Security

What is Clair, and How to Deploy It in an Enterprise Data Stack?

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What is Clair?

Clair is an open-source vulnerability scanner for container images, developed by CoreOS (now part of Red Hat). It's favored by enterprises and organizations for its ability to analyze container images and detect known security vulnerabilities. Before implementing Clair, organizations may struggle with identifying vulnerabilities in their container images. After adoption, they gain some ability to scan for known vulnerabilities, many users recommend using multiple scanners for better coverage, as different tools often find different vulnerabilities.

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Use cases for Clair

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Why is Clair better on Shakudo?

Clair analyzes container images to detect known security vulnerabilities, which is crucial for maintaining a secure data infrastructure. When deployed on Shakudo, Clair becomes even more powerful and user-friendly compared to proprietary solutions or self-deployment.

Without Shakudo, implementing Clair can be complex and time-consuming, requiring significant DevOps expertise and ongoing maintenance. However, with Shakudo's platform, you can deploy Clair with just one click, seamlessly integrating it into your existing data stack. Our automated DevOps ensures Clair is always up-to-date and optimized for your specific cloud environment. This integration allows your team to focus on leveraging Clair's insights rather than managing its deployment and operation, ultimately enhancing your container security with minimal overhead and maximum efficiency.

Why is Clair better on Shakudo?

Core Shakudo Features

Secure infrastructure

Deploy Shakudo easily on your VPC, on-premise, or on our managed infrastructure, and use the best data and AI tools the next day.
integrate

Integrate with everything

Empower your team with seamless integration to the most popular data & AI framework and tools they want to use.

Streamlined Workflow

Automate your DevOps completely with Shakudo, so that you can focus on building and launching solutions.

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Neal Gilmore