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Flagger vs Argo: What are the differences?

Flagger: Progressive delivery Kubernetes operator. Progressive Delivery operator for Kubernetes (Canary, A/B Testing and Blue/Green deployments); 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).

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

Some of the features offered by Flagger are:

  • Flexible Traffic Routing
  • Extensible Validation
  • Progressive Delivery

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

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

Argo is an open source tool with 6.81K GitHub stars and 1.19K GitHub forks. Here's a link to Argo's open source repository on GitHub.

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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 Flagger?

    Progressive Delivery operator for Kubernetes (Canary, A/B Testing and Blue/Green deployments)

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    What companies use Argo?
    What companies use Flagger?
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    What tools integrate with Argo?
    What tools integrate with Flagger?

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    What are some alternatives to Argo and Flagger?
    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.
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