A job-metascheduler developed in Python. Used to manage workflows in a hybrid cluster ecosystem, with Hadoop and SGE as cluster frameworks, and Kubernetes as deployment orchestrator.
The mini daemon will be responsible for monitoring the jobs table, and depending on the cluster execution mode, and all the cluster queue statuses, send a specific job to a specific queue.
The mini daemon will be responsible for monitoring the jobs table, and depending on the cluster execution mode, and all the cluster queue statuses, send a specific job to a specific queue.