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  1. Stackups
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  4. Container Tools
  5. Argo vs Okteto

Argo vs Okteto

OverviewComparisonAlternatives

Overview

Argo
Argo
Stacks764
Followers471
Votes6
Okteto
Okteto
Stacks14
Followers42
Votes0

Argo vs Okteto: What are the differences?

## Introduction
This Markdown code highlights the key differences between Argo and Okteto for easy reference.

1. **Deployment Approach**: Argo primarily focuses on providing tools for managing and running Kubernetes workflows, while Okteto is more geared towards enabling developers to build, test, and debug applications directly in Kubernetes clusters.
2. **Scope of Features**: Argo offers a wider range of features related to workflow orchestration, automation, and CI/CD pipelines, whereas Okteto specializes in improving the development experience by providing tools like live-reloading and hot-swapping of code within Kubernetes environments.
3. **User Target**: Argo is designed for DevOps and infrastructure teams to streamline complex workflows and automate tasks in Kubernetes, whereas Okteto caters more towards developers who want a faster and more iterative development experience on Kubernetes.
4. **Integration with IDEs**: Okteto provides seamless integration with popular IDEs like VS Code and JetBrains IDEs for a comfortable development experience, while Argo lacks such specific integrations tailored for developers.
5. **Community Support**: Argo benefits from a large community of users and contributors that actively contribute to its development and provide support, whereas Okteto has been gaining traction in the developer community but may have a smaller user base compared to Argo.
6. **Pricing Model**: Argo follows an open-source model, making its core features freely available, with additional premium features offered through subscriptions or enterprise versions, while Okteto also provides a free tier for individual developers but may have different pricing structures for teams and enterprises.

In Summary, the key differences between Argo and Okteto lie in their deployment approach, scope of features, user target, integration with IDEs, community support, and pricing model, catering to different needs within the Kubernetes ecosystem.

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Detailed Comparison

Argo
Argo
Okteto
Okteto

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).

An application development platform for Kubernetes that helps developers to quickly iterate and improve their test decision time by 4x.

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
Reduce integration efforts; Team Collaboration; Lighter-weight dev machines; Use your own tools
Statistics
Stacks
764
Stacks
14
Followers
471
Followers
42
Votes
6
Votes
0
Pros & Cons
Pros
  • 3
    Open Source
  • 2
    Autosinchronize the changes to deploy
  • 1
    Online service, no need to install anything
No community feedback yet
Integrations
Kubernetes
Kubernetes
Docker
Docker
Docker
Docker
Kubernetes
Kubernetes

What are some alternatives to Argo, Okteto?

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.

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.

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.

CAST.AI

CAST.AI

It is an AI-driven cloud optimization platform for Kubernetes. Instantly cut your cloud bill, prevent downtime, and 10X the power of DevOps.

k3s

k3s

Certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. Supports something as small as a Raspberry Pi or as large as an AWS a1.4xlarge 32GiB server.

Flocker

Flocker

Flocker is a data volume manager and multi-host Docker cluster management tool. With it you can control your data using the same tools you use for your stateless applications. This means that you can run your databases, queues and key-value stores in Docker and move them around as easily as the rest of your app.

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