Workflow Engine for Kubernetes
-
Updated
May 26, 2024 - Go
Workflow Engine for Kubernetes
Optimus is an easy-to-use, reliable, and performant workflow orchestrator for data transformation, data modeling, pipelines, and data quality management.
Kubernetes custom controller and CRDs to managing Airflow
Simple but powerful DAG scheduler and dashboard
Apache Airflow - OpenApi Client for Go
A lightweight tool to get an AI Infrastructure Stack up in minutes not days. K3ai will take care of setup K8s for You, deploy the AI tool of your choice and even run your code on it.
A distributed workflow runner focusing on performance and simplicity.
Export Airflow metrics (from mysql) in prometheus format
Apache DolphinScheduler Kubernetes Operator.
Lifecycle management for Airflow clusters managed by Astronomer
🌎 terraform provider for double.cloud
Optimus is an easy-to-use, reliable, and performant workflow orchestrator for data transformation, data modeling, pipelines, and data quality management.
A tool to synchronize workflows (DAGs) between Codebase, Cloud Storage and Airflow metadata.
API de fuente de datos eficiente para ELT Pipeline, creada con Go. Aproveche el poder de Go con esta API de alto rendimiento para una recuperación de datos perfecta, complementando Python y otras herramientas en su proceso ELT.
Contains controller code that reconciles ElasticWorker and ElasticWorkerAutoscaler objects created in Kubernetes
Examples on how to Trigger a Google Cloud Composer DAG
Add a description, image, and links to the airflow topic page so that developers can more easily learn about it.
To associate your repository with the airflow topic, visit your repo's landing page and select "manage topics."