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August 14, 2023Voiced by Amazon Polly |
Introduction
Amazon Elastic Container Registry (ECR) is a fully managed container registry service provided by AWS. It offers a secure, scalable solution for storing, managing, and deploying container images. With Amazon ECR, you can seamlessly integrate with other AWS services to streamline your container workflows. Amazon ECR provides robust access controls, image vulnerability scanning, and efficient image replication across multiple regions, which makes it an ideal choice for managing container images associated with Helm charts.
Helm chart images often contain sensitive information like credentials. By creating a private repository, we can control who can access the images, ensuring that only authorized users or systems can pull or push images. Private repositories in Amazon ECR provide an additional layer of security. We should configure AWS IAM (Identity and Access Management) policies to manage access permissions. This helps to prevent unauthorized access to helm chart images, reducing the risk of potential security breaches.
Amazon ECR also supports uploading Open Container Initiative (OCI) artifacts to private repositories, providing us with flexibility and compatibility.
Step-by-Step Guide
Step 1 – To start pushing a Helm chart to Amazon ECR, the first step is to create a private repository in Amazon ECR using the following command:
1 | aws ecr create-repository --repository-name helm-chart --region ap-south-1 |
Step 2 – Next, we must authenticate the Helm client with the Amazon ECR registry to push the Helm chart. The authentication involves obtaining an authentication token from Amazon ECR and using it to log in to the registry:
1 | aws ecr get-login-password --region ap-south-1 | helm registry login --username AWS --password-stdin 51398122XXXX.dkr.ecr.ap-south-1.amazonaws.com |
Before creating helm chart we need to install Helm which is a powerful package manager that allows too define, install, and upgrade applications using pre-configured charts. By installing Helm, we gain access to a wide range of ready-to-use Helm charts that simplify the deployment of complex applications.
Step 3 – Create a helm chart using the command:
1 | helm create helm-chart |
Step 4 – After creating the Helm chart, we should clear the contents of the templates directory using the following command:
1 | rm -rf ./helm-chart/templates/* |
Step 5 – Next, we can create a ConfigMap in the templates directory as shown below:
Create sample configmap in template directory
1 2 3 4 5 6 7 8 9 | cd helm-test-chart/templates cat <<EOF > configmap.yaml apiVersion: v1 kind: ConfigMap metadata: name: helm-test-chart-configmap data: myvalue: "Hello World" EOF |
Step 6 – Navigate back one level from the current directory by using the command:
1 | cd .. |
Packaging the Helm chart is a crucial step that creates a self-contained bundle of our application, making it easy to share, distribute, and deploy in different environments. We can package the chart with the command:
1 | helm package helm-chart |
Step 7 – To upload the Helm chart to Amazon ECR, we use the helm push command and observe the output containing the Amazon ECR repository URI along with the SHA digest:
1 | helm push helm-chart-0.1.0.tgz oci://513981XXXXXX.dkr.ecr.ap-south-1.amazonaws.com/ |
After successfully pushing the Helm chart to the Amazon ECR repository, we can easily deploy and manage your Helm charts for seamless deployment in your Kubernetes cluster.
Step 8 – Describe your Helm chart using the following command:
1 | aws ecr describe-images --repository-name helm-chart --region ap-south-1 |
Output: Ensure that the artifactMediaType parameter correctly identifies the appropriate artifact format
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | { "imageDetails": [ { "registryId": "5139XXXXXXXX", "repositoryName": "helm-chart", "imageDigest": "sha256:db76867411abd27e701cb6711cea885e27f6062c613267f429b2188XXXXXXXXX", "imageTags": [ "0.1.0" ], "imageSizeInBytes": 1614, "imagePushedAt": "2023-07-19T12:51:31+00:00", "imageManifestMediaType": "application/vnd.oci.image.manifest.v1+json", "artifactMediaType": "application/vnd.cncf.helm.config.v1+json" } ] } |
Step 9 – Finally, verify whether the image is pushed in Amazon ECR private repository in the AWS console
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Conclusion
By leveraging Amazon ECR with Helm, we can achieve effortless container image management and seamless deployments. With its robust features, scalability, and integration with other AWS services, Amazon ECR simplifies the distribution and deployment of Helm charts. Follow the step-by-step guide and best practices to optimize the container image workflows and enhance the application deployments.
Drop a query if you have any questions regarding Amazon ECR with Helm and we will get back to you quickly.
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FAQs
1. Can we use Amazon ECR with other container orchestration platforms besides Kubernetes?
ANS: – While Amazon ECR integrates seamlessly with Amazon EKS for Kubernetes deployments, it can also be used with other container orchestration platforms that support Docker images.
2. How to handle updates to Helm charts in Amazon ECR?
ANS: – Handling updates to Helm charts in Amazon ECR can be managed through versioning and tags. Whenever you change your Helm chart, you should increment the chart version and push the updated chart to Amazon ECR with a new tag. This ensures that each chart version is uniquely identifiable and can be deployed as needed.
3. Can we control the lifecycle of my Helm charts in Amazon ECR?
ANS: – Yes, you can control the lifecycle of your Helm charts in Amazon ECR using lifecycle policies. Amazon ECR lifecycle policies allow you to define rules for automatically expiring or cleaning up unused and old chart versions. This helps manage storage costs and keeps your Amazon ECR repository organized.
WRITTEN BY Abhilasha D
Abhilasha D is a Research Associate-DevOps at CloudThat. She is focused on gaining knowledge of Cloud environment and DevOps tools. She has keen interest in learning and researching on emerging technologies.
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