Computational Resources Monitoring

Inductiva API has at all times a monitoring service running in the background that will clean up any resources that are not being used. The focus of this service is to make sure that no computational resources are being wasted or left idle, for example, when a user forgets to terminate their machines.

Still, this service is mindful of the user’s work and will not terminate any computational resource right away. Instead, it will wait for a certain time before terminating the resource.

The following rules are verified before terminating the resources, which can be specified by the user:

• Total time of inactivity allowed, starting from the moment no simulations are active and resets if any task arrives: max_idle_time. The default value is 3 minutes.

• Total time after launch of computational resource, independent of any simulation still running: auto_terminate_ts or auto_terminate_minutes. There is no default value. If not specified, the machine group will never terminate while having active tasks assigned.

Please note that at the moment, the background service doesn’t preserve the data of running simulations. So please be mindful of the time your simulations may take to run when specifying auto_terminate_ts or auto_terminate_minutes.

The above mentioned attributes can be defined when initializing the machine group (this is valid for all machine group types). max_idle_time can be a datetime.timedelta object or an integer representing the number of minutes.

import inductiva
import datetime

machine_group = inductiva.resources.MachineGroup(
    machine_type="c2-standard-16",
    data_disk_gb=20,
    max_idle_time=1,
    # or
    # max_idle_time=datetime.timedelta(seconds=30),
    auto_terminate_ts=datetime.datetime.now(datetime.timezone.utc) +
    datetime.timedelta(hours=10),
    # or
    # auto_terminate_minutes=30,
)