makistsantekidis / argo

Argo Workflows: Get stuff done with Kubernetes.

Home Page:https://argoproj.github.io/argo

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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. Commodus Tech
  9. CoreFiling
  10. Cratejoy
  11. Cyrus Biotechnology
  12. Datadog
  13. DataStax
  14. Equinor
  15. Fairwinds
  16. Gardener
  17. Gladly
  18. GitHub
  19. Google
  20. IBM
  21. InsideBoard
  22. Interline Technologies
  23. Intuit
  24. Karius
  25. KintoHub
  26. Localytics
  27. Maersk
  28. Max Kelsen
  29. Mirantis
  30. NVIDIA
  31. OVH
  32. Preferred Networks
  33. Quantibio
  34. Red Hat
  35. SAP Fieldglass
  36. SAP Hybris
  37. Styra
  38. Threekit
  39. Tiger Analytics

Community Blogs and Presentations

Project Resources

About

Argo Workflows: Get stuff done with Kubernetes.

https://argoproj.github.io/argo

License:Apache License 2.0


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