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Merge pull request #474 from vegasbrianc/grafeas

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added Grafeas Metadata tool for containers
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Julien Bisconti 2017-10-28 13:05:02 +03:00 committed by GitHub
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@ -160,6 +160,7 @@ Docker EE is on the same code base as Docker CE, so also built from Moby, with c
* [depcon](https://github.com/gondor/depcon) - Depcon is written in Go and allows you to easily deploy Docker containers to Apache Mesos/Marathon, Amazon ECS and Kubernetes. By [@gonodr][gondor] * [depcon](https://github.com/gondor/depcon) - Depcon is written in Go and allows you to easily deploy Docker containers to Apache Mesos/Marathon, Amazon ECS and Kubernetes. By [@gonodr][gondor]
* [deploy](https://github.com/ttiny/deploy) :skull: - Git and Docker deployment tool. A middle ground between simple Docker composition tools and full blown cluster orchestration by [@ttiny](https://github.com/ttiny) * [deploy](https://github.com/ttiny/deploy) :skull: - Git and Docker deployment tool. A middle ground between simple Docker composition tools and full blown cluster orchestration by [@ttiny](https://github.com/ttiny)
* [dockit](https://github.com/humblec/dockit) :skull: - Do docker actions and Deploy gluster containers! By [@humblec](https://github.com/humblec) * [dockit](https://github.com/humblec/dockit) :skull: - Do docker actions and Deploy gluster containers! By [@humblec](https://github.com/humblec)
* [Grafeas](https://github.com/Grafeas/Grafeas) - A common API for metadata about containers, from image and build details to security vulnerabilities. By [Grafeas](https://github.com/Grafeas)
* [Longshoreman](https://github.com/longshoreman/longshoreman) :skull: - Longshoreman automates application deployment using Docker. Just create a Docker repository (or use a service), configure the cluster using AWS or Digital Ocean (or whatever you like) and deploy applications using a Heroku-like CLI tool. By [longshoreman](https://github.com/longshoreman) * [Longshoreman](https://github.com/longshoreman/longshoreman) :skull: - Longshoreman automates application deployment using Docker. Just create a Docker repository (or use a service), configure the cluster using AWS or Digital Ocean (or whatever you like) and deploy applications using a Heroku-like CLI tool. By [longshoreman](https://github.com/longshoreman)
### Monitoring ### Monitoring