All, - https://github.com/cloudsoft/brooklyn-container-service
This repository contains Brooklyn Container Service, which is a set of locations and entities for Apache Brooklyn that allow deployment of applications to container based locations. The locations provided use the jclouds Docker provider and the fabric8 Kubernetes client to give Brooklyn access to Docker Engine, Docker Swarm, Kubernetes and OpenShift. As well as these locations, entities that represent Docker containers and Kubernetes pods are included, which can be used to build applications. Blueprints for containerised applications can also be developed and deployed using the usual Brooklyn components. This is a useful addition to Apache Brooklyn and allows the project to extend its scope to include this essential part of the Cloud Native ecosystem. Container Service was developed by Cloudsoft Corporation as part of its AMP product over the last year, based on the earlier open source Clocker codebase. There have been 14 contributors, making 379 commits in 50 files, with around 3.3 KLOC of Java. The commit being discussed here has id `975807b89df63833d9b53b50d508cb5d782ad7b0` and tag `apache-brooklyn`, and the code can be accessed at the following URLs: - https://github.com/cloudsoft/brooklyn-container-service/tree/975807b89df63833d9b53b50d508cb5d782ad7b0 - https://github.com/cloudsoft/brooklyn-container-service/releases/tag/apache-brooklyn This vote is to determine whether the Brooklyn PMC is in favour of accepting the code contribution. If the vote passes, the PMC and the authors of the code will work together to complete the ASF IP Clearance process and merge the Container Service repository into Apache Brooklyn. [ ] +1 : Accept contribution of Brooklyn Container Service [ ] 0 : No opinion [ ] -1 : Reject contribution because... The vote is open for 72 hours and will close at 11h00 UTC/12h00 BST on Saturday 03 June 2017 and the results will be announced on this list. Thanks, Andrew. -- Andrew Kennedy ; Founder clocker.io project ; @grkvlt ; Cloudsoft