A lot of documentation is very beneficial for command-line tools like Amazon ECR. Improving the documentation for easy understanding will help bring in more clients to use Amazon ECR.
The solution provides us with image scanning. It would be great if they can also provide a reference to fix the errors or vulnerabilities in the images rather than just notifying us about them. For example, they just provide us with the issue only. But in case they provide us a way to fix the issue directly, that will be a good addition.
The solution's support for system architecture could be better. Also, there could be specific training module videos included. It is time-consuming to refer to YouTube videos to figure out the solution's architecture.
Amazon ECR should improve the integration with Amazon CloudWatch. For example, allowing us to monitor the queues better. Additionally, some of the features could be made more accessible.
One area for improvement in Amazon ECR is its complexity. It's pretty complex for newbies, particularly learning about private repositories, including how to access Amazon ECR through AWS Identity and Access Management (IAM). However, after your hands-on as a newbie, it becomes easy to use Amazon ECR. Amazon ECR also lacks documentation that would make learning easier for newbies. I have to teach others about IAM and its purpose, how to use it, and the access key to access private images in Amazon ECR. I want Amazon ECR to integrate with other repositories and cloud services. For example, I should be able to see the containers and images uploaded to the containers. I should see uploaded images to Docker, Azure Container Registry, etc. because that would make it easier for me to select the images for deployment. That's the feature that would be most useful for developers.
The Container Registry solutions are designed for managing, storing, and securing container images. These registries serve as pivotal elements in the deployment pipelines of modern software development, especially in environments leveraging microservices architecture and containerization technologies like Docker and Kubernetes.
Amazon ECR needs to improve its downtime.
A lot of documentation is very beneficial for command-line tools like Amazon ECR. Improving the documentation for easy understanding will help bring in more clients to use Amazon ECR.
Amazon ECR's manipulation capability of tags needs to be improved.
The solution provides us with image scanning. It would be great if they can also provide a reference to fix the errors or vulnerabilities in the images rather than just notifying us about them. For example, they just provide us with the issue only. But in case they provide us a way to fix the issue directly, that will be a good addition.
The solution's support for system architecture could be better. Also, there could be specific training module videos included. It is time-consuming to refer to YouTube videos to figure out the solution's architecture.
Amazon ECR should improve the integration with Amazon CloudWatch. For example, allowing us to monitor the queues better. Additionally, some of the features could be made more accessible.
One area for improvement in Amazon ECR is its complexity. It's pretty complex for newbies, particularly learning about private repositories, including how to access Amazon ECR through AWS Identity and Access Management (IAM). However, after your hands-on as a newbie, it becomes easy to use Amazon ECR. Amazon ECR also lacks documentation that would make learning easier for newbies. I have to teach others about IAM and its purpose, how to use it, and the access key to access private images in Amazon ECR. I want Amazon ECR to integrate with other repositories and cloud services. For example, I should be able to see the containers and images uploaded to the containers. I should see uploaded images to Docker, Azure Container Registry, etc. because that would make it easier for me to select the images for deployment. That's the feature that would be most useful for developers.