values, and the other contains widgets showing monthly values. |
[Table 1. Performance/Platform Analytics artifact types]

{#dc-app-engine-installation-artifacts__table_hq1_2pv_sdc}

## Artifacts by type {#dc-app-engine-installation-artifacts__section_x2g_zqv_sdc}

The app contains the following artifacts for each of the above-specified artifact types.
{#dc-app-engine-installation-artifacts__table_eg4_1rv_sdc__entry__2}

| Artifact type | Name |
|-|-|
| Data Collection Job | Impact VM -- App Engine - Monthly Data Collection |
| Data Collection Job | Impact VM -- App Engine - Historical Data Collection |
| Dashboard | Impact VM - App Engine |
| Widget | # of applications built by core development team (IT), using LCAP |
| Widget | # of applications (and/or services) built outside of core development team |
| Widget | Avg. time for application delivery (IT): idea to prod (weeks) |
| Widget | Avg. time for application delivery (LOB): idea to prod (weeks) |
| Widget | Former LCAP systems annual run-rate |
| Automated | Impact VM - # of applications built by core development team (IT), using LCAP |
| Automated | Impact VM - # of applications (and/or services) built outside of core development team |
| Manual | Impact VM - Avg. time for application delivery (IT): idea to prod (Weeks) |
| Manual | Impact VM - Avg. time for application delivery (LOB): idea to prod (Weeks) |
| Manual | Impact VM - Former LCAP systems run-rate |
[Table 2. Artifacts by type]

{#dc-app-engine-installation-artifacts__table_eg4_1rv_sdc}