Managing Docker images from development to production can be difficult for obvious reasons; images full of packages containing layers of different file types like a Russian Doll creates a needle in a haystack situation when hunting down security vulnerabilities or dependency issues. On top of worrying about what versions of what images are ready for release, in order to create a streamlined delivery process for Docker images, you also need to incorporate security into your pipeline. This webinar will examine the patterns and the anti patterns for Docker image management, and how you can build a secure and automated delivery pipeline with Jenkins, Artifactory and Xray.
Who should attend:
Developers and DevOps engineers who are currently using Artifactory and investigating usage with Docker, and current Docker users who are considering using Artifactory as their trusted registry.
- Requirements of a pattern for Docker Lifecycles
- Anti-patterns in Docker containers
- Description of an end-to-end implementation of a Docker container development lifecycle.