Docker repositories in Artifactory are typically designed to handle a certain level of load and traffic. Some organizations over-utilized their docker repository. When a Docker repository is over-utilized, it can lead to performance issues. The repository may become slower in handling requests and may struggle to keep up with the increased load. From this maintenance work needs to be in place.
To be able to prevent these situations, it is vital knowing the layer sizes of each tag digest in a Docker repository can provide several advantages in preventing over-utilization and optimizing resource usage. By knowing the sizes of Docker layer tags, you can estimate the amount of storage space required for each image. This information allows you to allocate resources more effectively, ensuring you have sufficient storage capacity to accommodate the images without over-utilizing the repository. When you have visibility into the sizes of Docker layers, you can plan your resource allocation and scaling requirements more accurately. You can estimate the growth rate of the repository, predict future storage needs, and scale your infrastructure accordingly to accommodate increasing demands.