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Awesome Argo

A curated list of awesome projects and resources related to Argo, a Cloud Native Computing Foundation (CNCF) hosted project.

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What is Argo?

Argo consists of a set of open source tools for deploying and running applications and workloads on Kubernetes, including:

  • Argo Workflows: Kubernetes-native workflow engine supporting DAG and step-based workflows.
  • Argo CD: Declarative continuous delivery with a fully-loaded UI.
  • Argo Rollouts: Advanced Kubernetes deployment strategies such as Canary and Blue-Green made easy.
  • Argo Events: Event based dependency management for Kubernetes.

In addition, argoproj-labs is a separate GitHub org for community contributions related to the Argo ecosystem.

Table of Contents

Ecosystem Projects

This section includes selected projects from argoproj-labs as well as other open source projects that use Argo.

  • GitOps Engine contains various GitOps operators that address different use-cases and provide different user experiences but all have similar set of core features.
  • Argo CD Notifications continuously monitors Argo CD applications and provides a flexible way to notify users about important changes in the applications state.
  • Argo CD ApplicationSet manages multiple Argo CD Applications as a single ApplicationSet unit, supporting deployments to large numbers of clusters, deployments of large monorepos, and enabling secure Application self-service.
  • Argo CD Image Updater is a tool to automatically update the container images of Kubernetes workloads which are managed by Argo CD.
  • Argo CD Operator is a Kubernetes operator for managing Argo CD clusters.
  • Argo CD Extensions enables extensions for Argo CD.
  • Argo Rollout Extension contains the Argo Rollout dashboard that can be added into the Argo CD Web UI.
  • Argo Dataflow is a Kubernetes-native platform for executing large parallel data-processing pipelines.
  • Couler provides a unified interface for constructing and managing workflows on different workflow engines.
  • Katib is a Kubernetes-native project for automated machine learning (AutoML).
  • Kedro is an open-source Python framework for creating reproducible, maintainable and modular data science code.
  • Kubeflow Pipelines is a machine learning (ML) toolkit that is dedicated to making deployments of ML workflows on Kubernetes simple, portable, and scalable with Kubeflow.
  • Onepanel is the open source, end-to-end computer vision platform.
  • Ploomber helps overcome the challenges of working with Jupyter notebooks and allows teams to develop collaborative, production-ready pipelines using JupyterLab or any text editor.
  • Seldon is an MLOps framework to package, deploy, monitor and manage thousands of production machine learning models.
  • SQLFlow extends SQL to support AI and compiles the SQL program to a workflow that runs on Kubernetes.
  • Hera Workflows is an Argo Workflows Python SDK that aims to make workflow construction and submission easy and accessible to everyone.

Books

  • GitOps and Kubernetes teaches you how to use Git and the GitOps methodology to manage a Kubernetes cluster. The book interleaves theory with practice, presenting core Ops concepts alongside easy-to-implement techniques so you can put GitOps into action. Learn to develop pipelines that trace changes, roll back mistakes, and audit container deployment.
  • Distributed Machine Learning Patterns teaches you how to take machine learning models from your personal laptop to large distributed clusters. You’ll explore key concepts and patterns behind successful distributed machine learning systems, and learn technologies like TensorFlow, Kubernetes, Kubeflow, and Argo Workflows with real-world scenarios and hands-on projects.

Blog Posts

Videos

Community

Acknowledgement

Some of the blogposts and videos are selected from Argo's community blogs and presentations.

Thanks to the contributors who've submitted pull requests to add the original references to the following locations:

awesome-argo's People

Contributors

terrytangyuan avatar thiago4int avatar

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