HttpRequest Automate
HttpRequest Automate streamlines Docker registry management by automatically listing images, retrieving tags, and removing outdated tags on a scheduled basis. This workflow ensures your registry remains clean and efficient, retaining only the most relevant images while sending notifications for actions taken.
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Workflow Overview
HttpRequest Automate streamlines Docker registry management by automatically listing images, retrieving tags, and removing outdated tags on a scheduled basis. This workflow ensures your registry remains clean and efficient, retaining only the most relevant images while sending notifications for actions taken.
This workflow is ideal for:
- DevOps Engineers: Who need to manage Docker images efficiently and keep the registry clean.
- System Administrators: Responsible for maintaining Docker registries and ensuring optimal storage usage.
- Cloud Engineers: Looking to automate Docker image management as part of their CI/CD pipelines.
- Development Teams: Who regularly push images to Docker registries and want to manage old tags automatically.
This workflow addresses the challenge of managing Docker images in a registry by automating the removal of old, unused tags. It ensures that only the latest and most relevant images are retained, thus optimizing storage and maintaining a clean environment. Additionally, it provides notifications via email about removed images, ensuring transparency and awareness among team members.
- Scheduled Trigger: The workflow initiates at 1 AM daily.
- List Images: It retrieves the list of images from the Docker registry.
- Extract Image Names: The workflow extracts the names of the images for further processing.
- Retrieve Image Tags: For each image, it retrieves the associated tags.
- Split Tags: The tags are split out for individual processing.
- Filter Valid Tags: Only valid and non-empty tags are retained for further action.
- Fetch Manifest Digest: The workflow fetches the manifest digest for each valid tag to gather additional metadata.
- Update Fields: Relevant fields such as
name,tag,created, anddigestare updated for each image. - Sort by Creation Date: Tags are sorted based on their creation date in descending order.
- Group Tags by Image: Tags are grouped by their respective images for easier management.
- Identify Tags to Remove: The workflow identifies which tags should be removed, keeping only the latest and the 10 most recent tags.
- Remove Old Tags: The identified old tags are deleted from the registry.
- Send Notification Email: A notification email is sent for each removed tag, informing the team of the action taken.
- Execute Garbage Collection: Finally, a garbage collection command is executed to free up space in the registry.