Amazon Managed Workflows for Apache Airflow (MWAA) is a fully managed service that makes it easy to run open-source versions of Apache Airflow on AWS. It provides a scalable, highly available, and secure environment to develop, deploy, and manage workflows. MWAA manages the infrastructure and operations of the Airflow environment, including the setup, scaling, and patching of the underlying infrastructure. It also provides a managed metadata database, shared storage, and integration with AWS services such as Amazon S3, Amazon RDS, and Amazon EMR. With MWAA, you can focus on building workflows, managing dependencies, and monitoring performance, without worrying about the underlying infrastructure. It also provides integration with AWS services such as Amazon CloudWatch, AWS Step Functions, and AWS Lambda for building complex workflows and orchestrating them across multiple services. MWAA supports the Apache Airflow framework, which is a platform to programmatically author, schedule, and monitor workflows. It supports popular data processing and analysis frameworks such as Apache Spark, Hadoop, and Presto. It also supports various types of workflows, such as ETL pipelines, data streaming, and machine learning. MWAA provides an easy-to-use interface to manage Airflow environments, including a web-based UI, a CLI, and API endpoints. You can use these interfaces to deploy and manage Airflow DAGs, which are the workflows that define the tasks and their dependencies. In summary, Amazon Managed Workflows for Apache Airflow provides a fully managed and scalable environment to build, deploy, and manage workflows. It abstracts away the underlying infrastructure and operations, allowing you to focus on building your workflows and processing your data.

• published: 14 May 2023
• views: 5035