orca.autoscaler
===============

.. py:module:: orca.autoscaler

.. autoapi-nested-parse::

   Custom Celery autoscaler for the OVRO-LWA Cluster.

   Provides a custom autoscaling strategy that considers system load
   average and available RAM when scaling worker processes.

   Classes
   -------
   CalimScaler
       Autoscaler that scales workers based on load and memory constraints.



Classes
-------

.. autoapisummary::

   orca.autoscaler.CalimScaler


Module Contents
---------------

.. py:class:: CalimScaler

   Bases: :py:obj:`celery.worker.autoscale.Autoscaler`


   Custom Celery autoscaler for resource-aware worker scaling.

   Extends the default Celery autoscaler to consider system load average
   and available RAM when making scaling decisions. This prevents
   over-provisioning on shared compute nodes.

   Scaling up occurs when:
       - More tasks are queued than processes available
       - System load average is below 20
       - Available RAM exceeds 200 GB

   Scaling down occurs when:
       - Fewer tasks than processes, or load is acceptable

   .. note:: Cleanup and retry logic may need further implementation.