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  1. Stackups
  2. DevOps
  3. Continuous Deployment
  4. Continuous Deployment
  5. Argo vs Spinnaker

Argo vs Spinnaker

OverviewComparisonAlternatives

Overview

Spinnaker
Spinnaker
Stacks233
Followers358
Votes14
GitHub Stars9.6K
Forks1.2K
Argo
Argo
Stacks763
Followers470
Votes6

Argo vs Spinnaker: What are the differences?

Comparison between Argo and Spinnaker

Argo and Spinnaker are two popular open-source tools used for cloud-native application deployment and management. While both tools aim to simplify the deployment process and offer advanced features, there are several key differences between them.

  1. Workflow execution: Argo provides a more flexible and customizable workflow execution model compared to Spinnaker. With Argo, users can define complex workflows using a declarative Yaml file, allowing for greater control and customization. Spinnaker, on the other hand, follows a more prescriptive pipeline-based approach, which can be easier to get started with but may lack some of the fine-grained control that Argo offers.

  2. Kubernetes-native: Argo is designed specifically for Kubernetes and leverages its underlying features and functionalities to provide seamless integration. It offers native support for Kubernetes resources and runs directly within the Kubernetes cluster, making it an ideal choice for organizations heavily invested in Kubernetes. Spinnaker, while also capable of deploying to Kubernetes, is a more general-purpose tool that can work with multiple cloud providers and non-Kubernetes environments, making it more versatile but potentially requiring more configuration.

  3. Community and ecosystem: Spinnaker has been around for a longer time and has a more mature and established community compared to Argo. Spinnaker has a larger user base, extensive documentation, and a wide range of plugins and integrations available, making it a more robust and well-supported choice for enterprise deployments. On the other hand, Argo is gaining popularity rapidly, especially within the Kubernetes community, and has an active and growing community, but its ecosystem may not be as extensive as that of Spinnaker yet.

  4. CD tooling: Spinnaker offers a rich set of built-in continuous delivery (CD) tooling and features, including advanced deployment strategies like canary deployments and rolling updates. These features make it a more comprehensive and feature-rich CD platform compared to Argo. While Argo provides basic CD capabilities, it may require additional tools or customizations to achieve the same level of CD feature set as Spinnaker.

  5. Integration with other tools: Spinnaker has better integration capabilities with other tools commonly used in the Continuous Integration/Continuous Delivery (CI/CD) pipeline. It has built-in support for popular CI tools like Jenkins and Travis CI, and also integrates with artifact repositories like Artifactory and Docker Registry seamlessly. Argo, while being extensible and customizable, may require additional effort for integrating with other tools and services outside the Kubernetes ecosystem.

  6. User interface and user experience: Spinnaker provides a highly intuitive and feature-rich web-based user interface (UI), which enables users to easily manage and visualize application deployments. The UI offers a comprehensive view of deployment pipelines and stages, making it easy to track the progress and status of deployments. Argo, on the other hand, offers a more minimalistic UI, primarily driven through command-line interface (CLI) interactions, which may require a steeper learning curve and may not provide the same level of visual representation as Spinnaker.

In summary, Argo offers a more flexible workflow execution model and deep integration with Kubernetes, while Spinnaker excels in its extensive CD tooling, larger community, and better integration with other tools commonly used in the CI/CD pipeline. The choice between Argo and Spinnaker ultimately depends on the specific requirements and ecosystem of the organization.

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Detailed Comparison

Spinnaker
Spinnaker
Argo
Argo

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.

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).

-
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
Statistics
GitHub Stars
9.6K
GitHub Stars
-
GitHub Forks
1.2K
GitHub Forks
-
Stacks
233
Stacks
763
Followers
358
Followers
470
Votes
14
Votes
6
Pros & Cons
Pros
  • 14
    Mature
Cons
  • 3
    No GitOps
  • 1
    Ease of use
  • 1
    Configuration time
  • 1
    Management overhead
Pros
  • 3
    Open Source
  • 2
    Autosinchronize the changes to deploy
  • 1
    Online service, no need to install anything
Integrations
Stackdriver
Stackdriver
Packer
Packer
Prometheus
Prometheus
Chef
Chef
Jenkins
Jenkins
Docker
Docker
Puppet Labs
Puppet Labs
Amazon EC2
Amazon EC2
GitHub
GitHub
Google Kubernetes Engine
Google Kubernetes Engine
Kubernetes
Kubernetes
Docker
Docker

What are some alternatives to Spinnaker, Argo?

Kubernetes

Kubernetes

Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.

Rancher

Rancher

Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.

Buddy

Buddy

Git platform for web and software developers with Docker-based tools for Continuous Integration and Deployment.

Docker Compose

Docker Compose

With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running.

Docker Swarm

Docker Swarm

Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.

Tutum

Tutum

Tutum lets developers easily manage and run lightweight, portable, self-sufficient containers from any application. AWS-like control, Heroku-like ease. The same container that a developer builds and tests on a laptop can run at scale in Tutum.

Portainer

Portainer

It is a universal container management tool. It works with Kubernetes, Docker, Docker Swarm and Azure ACI. It allows you to manage containers without needing to know platform-specific code.

Cloud 66

Cloud 66

Cloud 66 gives you everything you need to build, deploy and maintain your applications on any cloud, without the headache of dealing with "server stuff". Frameworks: Ruby on Rails, Node.js, Jamstack, Laravel, GoLang, and more.

DeployBot

DeployBot

DeployBot makes it simple to deploy your work anywhere. You can compile or process your code in a Docker container on our infrastructure, and we'll copy it to your servers once everything has been successfully built.

Codefresh

Codefresh

Automate and parallelize testing. Codefresh allows teams to spin up on-demand compositions to run unit and integration tests as part of the continuous integration process. Jenkins integration allows more complex pipelines.

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