I use a computing environment of 0-256 m3.medium on demand instances. My Job definition requires 1 CPU and 3 GB of Ram, which m3.medium has.
What are possible reasons why AWS Batch Jobs are stuck in state RUNNABLE
?
AWS says:
A job that resides in the queue, has no outstanding dependencies, and is therefore ready to be scheduled to a host. Jobs in this state are started as soon as sufficient resources are available in one of the compute environments that are mapped to the job’s queue. However, jobs can remain in this state indefinitely when sufficient resources are unavailable.
but that does not answer my question