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

Argo vs Fleet

OverviewComparisonAlternatives

Overview

Fleet
Fleet
Stacks13
Followers39
Votes0
GitHub Stars2.4K
Forks301
Argo
Argo
Stacks763
Followers471
Votes6

Argo vs Fleet: What are the differences?

Introduction

In the world of Kubernetes, both Argo and Fleet are popular tools for managing applications and clusters. While both serve similar purposes, there are some key differences between them. In this article, we will explore these differences and understand when to use each tool.

  1. Installation and Architecture: Argo follows a client-server architecture where it requires installation and configuration of a central server component. On the other hand, Fleet uses a more decentralized approach and can be installed as a lightweight client component on each cluster.

  2. GitOps vs ClusterOps: Argo primarily focuses on GitOps workflows, enabling teams to manage their applications and configuration files using Git repositories. Fleet, on the other hand, is more focused on managing clusters and infrastructure, allowing you to maintain multiple clusters simultaneously.

  3. Flexibility vs Standardization: Argo provides a higher degree of flexibility, allowing you to define custom workflows and specify fine-grained details of your application deployments. Fleet, on the other hand, follows a more standardized approach, providing a set of predefined workflows and configuration options for managing clusters.

  4. UI vs CLI: Argo has a web-based user interface that allows users to interact with the tool visually. It provides a rich set of features like application visualization and on-demand job execution. Fleet, on the other hand, is primarily driven through a command-line interface (CLI) and does not have a dedicated web interface.

  5. Community and Ecosystem: Argo has a larger and more active community, which has resulted in a broader range of integrations and plugins. It is well-documented and has a vibrant ecosystem of contributors. Fleet, being a newer tool, has a smaller community and ecosystem in comparison.

  6. Maturity and Stability: Argo has been around for a longer time and has gained maturity with each release. It has been extensively tested and is considered to be a stable tool for managing applications in Kubernetes. Fleet, being a relatively new tool, may have fewer features and stability concerns due to its evolving nature.

In summary, while Argo and Fleet both offer solutions for managing applications and clusters in Kubernetes, Argo provides more flexibility, focuses on GitOps workflows, and has a larger community and ecosystem. On the other hand, Fleet follows a more standardized approach, is focused on cluster management, and is still evolving with a smaller but growing community.

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Detailed Comparison

Fleet
Fleet
Argo
Argo

Fleet is a low-level cluster engine that feels like a distributed init system. With fleet, you can treat your CoreOS cluster as if it shared a single init system.

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).

Deploy docker containers on arbitrary hosts in a cluster;Distribute services across a cluster using machine-level anti-affinity;Maintain N instances of a service, re-scheduling on machine failure;Discover machines running in the cluster;Automatically SSH into the machine running a job
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
2.4K
GitHub Stars
-
GitHub Forks
301
GitHub Forks
-
Stacks
13
Stacks
763
Followers
39
Followers
471
Votes
0
Votes
6
Pros & Cons
No community feedback yet
Pros
  • 3
    Open Source
  • 2
    Autosinchronize the changes to deploy
  • 1
    Online service, no need to install anything
Integrations
No integrations available
Kubernetes
Kubernetes
Docker
Docker

What are some alternatives to Fleet, 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.

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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