Open Source ChromeOS Deployment Tools

The Orchestrator server is responsible for distribution and launch of simple apply/rollback shell scripts in a particular order across multiple servers . If for any reason deployment is failing at a particular stage the process will stop and you can rollback any changes done until then. In case you want to deploy your code or just call your preferred DSC client to apply the configuration locally the Orchestrator can be a handy tool. The operation can be started manually or scheduled, depending on your needs. In terms of audit and trace capabilities, the system is collecting all console output of your shell scripts from all servers and saves the logs centrally for review.

NoOra is a database deployment tool which can be used to automate the database deployment cycle and is designed for agile and or devops teams. The supported database platforms are Oracle and Mysql. The support for Postgresql is work in progress. Feedback is more then welcome.

SuperAlbum is a java based digital photo album creation and deployment tool. It allows for easy management and viewing of your digital photos thru deployment on the web. The Viewer can be customized and extended to create a unique viewing experience

Switchboard is a port of Gargoyle, a feature flipper for Django apps, to the Pyramid or Pylons stack (including Turbogears). Originally used to selectively roll out changes to the SourceForge site, the library lets you easily control whether a particular change (a switch) is active. You can make switches active for a certain percentage of visitors, all visitors to a particular host in a cluster, or if a particular string is present in the query string. Furthermore you can easily create your own conditions to do fancier things like geo-targeting, specific users, etc. In short, Switchboard turns you into a continuous deployment ninja.

glu is a model-driven deployment and orchestration platform aimed at automating complex rollouts across fleets of machines. It represents desired system state in a declarative model and coordinates agents to converge reality with that model, handling steps like install, start, verify, and promote. The system provides auditing and versioning of deployments, so operators can trace what changed, when, and why. A central console and APIs allow visualizing the topology, triggering rollouts, and performing controlled actions such as canaries and rolling updates. Under the hood it coordinates distributed nodes, tolerating partial failures while continuing to drive toward the target state. By separating deployment recipes from environment specifics, glu encourages repeatable, testable releases for multi-service stacks.