Stacks91

Followers105

+ 1

Votes0

Skaffold

Stacks46

Followers103

+ 1

Votes0

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Argo vs Skaffold: What are the differences?

Argo: Container-native workflows for Kubernetes. 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); Skaffold: Easy and Repeatable Kubernetes Development. Skaffold is a command line tool that facilitates continuous development for Kubernetes applications. You can iterate on your application source code locally then deploy to local or remote Kubernetes clusters. Skaffold handles the workflow for building, pushing and deploying your application. It can also be used in an automated context such as a CI/CD pipeline to leverage the same workflow and tooling when moving applications to production.

Argo and Skaffold can be categorized as "Container" tools.

Some of the features offered by Argo are:

DAG or Steps based declaration of workflows
Artifact support (S3, Artifactory, HTTP, Git, raw)
Step level input & outputs (artifacts/parameters)

On the other hand, Skaffold provides the following key features:

No server-side component. No overhead to your cluster.
Detect changes in your source code and automatically build/push/deploy.
Image tag management. Stop worrying about updating the image tags in Kubernetes manifests to push out changes during development.

Argo and Skaffold are both open source tools. It seems that Skaffold with 7.16K GitHub stars and 589 forks on GitHub has more adoption than Argo with 3.25K GitHub stars and 455 GitHub forks.

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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).

What is Skaffold?

Skaffold is a command line tool that facilitates continuous development for Kubernetes applications. You can iterate on your application source code locally then deploy to local or remote Kubernetes clusters. Skaffold handles the workflow for building, pushing and deploying your application. It can also be used in an automated context such as a CI/CD pipeline to leverage the same workflow and tooling when moving applications to production.

What companies use Argo?

What companies use Skaffold?

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What tools integrate with Argo?

What tools integrate with Skaffold?

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Blog Posts

AI/ML Pipelines Using Open Data Hub and Kubeflow on Red Hat Op...

Jan 29, 2020 at 2:08PM

Red Hat, Inc.

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What are some alternatives to Argo and Skaffold?

Airflow

Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.

Flux

Flux is the application architecture that Facebook uses for building client-side web applications. It complements React's composable view components by utilizing a unidirectional data flow. It's more of a pattern rather than a formal framework, and you can start using Flux immediately without a lot of new code.

Jenkins

In a nutshell Jenkins CI is the leading open-source continuous integration server. Built with Java, it provides over 300 plugins to support building and testing virtually any project.

Spinnaker

Created at Netflix, it has been battle-tested in production by hundreds of teams over millions of deployments. It combines a powerful and flexible pipeline management system with integrations to the major cloud providers.

Kubeflow

The Kubeflow project is dedicated to making Machine Learning on Kubernetes easy, portable and scalable by providing a straightforward way for spinning up best of breed OSS solutions.

See all alternatives

Interest over time

Argo vs Skaffold