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Anaconda for cluster management
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Anaconda for cluster management provides resource management tools to easily
deploy Anaconda across a cluster. It helps you manage multiple conda
environments and packages (including Python and R) on bare-metal or cloud-based
clusters. Supported platforms include Amazon EC2, bare-metal clusters, or even a
collection of virtual machines.

Anaconda for cluster management can be used with distributed computation
frameworks such as Spark or Dask and works alongside enterprise Hadoop
distributions such as Cloudera CDH or Hortonworks HDP.

Anaconda for cluster management is freely available via Anaconda Cloud 
for unlicensed, unsupported use with up to 4 cluster nodes. Anaconda 
Workgroup and Enterprise include licenses for 8 and 16 nodes, 
respectively. If you would like to use Anaconda for cluster 
management with additional nodes on a bare-metal, on-premises, or 
cloud-based cluster, please contact sales@continuum.io.

**Features of Anaconda for cluster management:**

* Easily install Python and R packages across multiple cluster nodes
* Manage multiple conda environments across a cluster
* Push local conda environments to all cluster nodes
* Manage both cloud-based and bare-metal clusters
* Remotely SSH and upload/download files to and from cluster nodes

**Typical configuration of Anaconda for cluster management:**

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.. image:: images/cluster_diagram.png
   :alt: Anaconda for cluster management Diagram

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**Table of contents:**

.. toctree::
   :maxdepth: 2

   quickstart
   installation
   create-overview
   config-overview
   plugins
   manage-cluster
   manage-conda
   howto-overview
   Cluster cheat sheet <http://docs.continuum.io/_downloads/anaconda_cluster_cheat_sheet.pdf>
   cloudera-cdh
   support
   faq
   release-notes
   glossary
