Different (DEV/TEST/UAT) environments are recommended to be deployed so a fully managed CI/CD pipeline can be defined on the top of this architecture as well for the DAG jobs. if we are about to change something on the top layer, we can do it without deleting or making any modification on the layers below.ДЄirflow Deployment Cloudformation modulesДЄs you can see at the top layer the Airflow Service can have multiple instances, thus we can deploy for example multiple environments. With this modularisation concept, the development and the maintenance of the stack are easier, these layers are logically separated. The whole stack is split into 4 main layers. In the case of AWS, it usually means Cloudformation. IaC (Infrastructure as Code) is one of the main principles we have to follow. This post is going to show you a secure deployment concept on AWS ECS provided by Infinite Lambda. The two available cluster types on AWS are AWS ECS or Kubernetes. On AWS there is no Airflow as a Service so we have to deploy it ourselves which requires a bit more expertise. If our stack is already in Google Cloud then we can choose Cloud Composer as an option which is for sure an easy start. Are you ready to use it? Alright, only one thing remains вЂ“ deployment. It has a nice UI for task dependencies visualisation, parallel execution, task level retry mechanism, isolated logging, extendability because of the open source community it comes already with multiple operators and on top of that companies can define their own operator as well. Specifies the start date for the weekly maintenance window.Apache Airflow has became de facto in the orchestration market, companies like it because of many reasons. Possible options: PRIVATE_ONLY (default) and PUBLIC_ONLY. Specifies whether the webserver should be accessible over the internet or via your specified VPC. MWAA requires two subnets.ДЄ map of key=value pairs to associate with the resource. The private subnet IDs in which the environment should be created. For example, arn:aws:s3:::airflow-mybucketname. The Amazon Resource Name (ARN) of your Amazon S3 storage bucket. At least one of the security group needs to allow MWAA resources to talk to each other, otherwise MWAA cannot be provisioned. For more information, see Importing DAGs on Amazon MWAA. If a relative path is provided in the request, then requirements_s3_object_version is required. The relative path to the requirements.txt file on your Amazon S3 storage bucket. The requirements.txt file version you want to use. If a relative path is provided in the request, then plugins_s3_object_version is required. The relative path to the plugins.zip file on your Amazon S3 storage bucket.

The plugins.zip file version you want to use.

The name of the Apache Airflow Environment The minimum number of workers that you want to run in your environment. The maximum number of workers that can be automatically scaled up. The Apache Airflow logs you want to send to Amazon CloudWatch Logs. Please check the Official Documentation for more information.

Will be set to the ARN of the managed KMS key aws/airflow by default. The Amazon Resource Name (ARN) of your KMS key that you want to use for encryption. Check the official AWS documentation for the detailed role specification. The Amazon Resource Name (ARN) of the task execution role that the Amazon MWAA and its environment can assume. Please check the AWS Pricing for more information about the environment classes. Possible options are mw1.small, mw1.medium, mw1.large. For more information, see Importing DAGs on Amazon MWAA.Д®nvironment class for the cluster. The relative path to the DAG folder on your Amazon S3 storage bucket. Check the Official documentation for all possible configuration options.ДЄirflow version of your environment, will be set by default to the latest version that MWAA supports. The airflow_configuration_options parameter specifies airflow override options. Use this module to deploy an AWS Managed Airflow.

Aws managed airflow