Package-level declarations

You do not have sufficient permission to perform this action.

You cannot create a resource that already exists, or the resource is in a state that prevents the requested operation.

Specifies the Amazon S3 location of a workflow definition file. This structure contains the bucket name, object key, and optional version ID for the workflow definition. Amazon Managed Workflows for Apache Airflow Serverless takes a snapshot of the definition file at the time of workflow creation or update, ensuring that the workflow behavior remains consistent even if the source file is modified. The definition must be a valid YAML file that uses supported Amazon Web Services operators and Amazon Managed Workflows for Apache Airflow Serverless syntax.

Configuration for encrypting workflow data at rest and in transit. Amazon Managed Workflows for Apache Airflow Serverless provides comprehensive encryption capabilities to protect sensitive workflow data, parameters, and execution logs. When using customer-managed keys, the service integrates with Amazon Web Services KMS to provide fine-grained access control and audit capabilities. Encryption is applied consistently across the distributed execution environment including task containers, metadata storage, and log streams.

An unexpected server-side error occurred during request processing.

Configuration for workflow logging that specifies where you should store your workflow execution logs. Amazon Managed Workflows for Apache Airflow Serverless provides comprehensive logging capabilities that capture workflow execution details, task-level information, and system events. Logs are automatically exported to your specified CloudWatch log group using remote logging functionality, providing centralized observability across the distributed, multi-tenant execution environment. This enables effective debugging, monitoring, and compliance auditing of workflow executions.

Base class for all service related exceptions thrown by the MwaaServerless client

Network configuration for workflow execution. Specifies VPC security groups and subnets for secure network access. When provided, Amazon Managed Workflows for Apache Airflow Serverless deploys ECS worker tasks in your specified VPC configuration, enabling secure access to VPC-only resources. The service uses a proxy API container architecture where one container handles external communication while the worker container connects to your VPC for task execution. This design provides both security isolation and connectivity flexibility.

The operation timed out.

The specified resource was not found. You can only access or modify a resource that already exists.

Summary information about a workflow run's execution details, including status and timing information.

The configuration to use to schedule automated workflow execution using cron expressions. Amazon Managed Workflows for Apache Airflow Serverless integrates with EventBridge Scheduler to provide cost-effective, timezone-aware scheduling capabilities. The service supports both time-based and event-based scheduling (event-based scheduling available post-GA). When a workflow definition includes scheduling information, Amazon Managed Workflows for Apache Airflow Serverless automatically configures the appropriate triggers and ensures only one version of a workflow has an active schedule at any time.

The request exceeds the service quota for Amazon Managed Workflows for Apache Airflow Serverless resources. This can occur when you attempt to create more workflows than allowed, exceed concurrent workflow run limits, or surpass task execution limits. Amazon Managed Workflows for Apache Airflow Serverless implements admission control using DynamoDB-based counters to manage resource utilization across the multi-tenant environment. Contact Amazon Web Services Support to request quota increases if you need higher limits for your use case.

Summary information about a task instance within a workflow run, including its status and execution details.

The request was denied because too many requests were made in a short period, exceeding the service rate limits. Amazon Managed Workflows for Apache Airflow Serverless implements throttling controls to ensure fair resource allocation across all customers in the multi-tenant environment. This helps maintain service stability and performance. If you encounter throttling, implement exponential backoff and retry logic in your applications, or consider distributing your API calls over a longer time period.

The specified request parameters are invalid, missing, or inconsistent with Amazon Managed Workflows for Apache Airflow Serverless service requirements. This can occur when workflow definitions contain unsupported operators, when required IAM permissions are missing, when S3 locations are inaccessible, or when network configurations are invalid. The service validates workflow definitions, execution roles, and resource configurations to ensure compatibility with the managed Airflow environment and security requirements.

Contains information about a field that failed validation, including the field name and a descriptive error message.

Detailed information about a workflow run execution, including timing, status, error information, and associated task instances. This structure provides comprehensive visibility into the workflow execution lifecycle within the Amazon Managed Workflows for Apache Airflow Serverless serverless environment. The service tracks execution across distributed ECS worker tasks and provides detailed timing information, error diagnostics, and task instance relationships to support effective monitoring and troubleshooting of complex workflow executions.

Summary information about a workflow run, including basic identification and status information.

Summary information about a workflow, including basic identification and metadata.

Summary information about a workflow version, including identification and configuration details.