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Release 22.11.2022
* Cloud Backup: added an article about connecting Compute Cloud VMs to Cloud Backup. * Data Transfer: added an article to the Troubleshooting guide * Glossary: added articles for the GPU, Rest API, and MQTT broker * Translations updated. * Fixes and improvements.
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‎en/_includes/compute/software-accelerated-network.md

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{% note warning %}
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This functionality is only available when agreed upon by your account manager.
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This functionality is only available when agreed by your account manager.
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{% endnote %}
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[The cost](../../compute/pricing.md#software-accelerated-network) of additional hardware resources depends on the [platform](../../compute/concepts/vm-platforms.md) and the number of VM cores.
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To enable a software-accelerated network, [update the settings](../../compute/operations/vm-control/vm-update-resources.md#enable-software-accelerated-network) of the existing VM or select the **Software-accelerated network** option when [creating a new VM](../../compute/operations/vm-create/create-linux-vm.md).
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To enable a software-accelerated network, [update the settings](../../compute/operations/vm-control/vm-update-resources.md#enable-software-accelerated-network) of the existing VM or select the **Software-accelerated network** option when [creating a new VM](../../compute/operations/vm-create/create-linux-vm.md).

‎en/_includes/data-transfer/fields/common/ui/json-schema-sample.md

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{% cut "Sample data schema" %}
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```json
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[
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{
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"name": "request",
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"type": "string"
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}
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]
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```
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{% endcut %}

‎en/_includes/data-transfer/kf-yds-evhub-additional-settings.md

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* **Transformation rules**
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The rules used by Cloud Function to process an incoming stream:
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{% endnote %}
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* **Conversion rules**:
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* **Data format**: Select one of the available formats:
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* `JSON`
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* `CSV`
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* **Data schema**: Specify the schema as a list of fields or upload a file with a description of the schema in JSON format.
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{% include notitle[json-schema-sample](fields/common/ui/json-schema-sample.md) %}
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* **Add unmarked columns**: Select this option to have the fields missing in the schema appear in the `_rest` column.
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* **Allow null in key columns**: Select this option to allow the `null` value in key columns.

‎en/_includes/datasphere/download-data.md

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You can upload small amounts of data (up to 100 MB) to your {{ ml-platform-name }} project over the {{ jlab }}Lab interface. If you want to upload larger amounts of data, use your network storages or databases. For larger data volumes, it's also convenient to use [datasets](../../datasphere/concepts/dataset.md).
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To upload data to your project over the {{ jlab }}Lab interface:
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1. Under the ![folder](../../_assets/datasphere/jupyterlab/folder.svg) **File Browser** section, select the directory to upload a data to.
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1. Click ![upload](../../_assets/datasphere/jupyterlab/upload.svg) at the top left.
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1. Select the files to upload.
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[Learn more about project storage](../../datasphere/concepts/project.md#storage).
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{{ ml-platform-name }} lets you upload data from different sources:
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* [{#T}](../../datasphere/operations/data/connect-to-s3.md).
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* [{#T}](../../datasphere/operations/data/connect-to-google-drive.md).
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* [{#T}](../../datasphere/operations/data/connect-to-clickhouse.md).
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* [{#T}](../../datasphere/operations/data/connect-to-postgresql.md).
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You can upload small amounts of data (up to 100 MB) to your {{ ml-platform-name }} project through the {{ jlab }}Lab interface. If you want to upload larger amounts of data, use your network storages or databases. For larger data volumes, it's also convenient to use [datasets](../../datasphere/concepts/dataset.md).
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To upload data to your project through the {{ jlab }}Lab interface:
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1. Under the ![folder](../../_assets/datasphere/jupyterlab/folder.svg) **File Browser** section, select the directory to upload a data to.
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1. Click ![upload](../../_assets/datasphere/jupyterlab/upload.svg) at the top left.
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1. Select the files to upload.
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[Learn more about project storage](../../datasphere/concepts/project.md#storage).
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{{ ml-platform-name }} lets you upload data from different sources:
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* [{#T}](../../datasphere/operations/data/connect-to-s3.md).
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* [{#T}](../../datasphere/operations/data/connect-to-google-drive.md).
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* [{#T}](../../datasphere/operations/data/connect-to-clickhouse.md).
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* [{#T}](../../datasphere/operations/data/connect-to-postgresql.md).
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* [{#T}](../../datasphere/operations/data/connect-to-ya-disk.md).

‎en/_includes/datasphere/migration/release-notes-old.md

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{% note tip %}
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To keep up to date with the latest changes and updates, subscribe to our [{{ ml-platform-full-name }} Community](https://t.me/yandex_datasphere) Telegram news channel.
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{% endnote %}
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## Release 11.01.2022 {#110122}
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1. Added new computing resource configurations:

‎en/_includes/datasphere/public-talks.md

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# Public materials about {{ ml-platform-name }}
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## Conferences and webinars {#conf-and-webinars}
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### 2022: Yandex Scale {#yandex-scale-2022}
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* {{ ml-platform-full-name }}: new UI and team-based ML development capabilities.
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* [Recorded broadcast](https://youtu.be/xzEW5g7WVd4).
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### 2022: Announcement {#announcement-2022}
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* New version 2.0 of {{ ml-platform-full-name }} service for machine learning developers.
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* [Recorded broadcast](https://youtu.be/Mhjkh386Ajw).
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### 2021: Yandex Scale {#yandex-scale-2021}
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* Cloud generation of laptops: from exercise books to the data realm.
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* [Recorded broadcast](https://youtu.be/vKLqfcKXRo8).
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* Recommendation system powered by {{ ml-platform-short-name }}.
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* [Recorded broadcast](https://youtu.be/oavkOOJMVK8).
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* Cloud tools for ML developers, Igor Kuralionok.
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* [Recorded broadcast](https://youtu.be/euqmLppB4f0).
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### 2021: Meetup {#meetup-2021}
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* about:cloud — ML&AI.
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* [Recorded broadcast](https://youtu.be/qWO2P0Mc_Bc).
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### 2021: Webinar {#webinar-2021}
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* Webinar about new {{ ml-platform-short-name }} features for ML development.
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* [Recorded broadcast](https://youtu.be/udZcoKwb6aM).
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### 2021: Workshop {#workshop-2021}
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* Creating a chat QA assistant using {{ ml-platform-full-name }}.
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* [Recorded broadcast](https://youtu.be/fHQAT6rYO7c).
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### 2020: Yandex Scale {#yandex-scale-2020}
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* Presentation on {{ ml-platform-short-name }} technicalities at Yandex Scale 2020.
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* [Recorded broadcast](https://youtu.be/5y2-x9GcITs).
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* Presentation on {{ ml-platform-short-name }} features at Yandex Scale 2020.
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* [Recorded broadcast](https://youtu.be/MtXpZ4RZAjk).
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* Presentation on how to implement ML using {{ yandex-cloud }} at Yandex Scale 2020.
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* [Recorded broadcast](https://youtu.be/MxuABVNZV38).
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### 2020: Webinar {#webinar-2020}
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* Practical webinar about new {{ ml-platform-short-name }} features.
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* [Recorded broadcast](https://youtu.be/70lIkTJjAZU).
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* Webinar on how to use {{ ml-platform-short-name }} to process videos and detect objects in video frames.
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* [Recorded broadcast](https://youtu.be/55qc9YHbVwE).
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* Practical webinar on data science in {{ yandex-cloud }}.
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* [Recorded broadcast](https://youtu.be/5o5OJOwDfaU).

‎en/_includes/datasphere/ui-before-begin.md

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Open the project {{ ml-platform-name }}:
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1. {% include [find project](../../_includes/datasphere/ui-find-project.md) %}
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1. Click **Open project in {{ jlab }}Lab** and wait for the loading to complete.
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Open the project {{ ml-platform-name }}:
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1. {% include [find project](../../_includes/datasphere/ui-find-project.md) %}
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1. Click **Open project in {{ jlab }}Lab** and wait for it to load.
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1. Open the notebook tab.

‎en/_includes/functions/budget-format.md

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```json
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{
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"messages":[
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{
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"billing_account_id":"a6q6***",
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"budget_id":"a626***",
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"budget_display_name":"name",
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"amount":90012.00,
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"currency":"RUB",
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"period":"2021",
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"budgeted_amount":100000.00,
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"threshold_amount":90000.00,
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"threshold_type":"amount"
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}
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]
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}
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```
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Where:
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* `billing_account_id`: Billing account ID.
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* `budget_id`: Budget ID.
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* `budget_display_name`: Budget name.
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* `amount`: The cost of resources or account balance when notifications were triggered.
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* `currency`: Payment currency.
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* `period`: Budget tracking period.
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* `budgeted_amount`: Budget amount.
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* `threshold_amount`: Consumption threshold that triggered notifications.
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* `threshold_type`: Threshold type:
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* `amount`: Currency.
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* `percent`: Percentage.

‎en/_includes/functions/cr-event.md

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## Events for setting up a trigger {#event}
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Events with Docker images that can be tracked using a trigger:
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* [Creating a Docker image](../../container-registry/operations/docker-image/docker-image-push.md).
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* [delete Docker images](../../container-registry/operations/docker-image/docker-image-delete.md).
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* Creating a Docker image tag.
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* Deleting a Docker image tag.
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A Docker image is always pushed with a tag (if no tag is specified, Docker automatically inserts the `latest` tag). Therefore the `CreateImage` event is always paired with `CreateImageTag`. You can add an arbitrary number of tags to a Docker image by pushing the same image with other tags. In this case, only the `CreateImageTag` event will occur, without `CreateImage`.
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A tag can go from one Docker image to another. This happens when pushing a new Docker image with a tag that is already used in another Docker image. In this case, the `CreateImage` event will occur for the new Docker image, while changing the tag will trigger two events: `DeleteImageTag` (removing the tag from the old Docker image) and `CreateImageTag` (assigning the tag to the new Docker image).
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When you delete a Docker image, all its tags are deleted. This is why deleting a Docker image always triggers the `DeleteImage` event and as many `DeleteImageTag` events as the Docker image had tags at the time of deletion.
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### Filtering events {#filter}
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Events are filtered using tags and names of Docker images that you push. When using a name and tag at the same time, filtering is done based on the logical `AND`: for the trigger to work, the image must match both the name and tag.

‎en/_includes/functions/cr-format.md

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```json
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{
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"messages": [
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{
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"event_metadata": {
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"cloud_id": "b1gvlrnl************",
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"created_at": "2020-09-07T11:09:14Z",
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"event_id": "crtpk611************",
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"event_type": "yandex.cloud.events.containerregistry.CreateImage",
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"folder_id": "b1g88tfl************",
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"tracing_context": {
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"parent_span_id": "-1491579************",
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"span_id": "-7232663************",
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"trace_id": "70e7************"
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}
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},
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"details": {
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"image_digest": "sha256:45f8f740272f1f2a053eade37d8d************************************",
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"image_id": "crti2c9b************",
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"registry_id": "crt2504s************",
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"repository_name": "crt2504s************/ubuntu",
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"tag": "latest"
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}
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}]
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}
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```

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