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 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 end-to-end implementation of a Docker container development lifecycle