A batteries-include MapReduce environment for academics, engineers, and researchers.
What does it do?
Cirrus makes it easier to perform large-scale computation and data analysis tasks using the MapReduce framework. While MapReduce is widely used in industry, the high cost and complexity of accessing a MapReduce infrastructure make it impractical for many potential users. Cirrus Cluster is a python library and set of command line tools that automates the complex processes of provisioning, launching, configuring, and monitoring a custom MapR hadoop cluster. Cirrus aims to be a batteries-include tool to support a MapReduce workflow tailored for the needs of engineers and researchers who don't have a full-time IT support staff to manage the cluster.
How does it work?
Cirrus Cluster creates a computing environment on Amazon's EC2 cloud with all the required software installed and ready to use. This environment consists of two elements: the workstation and the cluster. You connect to the workstation from your local machine. From the workstation, you can prepare your datasets test your code and eventually launch a cluster to run a complex processing pipeline on your datasets.
Cirrus Cluster Computing Environment
|workstation:||A persistent remote workstation setup for you in the AWS cloud.|
|cluster:||A temporary cluster setup for you in the AWS cloud on-demand.|
How much does it cost?
Cirrus Cluster is open source software and free to use and improve. However, you pay amazon for whatever resources you use. Roughly $1 per day to run the workstation and $6 per hour to run a typical cluster. See the :ref:`estimating costs <costs>` section for details.
.. toctree:: :maxdepth: 2 demo/demo manual/manual