aws cli list images in ecr with code examples

AWS CLI is a powerful command-line tool that allows users to interact with the various services offered by the Amazon Web Services (AWS) cloud platform. One of the services supported by the AWS CLI is Amazon Elastic Container Registry (ECR), which is a fully-managed Docker container registry that makes it easy to store, manage, and deploy container images. In this article, we will explore how to use AWS CLI to list images in ECR, including code examples.

Before we get started with the code, it is essential to ensure that we have set up our AWS CLI and ECR repository properly. Below are some steps to follow to set up AWS CLI and ECR:

1. Install and configure the AWS CLI – The AWS CLI requires Python and pip, but once these are installed, the CLI can be installed using pip. After installation, the CLI needs to be configured with the AWS access key, secret access key, and default region.

2. Create an ECR repository – To create an ECR repository, you need to navigate to the AWS ECR console, click Create repository, and give it a name.

Now that we have set up and configured our AWS CLI and ECR repository, we can now write code to list images in ECR. Listed below are the steps involved:

Step 1: Authenticate the CLI to your ECR repository using the AWS CLI.

The below example shows how you can authenticate with ECR using the AWS CLI:

$ aws ecr get-login-password –region us-west-2 | docker login –username AWS –password-stdin aws_account_id.dkr.ecr.us-west-2.amazonaws.com

The command above returns an authentication token that can be used to authenticate with the registry, after which you should see a message stating "Login Succeeded".

Step 2: List the images inside the ECR repository.

Once we have authenticated the CLI with the ECR repository, we can now list the images in the repository using the AWS CLI.

The code below shows how to list container images from an ECR repository:

$ aws ecr list-images –repository-name my-repository

The command above will return a list of imageIds that will be useful when retrieving manifests or deleting images.

Additionally, using the fields parameter, you can specify which image metadata should be returned. Below is an example of a command to list the images in a repository with additional metadata.

$ aws ecr list-images –repository-name my-repository –query 'imageIds[*].[imageDigest,imageTags]'

Step 3: Filtering list of images using the AWS CLI.

Filtering allows us to return a subset of images that match a specific criteria or metadata. We can use the –filter parameter with the list-images command to filter the results.

Below is an example of filtering images that contain a specific tag:

$ aws ecr list-images –repository-name my-repository –filter tagStatus=TAGGED –query 'imageIds[*].[imageDigest,imageTags]' –output table

Step 4: Sorting the list of images using AWS CLI

AWS CLI allows us to sort list of images based on the created timestamp in a descending or ascending order.

Below is an example of sorting the images in ascending order:

$ aws ecr list-images –repository-name my-repository –query 'reverse(sort_by(imageIds,&imagePushedAt))'

Conclusion

In conclusion, AWS CLI provides users with powerful and effective command-line functionalities that makes it easy to manage and interact with various AWS services. With the examples provided in this article, users can effectively list images in their ECR repository, filter them based on specific metadata, and even sort them in ascending or descending order based on their creation time. Overall, mastering these functionalities will help users to efficiently manage their container images in ECR.

I can provide more information on the topics I have covered. Let me expand on them below:

AWS CLI:

AWS CLI is a command-line tool that offers users a consistent and unified way to interact with various AWS services. With AWS CLI, users can quickly and easily automate their day-to-day tasks and manage their AWS services through a single point of entry.

One of the advantages of using AWS CLI is that it allows for simpler scripting and automation of AWS tasks in comparison to web interface navigation or SDKs. Also, by leveraging the CLI, users can use cloud resources more efficiently, increase productivity, and avoid the risk of human error, potentially saving time and money.

To install the AWS CLI, users need Python installed on their computer and navigate to the command line to install the module using pip. After installation, the CLI needs to be configured with the user's access key, secret access key, and the default region.

ECR:

Amazon Elastic Container Registry is a fully-managed Docker container registry that makes it easy to store, manage, and deploy container images, simplifying the development and deployment of containerized applications. ECR allows users to store and manage images securely, efficiently, and at scale.

One of the advantages of using ECR is that it is an integrated service with the rest of the AWS ecosystem, making it easy to deploy applications using Elastic Container Service (ECS), Elastic Kubernetes Service (EKS), and other services.

To use ECR, users can create a repository in the AWS account console or with the AWS CLI and authenticate with the registry using security credentials such as an access key and secret access key. After authentication, users can use the push and pull text commands to upload and download Docker images to their ECR repositories.

In conclusion, AWS CLI and ECR are essential tools that help manage and deploy containers on AWS cloud infrastructure. They provide users with the flexibility to script repetitive tasks, manage large container deployments, and collaborate with existing AWS services. Understanding and mastering these tools will go a long way in maximizing their benefits.

Popular questions

Sure, here are five questions on AWS CLI list images in ECR with code examples along with their answers:

1. Q: What is AWS CLI, and how can it be used to manage ECR repositories?

   A: AWS CLI is a command-line interface for interacting with AWS services. You can use AWS CLI to manage your ECR repositories by listing images, filters, sorting, and removing images from a repository. AWS CLI provides a simple and efficient way to manage your ECR repositories.

2. Q: How can you authenticate the AWS CLI with your ECR repository?

   A: You can use the aws ecr get-login-password command to authenticate the AWS CLI with your ECR repository. This command returns a temporary authentication token that you can use to authenticate with your ECR repository.

3. Q: How can you list images in your ECR repository using AWS CLI?

   A: You can use the aws ecr list-images --repository-name <repository-name> command to list images in your ECR repository. This command returns a list of image identifiers and their associated metadata.

4. Q: How can you filter the list of images in your ECR repository using AWS CLI?

   A: You can use the --filter parameter with the list-images command to filter the results. For example, you can filter images based on tag status or image creation time.

   Here's an example command to list images that contain a specific tag:

   aws ecr list-images --repository-name my-repository --filter tagStatus=TAGGED --query 'imageIds[*].[imageDigest,imageTags]'
   

5. Q: How can you sort the list of images in your ECR repository using AWS CLI?

   A: You can use the --query parameter with the list-images command to sort the results. For example, you can sort images in ascending or descending order based on their creation time.

   Here's an example command to sort images in ascending order:

   aws ecr list-images --repository-name my-repository --query 'reverse(sort_by(imageIds,&imagePushedAt))'
   

Tag

ECRImages