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  5. Argo vs Rancher Fleet

Argo vs Rancher Fleet

OverviewComparisonAlternatives

Overview

Argo
Argo
Stacks761
Followers470
Votes6
Rancher Fleet
Rancher Fleet
Stacks13
Followers72
Votes4
GitHub Stars1.6K
Forks248

Argo vs Rancher Fleet: What are the differences?

Comparison: Argo vs Rancher Fleet

Argo and Rancher Fleet are two popular tools for managing Kubernetes clusters. While they serve a similar purpose, there are several key differences between these two platforms.

  1. Installation and Setup: Argo requires manual installation on each cluster, where users need to deploy a set of components and configure them. On the other hand, Rancher Fleet provides a centralized management system that simplifies the installation and setup process across multiple clusters. It automates the deployment of agents on the clusters, making it easier to get started.

  2. Configuration Management: Argo focuses on GitOps principles and allows users to define the desired state of their Kubernetes resources in Git repositories. It provides features like declarative configuration management, automated rollouts, and rollbacks. Rancher Fleet, on the other hand, doesn't emphasize GitOps as much but provides a declarative way to manage and monitor Kubernetes clusters.

  3. Multi-Cluster Management: Rancher Fleet is specifically designed for managing multiple clusters efficiently. It offers features like cluster grouping, namespace mapping, and unified monitoring across clusters. Argo, on the other hand, primarily focuses on managing individual clusters and doesn't provide the same level of multi-cluster management capabilities as Rancher Fleet.

  4. User Interface: Rancher Fleet provides a user-friendly web-based interface that allows users to easily manage their clusters, applications, and configurations. It offers a centralized dashboard for all clusters and provides visualizations and monitoring capabilities. Argo, on the other hand, is more command-line driven, and while it does provide a web UI, it is not as feature-rich or user-friendly as Rancher Fleet's UI.

  5. API and Integration: Rancher Fleet provides a REST API that allows users to integrate it with other systems and automate tasks. It also supports webhook integrations for triggering actions based on events. Argo also provides an API, but its focus is more on integrating with CI/CD pipelines and Git repositories for automated deployments.

  6. Maturity and Community Support: Argo is widely used in the Kubernetes community and has a strong open-source community. It has been adopted by many organizations and is considered mature and stable. Rancher Fleet, on the other hand, is a relatively new tool and is part of the Rancher ecosystem. While it benefits from the strong support of the Rancher community, it may not have the same level of adoption and maturity as Argo.

In summary, Argo and Rancher Fleet differ in terms of installation and setup, configuration management approach, multi-cluster management capabilities, user interface, API and integration options, as well as maturity and community support. Both tools have their strengths and are suitable for different use cases and preferences.

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Detailed Comparison

Argo
Argo
Rancher Fleet
Rancher Fleet

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).

It is a Kubernetes cluster fleet controller specifically designed to address the challenges of running thousands to millions of clusters across the world. While it's designed for massive scale the concepts still apply for even small deployments of less than 10 clusters. It is lightweight enough to run on the smallest of deployments too and even has merit in a single node cluster managing only itself.

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
Kubernetes cluster fleet controller; Designed for massive scale; Lightweight; Ensure that deployments are consistents across clusters
Statistics
GitHub Stars
-
GitHub Stars
1.6K
GitHub Forks
-
GitHub Forks
248
Stacks
761
Stacks
13
Followers
470
Followers
72
Votes
6
Votes
4
Pros & Cons
Pros
  • 3
    Open Source
  • 2
    Autosinchronize the changes to deploy
  • 1
    Online service, no need to install anything
Pros
  • 2
    UI Integration
  • 1
    Scalability
  • 1
    Enterprise support
Integrations
Kubernetes
Kubernetes
Docker
Docker
Kubernetes
Kubernetes

What are some alternatives to Argo, Rancher Fleet?

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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