Amazon Managed Workflows for Apache Airflow
Managed Apache Airflow environment running DAG-based data pipelines.
- Provider
- aws
- Kind
- Workflow engine
- Category
- Compute
- Also known as
- MWAA
| property | type | values | required | kind default | this component |
|---|---|---|---|---|---|
| compensation | boolean | — | no | false | ▸ false |
| durable | boolean | — | no | true | ▸ true |
| environmentClass | enum | mw1-micro | mw1-small | mw1-medium | mw1-large | mw1-xlarge | mw1-2xlarge | no | — | inherited |
| humanReview | boolean | — | no | false | ▸ false |
| managed | boolean | — | no | false | ▸ true |
| maxWorkers | integer | — | no | 10 | inherited |
| pattern | enum | saga | tcc | two-phase-commit | dag | no | dag | ▸ dag |
| schedulerCount | integer | — | no | 2 | inherited |
| stepsIdempotent | boolean | — | no | false | ▸ false |
| webserverAccessMode | enum | public | private | no | — | inherited |
Every rule whose selector covers this component's kind or its category. Whether a rule fires depends on the design: its properties, its edges and its groups.
stateful-node-without-zone-redundancy
A stateful compute node pinned to exactly one availability zone disappears with that zone, and its state goes with it. Nodes inside a cell are exempt, because there the cell is deliberately single-zone and redundancy comes from the other cells.
- — all of these hold:
- — the node's `stateless` is false
- — the node sits inside exactly 1 availability-zone group
- — this does not hold:
- — the node sits inside at least one cell group
nodes:
- { id: "mwaa", component: "aws-mwaa" }CloudFlowalibaba-cloudflowCloudOps Orchestration Servicealibaba-oosAmazon Augmented AI (A2I)aws-augmented-aiAWS Systems Manager Incident Manager and Change Manageraws-ssm-incident-and-change-managerAWS Step Functionsaws-step-functionsAmazon Simple Workflow Serviceaws-swfAzure Durable Functionsazure-durable-functionsAzure Logic Appsazure-logic-appsCloudflare Workflowscloudflare-workflowsApache AirflowairflowArgo Workflowsargo-workflowsAstronomer AstroastronomerCadencecadenceCamunda 8camundaConductorconductorDagsterdagsterDigdagdigdagFlowableflowableInngestinngestjBPMjbpmKestrakestraLuigiluigin8nn8nNode-REDnode-redPrefectprefectPrefect Cloudprefect-cloudRestaterestateTemporaltemporalTemporal Cloudtemporal-cloudTrigger.devtrigger-devWindmillwindmillWorkatoworkatoGeneric workflow engineworkflow-engineZapierzapierApplication Integrationgoogle-application-integrationCloud Composer (Managed Service for Apache Airflow)google-cloud-composerWorkflowsgoogle-cloud-workflowsOrchestration Pipelinesgoogle-orchestration-pipelinesIBM App Connectibm-app-connectOracle Integration 3oci-integration
and 4 more → Workflow engine page# yaml-language-server: $schema=../../schema/component.schema.json # Amazon Managed Workflows for Apache Airflow: managed Airflow environment whose schedulers and workers run as # Fargate containers in an Amazon MWAA VPC, with data "automatically encrypted using AWS Key Management Service" # ("What Is Amazon Managed Workflows for Apache Airflow?"). Scheduler count defaults to 2 on every class above # mw1.micro ("Configuring the Amazon MWAA environment class") and Maximum worker count defaults to 10 # ("Configuring Amazon MWAA worker automatic scaling"). schemaVersion: "1" type: "component" id: "aws-mwaa" kind: "workflow-engine" provider: "aws" docs: "https://docs.aws.amazon.com/mwaa/latest/userguide/environment-class.html" aliases: ["MWAA"] defaults: managed: true durable: true pattern: "dag" stepsIdempotent: false compensation: false humanReview: false properties: environmentClass: type: "enum" values: ["mw1-micro", "mw1-small", "mw1-medium", "mw1-large", "mw1-xlarge", "mw1-2xlarge"] schedulerCount: type: "integer" default: 2 maxWorkers: type: "integer" default: 10 webserverAccessMode: type: "enum" values: ["public", "private"]