- Managed Airflow
Working with managed airflow on GCP.
We'll cover the following
We now have a workflow tool set up for managing model workflows, but the default configuration does not provide
high-availability, where new machines are provisioned when failures occur. While it’s possible to set up a distributed version of Airflow using Celery to set up different Scheduler
and Worker
nodes, one recent trend is using Kubernetes to create more robust Airflow deployments.
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