Epic Goal

Since its first release, the insights that Konveyor could gather from a given application were either coming from the source code from the application itself (analysis), or from information provided by the different stakeholders involved in the management of the application lifecycle (assessment). This enhancement proposes a third way of surfacing insights about an application by gathering both runtime and deployment configuration from the very platform in which the application is running (discovery), and storing that configuration in a canonical model that can be leveraged by different Konveyor modules or addons.

Aside from that, the support that Konveyor provided for the migration process stopped when the application source code was modified for the target platform, leaving the application itself ready to be deployed but without the required assets to get it actually deployed in the target platform. For example, for an application to be deployed in Kubernetes, it is not only necessary to adapt the application source code to run in containers, but it is also necessary to have deployment manifests that define how that application can be deployed in a cluster, a Containerfile to build the image and potentially some runtime configuration files. This enhancement proposes a way to automate the generation of those assets by leveraging the configuration and insights gathered by Konveyor.

This Epic is fleshed out in the following Konveyor Enhancement: https://github.com/konveyor/enhancements/pull/210