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## News

We are excited to welcome [Cyrus Biotechnology](https://cyrusbio.com/), [Google](https://www.google.com/intl/en/about/our-company/) and [NVIDIA](https://www.nvidia.com/) as corporate members of the Argo Community! They have been active users of Argo for some time now and have decided to increase their participation in both the use and development of Argo. If you actively use Argo at your company and believe that your company may be interested in actively participating in the Argo Community, please ask a representative to contact [email protected] for additional information.
We are excited to welcome [BlackRock](https://www.blackrock.com/) as the latest corporate member of the Argo Community! We are also thrilled that they have developed an eventing framework for Argo and have decided to contribute it to the Argo Community. Please check out the new repo and try Argo Events!

Updated community documents, including CLAs, are available [here](https://github.com/argoproj/argo/tree/master/community). These documents are essentially identical to those used by CNCF projects such as Kubernetes and are designed to protect Argo's contributors, users and Intuit, the current custodian of the Argo Project.

We will be scheduling the first Argo Community Meeting for the beginning of May to get to know each other, review the current Argo projects, and gather feedback for future projects. Please stay tuned for additional details.
If you actively use Argo in your organization and believe that your organization may be interested in actively participating in the Argo Community, please ask a representative to contact [email protected] for additional information.

## What is Argo?
Argo is an open source container-native workflow engine for getting work done on Kubernetes. Argo 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 steps or capture the dependencies between tasks using a graph (DAG).
* Easily leverage Kubernetes to run compute intensive jobs like data processing or machine learning jobs in a fraction of the time using Argo workflows.
* Run rich CI/CD pipelines using Docker-in-Docker, built-in artifact management, secret management and native access to other Kubernetes resources.
* 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?
* Argo is designed from the ground up for containers without the overhead and limitations of legacy VM and server-based environments.
* Argo is cloud agnostic and can run on any kubernetes cluster.
* Argo with Kubernetes puts a cloud-scale supercomputer at your fingertips.
* We want to make it as easy to run Argo workflows on Kubernetes as it is to run jobs on you laptop.

## Documentation
* [Get started here](https://github.com/argoproj/argo/blob/master/demo.md)
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Currently **officially** using Argo:

1. [BlackRock](https://www.blackrock.com/)
1. [CoreFiling](https://www.corefiling.com/)
1. [Cyrus Biotechnology](https://cyrusbio.com/)
1. [Datadog](https://www.datadoghq.com/)
1. [Gladly](https://gladly.com/)
1. [Google](https://www.google.com/intl/en/about/our-company/)
1. [Interline Technologies](https://www.interline.io/blog/scaling-openstreetmap-data-workflows/)
1. [Intuit](https://www.intuit.com/)
1. [NVIDIA](https://www.nvidia.com/)
1. [Interline Technologies](https://www.interline.io/blog/scaling-openstreetmap-data-workflows/)
1. [Datadog](https://www.datadoghq.com/)
1. [BlackRock](https://www.blackrock.com/)

## Presentations
* TGI Kubernetes with Joe Beda: [Argo workflow system](https://www.youtube.com/watch?v=M_rxPPLG8pU&start=859)

## Community Blogs
## Community Blogs and Presentations
* [Producing 200 OpenStreetMap extracts in 35 minutes using a scalable data workflow](https://www.interline.io/blog/scaling-openstreetmap-data-workflows/)
* [Argo integration review](https://dev.matt.hillsdon.net/2018/03/24/argo-integration-review.html)
* Please share your own thoughs
* TGI Kubernetes with Joe Beda: [Argo workflow system](https://www.youtube.com/watch?v=M_rxPPLG8pU&start=859)

## Project Resources
* Argo GitHub: https://github.com/argoproj
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