mirror of https://github.com/docker/docs.git
Merge pull request #17047 from ChrisChinchilla/chrisward/dvp
Small tweaks to DVP content
This commit is contained in:
commit
fe750fef5c
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@ -25,3 +25,6 @@ Swarm Mode
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[Mm]oby
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[Mm]oby
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dockerd
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dockerd
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dockerignore
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dockerignore
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Docker Hub Vulnerability Scanning
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Docker Vulnerability Scanning
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Basic vulnerability scanning
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@ -20,7 +20,7 @@ redirect_from:
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---
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---
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The Verified Publisher Program provides several features and benefits to Docker
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The Verified Publisher Program provides several features and benefits to Docker
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Hub publishers. The following perks are granted based on participation tier:
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Hub publishers. The program grants the following perks based on participation tier:
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- Verified publisher badge
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- Verified publisher badge
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- Insights and analytics
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- Insights and analytics
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@ -32,8 +32,8 @@ Hub publishers. The following perks are granted based on participation tier:
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## Verified publisher badge
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## Verified publisher badge
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The verified publisher badge signals high quality, and trust, to developers.
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The verified publisher badge signals high quality, and trust, to developers.
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Images with this badge are verified as high quality, and the content can be
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trusted.
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Images from publishers with this badge are verified as high quality, and that users can trust the content.
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@ -46,17 +46,18 @@ behavior.
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Select the time span you want to view analytics data, and export the data in
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You can use the view to select the time span you want to view analytics data and export the data in
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either a summary or raw format. The summary format shows you image pulls per
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either a summary or raw format.
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tag, and the raw format lists information about every image pull for the
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selected time span. Data points include tag, type of pull, user geolocation,
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The summary format shows image pulls per tag, and the raw format lists information about every image pull for the
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client tool (user agent), and more.
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selected time span. Data points include tag, type of pull, user geolocation, client tool (user agent), and more.
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## Vulnerability scanning
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## Vulnerability scanning
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Automatic vulnerability scanning for images published to Docker Hub.
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[Docker Scout](/scout/){:
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Scanning images ensures that the published content is secure, and underlines to
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target="blank" rel="noopener" class=""} provides automatic vulnerability scanning for DVP images published to Docker Hub.
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developers that it can be trusted. Scanning can be enabled on a per-repository
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Scanning images ensures that the published content is secure, and proves to
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developers that they can trust the image. You can enable scanning on a per-repository
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basis, refer to [vulnerability scanning](/docker-hub/vulnerability-scanning/){:
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basis, refer to [vulnerability scanning](/docker-hub/vulnerability-scanning/){:
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target="blank" rel="noopener" class=""} for more information about how to use
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target="blank" rel="noopener" class=""} for more information about how to use
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it.
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it.
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@ -4,29 +4,29 @@ description: Provides usage statistics of your images on Docker Hub.
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keywords: docker hub, hub, insights, analytics, api, verified publisher
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keywords: docker hub, hub, insights, analytics, api, verified publisher
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---
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---
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Insights and analytics provides usage analytics for your Docker Verified
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Insights and analytics provides usage analytics for Docker Verified
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Publisher (DVP) images on Docker Hub. With this tool, you have self-serve access
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Publisher (DVP) images on Docker Hub, providing self-serve access
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to metrics as both raw data and summary data for a desired time span. You can
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to metrics as both raw data and summary data for a desired time span. You can
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view number of image pulls by tag or by digest, and get breakdowns by
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view number of image pulls by tag or by digest, and get breakdowns by
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geolocation, cloud provider, client, and more. Head to the
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geolocation, cloud provider, client, and more.
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Head to the
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[Docker Verified Publisher Program page](https://www.docker.com/partners/programs/){: target="blank" rel="noopener" class="_" }
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[Docker Verified Publisher Program page](https://www.docker.com/partners/programs/){: target="blank" rel="noopener" class="_" }
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to learn more about the benefits of becoming a verified publisher.
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to learn more about the benefits of becoming a verified publisher.
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## View the analytics data
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## View the analytics data
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Analytics data for your repositories is available on the **Insights and
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You can find analytics data for your repositories on the **Insights and
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analytics** dashboard at the following URL:
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analytics** dashboard at the following URL:
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`https://hub.docker.com/orgs/{namespace}/insights`. The dashboard contains a
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`https://hub.docker.com/orgs/{namespace}/insights`. The dashboard contains a
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chart visualization of the usage data, as well as a table where you can download
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visualization of the usage data and a table where you can download
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the data as CSV files.
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the data as CSV files.
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To view data in the chart:
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To view data in the chart:
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- Select the data granularity: weekly or monthly
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- Select the data granularity: weekly or monthly
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- Select the time interval: 3, 6, or 12 months
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- Select the time interval: 3, 6, or 12 months
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- Select one or more repositories in the list.
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- Select one or more repositories in the list
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You can filter the list by repository name.
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@ -37,18 +37,17 @@ To view data in the chart:
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> for points in time.
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> for points in time.
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{: .tip }
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{: .tip }
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### Share
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### Share analytics data
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You can share the visualization chart with others using the share icon located
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You can share the visualization with others using the share icon above the chart.
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just above the chart:
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This is a convenient way to share statistics with others in your organization.
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Selecting the icon generates a link that gets copied to your clipboard. The link
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Selecting the icon generates a link that's copied to your clipboard. The link
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preserves the display selections you've made. When someone uses the link, the
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preserves the display selections you made. When someone follows the link, the
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**Insights and analytics** page opens and displays the chart with the same
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**Insights and analytics** page opens and displays the chart with the same
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configuration as you had set up when creating the link. This is a convenient way
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configuration as you had set up when creating the link.
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to quickly share statistics with others in your organization.
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## Exporting analytics data
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## Exporting analytics data
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@ -61,10 +60,9 @@ Sunday) or monthly format. Monthly data is available from the first day of the
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following calendar month. You can import this data into your own systems, or you
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following calendar month. You can import this data into your own systems, or you
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can analyze it manually as a spreadsheet.
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can analyze it manually as a spreadsheet.
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### Export data using the website
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### Export data
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Here's how to export usage data for your organization's images using the Docker
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Export usage data for your organization's images using the Docker Hub website by following these steps:
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Hub website.
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1. Sign in to [Docker Hub](https://hub.docker.com/){: target="_blank"
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1. Sign in to [Docker Hub](https://hub.docker.com/){: target="_blank"
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rel="noopener" class="_"} and select **Organizations**.
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rel="noopener" class="_"} and select **Organizations**.
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@ -103,7 +101,7 @@ represents an image pull.
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| Data point | Description | Date added |
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| Data point | Description | Date added |
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| ----------------------------- | ------------------------------------------------------------------------------------------------------------ | ----------------- |
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| ----------------------------- | ------------------------------------------------------------------------------------------------------------ | ----------------- |
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| Action | Request type, see [Action classification rules][1]. One of `pull_by_tag`, `pull_by_digest`, `version_check`. | January 1, 2022 |
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| Action | Request type, see [Action classification rules][1]. One of `pull_by_tag`, `pull_by_digest`, `version_check`. | January 1, 2022 |
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| Action day | The date part of the timestamp: `YYYY-MM-DD` | January 1, 2022 |
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| Action day | The date part of the timestamp: `YYYY-MM-DD`. | January 1, 2022 |
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| Country | Request origin country. | January 1, 2022 |
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| Country | Request origin country. | January 1, 2022 |
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| Digest | Image digest. | January 1, 2022 |
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| Digest | Image digest. | January 1, 2022 |
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| HTTP method | HTTP method used in the request, see [registry API documentation][2] for details. | January 1, 2022 |
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| HTTP method | HTTP method used in the request, see [registry API documentation][2] for details. | January 1, 2022 |
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@ -112,8 +110,8 @@ represents an image pull.
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| Reference | Image digest or tag used in the request. | January 1, 2022 |
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| Reference | Image digest or tag used in the request. | January 1, 2022 |
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| Repository | Docker [repository][4] (image name). | January 1, 2022 |
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| Repository | Docker [repository][4] (image name). | January 1, 2022 |
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| Tag (included when available) | Tag name that's only available if the request referred to a tag. | January 1, 2022 |
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| Tag (included when available) | Tag name that's only available if the request referred to a tag. | January 1, 2022 |
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| Timestamp | Date and time of the request: `YYYY-MM-DD 00:00:00` | January 1, 2022 |
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| Timestamp | Date and time of the request: `YYYY-MM-DD 00:00:00`. | January 1, 2022 |
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| Type | The industry from which the event originates. One of `business`, `isp`, `hosting`, `education`, `null` | January 1, 2022 |
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| Type | The industry from which the event originates. One of `business`, `isp`, `hosting`, `education`, `null`. | January 1, 2022 |
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| User agent tool | The application a user used to pull an image (for example, `docker` or `containerd`). | January 1, 2022 |
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| User agent tool | The application a user used to pull an image (for example, `docker` or `containerd`). | January 1, 2022 |
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| User agent version | The version of the application used to pull an image. | January 1, 2022 |
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| User agent version | The version of the application used to pull an image. | January 1, 2022 |
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| Domain | Request origin domain, see [Privacy](#privacy). | October 11, 2022 |
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| Domain | Request origin domain, see [Privacy](#privacy). | October 11, 2022 |
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@ -164,16 +162,16 @@ target="_blank" rel="noopener" class="_"}.
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| Starting event | Reference | Followed by | Resulting action | Use case(s) | Notes |
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| Starting event | Reference | Followed by | Resulting action | Use case(s) | Notes |
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| :------------- | :-------- | :-------------------------------------------------------------- | :--------------- | :------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| :------------- | :-------- | :-------------------------------------------------------------- | :--------------- | :------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| HEAD | tag | N/A | Version check | User already has all layers existing on local machine | This is similar to the use case of a pull by tag when the user already has all the image layers existing locally, however, we are able to differentiate the user intent and classify accordingly. |
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| HEAD | tag | N/A | Version check | User already has all layers existing on local machine | This is similar to the use case of a pull by tag when the user already has all the image layers existing locally, however, it differentiates the user intent and classifies accordingly. |
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| GET | tag | N/A | Pull by tag | User already has all layers existing on local machine and/or the image is single-arch |
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| GET | tag | N/A | Pull by tag | User already has all layers existing on local machine and/or the image is single-arch |
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| GET | tag | Get by different digest | Pull by tag | Image is multi-arch | Second GET by digests must be different from the first |
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| GET | tag | Get by different digest | Pull by tag | Image is multi-arch | Second GET by digest must be different from the first. |
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| HEAD | tag | GET by same digest | Pull by tag | Image is multi-arch but some or all image layers already exist on the local machine. | The HEAD by tag will send the most current digest, the following GET must be by that same digest. There may occur an additional GET, if the image is multi-arch (see the next row in this table). If the user doesn't want the most recent digest, then the user would perform HEAD by digest. |
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| HEAD | tag | GET by same digest | Pull by tag | Image is multi-arch but some or all image layers already exist on the local machine | The HEAD by tag sends the most current digest, the following GET must be by that same digest. There may occur an additional GET, if the image is multi-arch (see the next row in this table). If the user doesn't want the most recent digest, then the user performs HEAD by digest. |
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| HEAD | tag | GET by the same digest, then a second GET by a different digest | Pull by tag | Image is multi-arch | The HEAD by tag will send the most recent digest, the following GET must be by that same digest. Since the image is multi-arch, there is a second GET by a different digest. If the user doesn't want the most recent digest, then the user would perform HEAD by digest. |
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| HEAD | tag | GET by the same digest, then a second GET by a different digest | Pull by tag | Image is multi-arch | The HEAD by tag sends the most recent digest, the following GET must be by that same digest. Since the image is multi-arch, there is a second GET by a different digest. If the user doesn't want the most recent digest, then the user performs HEAD by digest. |
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| HEAD | tag | GET by same digest, then a second GET by different digest | Pull by tag | Image is multi-arch | The HEAD by tag will send the most current digest, the following GET must be by that same digest. Since the image is multi-arch, there is a second GET by a different digest. If the user doesn't want the most recent digest, then the user would perform HEAD by digest. |
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| HEAD | tag | GET by same digest, then a second GET by different digest | Pull by tag | Image is multi-arch | The HEAD by tag sends the most current digest, the following GET must be by that same digest. Since the image is multi-arch, there is a second GET by a different digest. If the user doesn't want the most recent digest, then the user performs HEAD by digest. |
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| GET | digest | N/A | Pull by digest | User already has all layers existing on local machine and/or the image is single-arch |
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| GET | digest | N/A | Pull by digest | User already has all layers existing on local machine and/or the image is single-arch |
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| HEAD | digest | N/A | Pull by digest | User already has all layers existing on their local machine. |
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| HEAD | digest | N/A | Pull by digest | User already has all layers existing on their local machine |
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| GET | digest | GET by different digest | Pull by digest | Image is multi-arch | The second GET by digest must be different from the first |
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| GET | digest | GET by different digest | Pull by digest | Image is multi-arch | The second GET by digest must be different from the first. |
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| HEAD | digest | GET by same digest | Pull by digest | Image is single arch and/or image is multi-arch but some part of the image already exists on the local machine |
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| HEAD | digest | GET by same digest | Pull by digest | Image is single-arch and/or image is multi-arch but some part of the image already exists on the local machine |
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| HEAD | digest | GET by same digest, then a second GET by different digest | Pull by Digest | Image is multi-arch |
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| HEAD | digest | GET by same digest, then a second GET by different digest | Pull by Digest | Image is multi-arch |
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## Changes in data over time
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## Changes in data over time
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@ -200,11 +198,11 @@ consumers of content on Docker Hub remain completely anonymous.
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> analytics data.
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> analytics data.
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{: .important }
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{: .important }
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The summary dataset includes Unique IP address count. This data point only
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The summary dataset includes unique IP address count. This data point only
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includes the number of distinct unique IP addresses that request an image.
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includes the number of distinct unique IP addresses that request an image.
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Individual IP addresses are never shared.
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Individual IP addresses are never shared.
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The raw dataset includes user IP domains as a data point. That's the domain name
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The raw dataset includes user IP domains as a data point. This is the domain name
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associated with the IP address used to pull an image. If the IP type is
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associated with the IP address used to pull an image. If the IP type is
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`business`, the domain represents the company or organization associated with
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`business`, the domain represents the company or organization associated with
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that IP address (for example, `docker.com`). For any other IP type that's not
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that IP address (for example, `docker.com`). For any other IP type that's not
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