Amazon ECR vs Kraken by Uber: What are the differences?

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1. **Deployment Workflow** : Amazon ECR allows for seamless integration with Amazon ECS which simplifies the deployment process by providing a straightforward workflow. On the other hand, Kraken by Uber emphasizes Kubernetes integration, offering a robust deployment workflow tailored for Kubernetes clusters.
   
2. **Cost Structure** : Amazon ECR bases its pricing on the amount of data stored in the registry, while Kraken, being an open-source tool, incurs no additional costs for usage, making it more cost-effective for organizations with large-scale deployments.
   
3. **Community Support** : Amazon ECR is backed by the extensive AWS community and support, providing access to a wide range of resources and expertise. Kraken by Uber, being maintained by Uber's engineering team, offers a more specialized support system with direct access to the developers.
   
4. **Feature Set** : Amazon ECR offers a comprehensive set of features for image management, scanning, and access control, while Kraken mainly focuses on image distribution and version control, making it suitable for specific use cases requiring efficient image sharing.
   
5. **Scalability** : Amazon ECR is designed to scale seamlessly in line with AWS services, enabling automatic scaling based on demand. Kraken, being Kubernetes-centered, ensures scalability by leveraging Kubernetes' inherent scaling capabilities to manage containerized workloads effectively.

6. **Managing Dependencies** : Amazon ECR simplifies dependency management through integration with AWS services, allowing for easy management of container images and related resources. Kraken streamlines dependency handling within Kubernetes environments, optimizing the management of workload dependencies and configurations.

In Summary, Amazon ECR and Kraken by Uber differ in deployment workflows, cost structures, community support, feature sets, scalability, and management of dependencies.