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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 directed acyclic 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. Argo Workflows is the most popular workflow execution engine for Kubernetes. It can run 1000s of workflows a day, each with 1000s of concurrent tasks. Our users say it is lighter-weight, faster, more powerful, and easier to use. Designed from the ground up for containers without the overhead and limitations of legacy VM and server-based environments.
Features
- Cloud agnostic and can run on any Kubernetes cluster
- Our users say it is lighter-weight, faster, more powerful, and easier to use
- It can run 1000s of workflows a day, each with 1000s of concurrent tasks
- Argo Workflows is the most popular workflow execution engine for Kubernetes
- Define workflows where each step in the workflow is a containerEasily run compute intensive jobs for machine learning or data processing in a fraction of the time using Argo Workflows on Kubernetes
Project Samples
