MWAAServerless¶
Client¶
- class MWAAServerless.Client¶
A low-level client representing AmazonMWAAServerless
Amazon Managed Workflows for Apache Airflow Serverless provides a managed workflow orchestration platform for running Apache Airflow workflows in a serverless environment. You can use Amazon Managed Workflows for Apache Airflow Serverless to create, manage, and run data processing workflows without managing the underlying infrastructure, Airflow clusters, metadata databases, or scheduling overhead. The service provides secure multi-tenant run environments with automatic scaling, comprehensive logging, and integration with multiple Amazon Web Services services for orchestrating complex analytics workloads.
import boto3 client = boto3.client('mwaa-serverless')
These are the available methods:
- can_paginate
- close
- create_workflow
- delete_workflow
- get_paginator
- get_task_instance
- get_waiter
- get_workflow
- get_workflow_run
- list_tags_for_resource
- list_task_instances
- list_workflow_runs
- list_workflow_versions
- list_workflows
- start_workflow_run
- stop_workflow_run
- tag_resource
- untag_resource
- update_workflow
Paginators¶
Paginators are available on a client instance via the get_paginator method. For more detailed instructions and examples on the usage of paginators, see the paginators user guide.
The available paginators are: