This repository compares the features, configurations, and implementations of four popular orchestration tools—Argo Workflows, Apache Airflow, Tekton, and Kestra—by implementing a common pipeline.
The pipeline being implemented is defined as follows:
graph TD;
A-->D;
B-->D;
C-->E;
C-->F;
D-->E;
D-->G;
F-->G;
Each tool has its own folder in the repository, containing:
- An example implementation of the pipeline.
- A detailed README explaining how to install, configure, and run the tool for this use case.
Argo Workflows is a Kubernetes-native workflow orchestration tool designed to run parallel and distributed workloads.
Features:
- DAG-based orchestration.
- Scales seamlessly with Kubernetes.
- Supports dynamic workflows.
Apache Airflow is a platform to programmatically author, schedule, and monitor workflows.
Features:
- Python-based DAG definitions.
- Rich UI for monitoring workflows.
- Suitable for both cloud and on-premise use cases.
Tekton is a Kubernetes-native CI/CD system that can define and execute workflows as Kubernetes CRDs (Custom Resource Definitions).
Features:
- Kubernetes-native with strong CI/CD focus.
- Pipeline as code.
- High flexibility with task chaining.
Kestra is an orchestration tool for complex workflows, designed for distributed systems.
Features:
- Plugins for integration with diverse systems.
- Declarative workflow definitions.
- Scales efficiently for large pipelines.
Contributions to improve the implementations or add other orchestration tools are welcome! To contribute:
- Fork this repository.
- Create a new branch for your changes.
- Submit a pull request with a description of your changes.
This repository is licensed under the Apache License 2.0.