ClusterShell provides a light and unified command execution Python framework to help administer GNU/Linux or BSD clusters. Some of the most important benefits of using ClusterShell are to:
- provide an efficient, parallel and highly scalable command execution engine in Python,
- support an unified node groups syntax and external group access (see the
- significantly speed up initial cluster setup and daily administrative tasks when using tools like clush and cluset / nodeset.
Originally created by the HPC Linux system development team at CEA  HPC center in France, ClusterShell is designed around medium and long term ideas of sharing cluster administration development time, and this according to two axes:
- sharing administrative applications between main components of the computing center: compute clusters, but also storage clusters and server farms (so they can use the same efficient framework for their administrative applications),
- sharing cluster administration techniques across multiple generations of super-computing clusters (first of all, to avoid that each cluster administration application has to implement its own command execution layer, but also to encourage the adoption of event-based coding model in cluster management scripts).
Two available coding models make the library well-suited for simple scripts or for complex applications as well. Also, the library is fully cluster-aware and has primarily been made for executing remote shell commands in parallel and gathering output results. But it now also provides the developer a set of extra features for administrative applications, like file copy support or time-based notifications (timers) which are discussed in this documentation.
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