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Argo Workflows: Get stuff done with Kubernetes.
workflow kubernetes argo dag knative airflow machine-learning argo-workflows workflow-engine
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@dtaniwaki @sarabala1979
dtaniwaki and sarabala1979 Store locally referenced template properly (#1670)
Latest commit 095d67f Oct 17, 2019
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ARCHITECTURE.md Added Architecture doc (#1515) Aug 5, 2019
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CODE_OF_CONDUCT.md Initial project structure. CLI and Workflow CRD skeleton Oct 17, 2017
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Dockerfile Fixed #1287 Executor kubectl version is obsolete (#1513) Jul 31, 2019
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argo.png Initial project structure. CLI and Workflow CRD skeleton Oct 17, 2017
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README.md

slack

Argoproj - Get stuff done with Kubernetes

Argo Image

Quickstart

kubectl create namespace argo
kubectl apply -n argo -f https://raw.githubusercontent.com/argoproj/argo/stable/manifests/install.yaml

News

KubeCon 2018 in Seattle was the biggest KubeCon yet with 8000 developers attending. We connected with many existing and new Argoproj users and contributions, and gave away a lot of Argo T-shirts at our booth sponsored by Intuit!

We were also super excited to see KubeCon presentations about Argo by Argo developers, users and partners.

If you actively use Argo in your organization and your organization would be interested in participating in the Argo Community, please ask a representative to contact saradhi_sreegiriraju@intuit.com for additional information.

What is Argoproj?

Argoproj is a collection of tools for getting work done with Kubernetes.

  • Argo Workflows - Container-native Workflow Engine
  • Argo CD - Declarative GitOps Continuous Delivery
  • Argo Events - Event-based Dependency Manager
  • Argo Rollouts - Deployment CR with support for Canary and Blue Green deployment strategies

What is Argo Workflows?

Argo Workflows is an open source container-native workflow engine for orchestrating parallel jobs on Kubernetes. Argo Workflows is implemented as a Kubernetes CRD (Custom Resource Definition).

  • Define workflows where each step in the workflow is a container.
  • Model multi-step workflows as a sequence of tasks or capture the dependencies between tasks using a graph (DAG).
  • Easily run compute intensive jobs for machine learning or data processing in a fraction of the time using Argo Workflows on Kubernetes.
  • Run CI/CD pipelines natively on Kubernetes without configuring complex software development products.

Why Argo Workflows?

  • Designed from the ground up for containers without the overhead and limitations of legacy VM and server-based environments.
  • Cloud agnostic and can run on any Kubernetes cluster.
  • Easily orchestrate highly parallel jobs on Kubernetes.
  • Argo Workflows puts a cloud-scale supercomputer at your fingertips!

Documentation

Features

  • DAG or Steps based declaration of workflows
  • Artifact support (S3, Artifactory, HTTP, Git, raw)
  • Step level input & outputs (artifacts/parameters)
  • Loops
  • Parameterization
  • Conditionals
  • Timeouts (step & workflow level)
  • Retry (step & workflow level)
  • Resubmit (memoized)
  • Suspend & Resume
  • Cancellation
  • K8s resource orchestration
  • Exit Hooks (notifications, cleanup)
  • Garbage collection of completed workflow
  • Scheduling (affinity/tolerations/node selectors)
  • Volumes (ephemeral/existing)
  • Parallelism limits
  • Daemoned steps
  • DinD (docker-in-docker)
  • Script steps

Who uses Argo?

As the Argo Community grows, we'd like to keep track of our users. Please send a PR with your organization name.

Currently officially using Argo:

  1. Adevinta
  2. Admiralty
  3. Adobe
  4. Alibaba Cloud
  5. BlackRock
  6. Canva
  7. Codec
  8. CoreFiling
  9. Cratejoy
  10. Cyrus Biotechnology
  11. Datadog
  12. DataStax
  13. Equinor
  14. Gardener
  15. Gladly
  16. GitHub
  17. Google
  18. IBM
  19. Interline Technologies
  20. Intuit
  21. Karius
  22. KintoHub
  23. Localytics
  24. Max Kelsen
  25. Mirantis
  26. NVIDIA
  27. OVH
  28. Preferred Networks
  29. Quantibio
  30. SAP Fieldglass
  31. SAP Hybris
  32. Styra
  33. Threekit
  34. Commodus Tech
  35. Maersk

Community Blogs and Presentations

Project Resources

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