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What is Docker Scout?

Container images consist of multiple layers and software components that can be susceptible to vulnerabilities, endangering the security of both the containers and the applications contained within. To address these security challenges, it is essential to take proactive measures, and one effective solution is Docker Scout, which enhances the security of your software supply chain. By analyzing your images, Docker Scout generates an exhaustive list of components, known as a Software Bill of Materials (SBOM). This SBOM is then evaluated against a frequently updated vulnerability database to detect potential security issues. Docker Scout operates independently and can be accessed via Docker Desktop, Docker Hub, the Docker CLI, and the Docker Scout Dashboard, providing users with flexibility. Additionally, it offers integration capabilities with third-party systems, such as container registries and CI platforms, enhancing its utility. Take advantage of this tool to discover and scrutinize the composition of your images, ensuring that your artifacts adhere to supply chain best practices. Employing Docker Scout empowers you to uphold a strong defense against new and evolving threats within your software environment, ultimately fostering a more secure development process.

What is AWS Deep Learning Containers?

Deep Learning Containers are specialized Docker images that come pre-loaded and validated with the latest versions of popular deep learning frameworks. These containers enable the swift establishment of customized machine learning environments, thus removing the necessity to build and refine environments from scratch. By leveraging these pre-configured and rigorously tested Docker images, users can set up deep learning environments in a matter of minutes. In addition, they allow for the seamless development of tailored machine learning workflows for various tasks such as training, validation, and deployment, integrating effortlessly with platforms like Amazon SageMaker, Amazon EKS, and Amazon ECS. This simplification of the process significantly boosts both productivity and efficiency for data scientists and developers, ultimately fostering a more innovative atmosphere in the field of machine learning. As a result, teams can focus more on research and development instead of getting bogged down by environment setup.

Media

Media

Integrations Supported

Amazon Elastic Container Registry (ECR)
Azure Container Registry
Azure DevOps Server
CircleCI
Docker
GitHub
GitLab
JFrog Artifactory
Jenkins
SonarQube Server
Sysdig Monitor

Integrations Supported

Amazon Elastic Container Registry (ECR)
AWS Marketplace
AWS Neuron
Amazon EC2 G5 Instances
Amazon EC2 P4 Instances
Amazon EC2 P5 Instances
Amazon EC2 Trn1 Instances
Amazon EKS
Amazon Elastic Container Service (Amazon ECS)
Amazon SageMaker

API Availability

API Availability

Pricing Information

$5 per month
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Not specified

Company Facts

Organization Name

Docker

Date Founded

2013

Company Location

United States

Company Website

docs.docker.com/scout/

Company Facts

Organization Name

Amazon

Date Founded

2006

Company Location

United States

Company Website

aws.amazon.com/machine-learning/containers/

Categories and Features

Categories and Features

AI Infrastructure

Not specified

Container Management

Not specified

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