AWS

Athena

This integration allows you to connect to AWS Athena, a serverless interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Using this integration, you can issue queries to Athena, fetch results, and handle query execution states within your Dagster pipelines.

CloudWatch

This integration allows you to send Dagster logs to AWS CloudWatch, enabling centralized logging and monitoring of your Dagster jobs. By using AWS CloudWatch, you can take advantage of its powerful log management features, such as real-time log monitoring, log retention policies, and alerting capabilities.

ECR

This integration allows you to connect to AWS Elastic Container Registry (ECR). It provides resources to interact with AWS ECR, enabling you to manage your container images.

EMR

The dagster-aws integration provides ways orchestrating data pipelines that leverage AWS services, including AWS EMR (Elastic MapReduce). This integration allows you to run and scale big data workloads using open source tools such as Apache Spark, Hive, Presto, and more.

Glue

The dagster-aws integration library provides the PipesGlueClient resource, enabling you to launch AWS Glue jobs directly from Dagster assets and ops. This integration allows you to pass parameters to Glue code while Dagster receives real-time events, such as logs, asset checks, and asset materializations, from the initiated jobs. With minimal code changes required on the job side, this integration is both efficient and easy to implement.

Lambda

Using this integration, you can leverage AWS Lambda to execute external code as part of your Dagster pipelines. This is particularly useful for running serverless functions that can scale automatically and handle various workloads without the need for managing infrastructure. The PipesLambdaClient class allows you to invoke AWS Lambda functions and stream logs and structured metadata back to Dagster's UI and tools.

Redshift

Using this integration, you can connect to an AWS Redshift cluster and issue queries against it directly from your Dagster assets. This allows you to seamlessly integrate Redshift into your data pipelines, leveraging the power of Redshift's data warehousing capabilities within your Dagster workflows.

S3

The AWS S3 integration allows data engineers to easily read, and write objects to the durable AWS S3 storage -- enabling engineers to a resilient storage layer when constructing their pipelines.

Secrets Manager

This integration allows you to manage, retrieve, and rotate credentials, API keys, and other secrets using AWS Secrets Manager.

Systems Parameter Store

The Dagster AWS Systems Manager (SSM) Parameter Store integration allows you to manage and retrieve parameters stored in AWS SSM Parameter Store directly within your Dagster pipelines. This integration provides resources to fetch parameters by name, tags, or paths, and optionally set them as environment variables for your operations.