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  1. Stackups
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  3. Gardener vs Rancher

Gardener vs Rancher

OverviewComparisonAlternatives

Overview

Rancher
Rancher
Stacks970
Followers1.5K
Votes644
Gardener
Gardener
Stacks16
Followers41
Votes2
GitHub Stars3.3K
Forks540

Gardener vs Rancher: What are the differences?

Comparison between Gardener and Rancher

Gardener and Rancher are both popular container management platforms that offer features for deploying and managing containerized applications. However, they have key differences that make them suitable for different use cases. Here are the key differences between Gardener and Rancher:

  1. Architecture: Gardener is built on top of Kubernetes and is designed to support multi-cluster and multi-cloud scenarios. It provides a unified control plane for managing multiple Kubernetes clusters across different cloud providers. On the other hand, Rancher is a standalone platform that can manage Kubernetes clusters as well as other container orchestration systems like Docker Swarm and Apache Mesos. It offers a centralized management interface for all types of container orchestration platforms.

  2. Deployment: Gardener focuses on automated cluster provisioning and deployment. It provides a declarative approach for defining cluster specifications and uses infrastructure-as-code principles to provision clusters on-demand. Rancher, on the other hand, allows for both automated and manual cluster provisioning. It offers a user-friendly web interface for deploying and managing clusters, making it suitable for users who prefer a GUI-based approach.

  3. Supported Platforms: Gardener supports a wide range of cloud providers, including public providers like AWS, Azure, and GCP, as well as private cloud platforms like OpenStack and VMware. It also offers support for on-premises deployments. Rancher, on the other hand, supports a similar set of cloud providers but also provides support for bare-metal deployments, making it suitable for both cloud and edge computing scenarios.

  4. Ecosystem Integrations: Gardener integrates well with the Kubernetes ecosystem, leveraging the rich set of tools and services available in the Kubernetes community. It supports the deployment of Helm charts, customization via Kubernetes Operators, and seamless integration with popular CI/CD tools. Rancher, on the other hand, has a strong ecosystem of its own, with its own marketplace of applications and tools. It provides a wide range of built-in integrations with third-party services, making it suitable for users who want an all-in-one platform.

  5. Scalability and Availability: Gardener is designed to be highly scalable and resilient. It supports the automatic scaling of clusters, allowing users to scale up or down based on resource demands. It also provides built-in mechanisms for high availability, ensuring that clusters remain operational even in the event of failures. Rancher, on the other hand, provides similar scalability and availability features but also offers advanced capabilities like workload scheduling and resource allocation policies for fine-grained control.

  6. Community and Support: Gardener is an open-source project and has an active community of contributors. It benefits from the extensive support and collaboration of the Kubernetes community. Rancher, on the other hand, is developed by Rancher Labs and offers commercial support options along with its open-source offering. It provides enterprise-grade support and additional features that cater to the needs of organizations with more specific requirements.

In summary, Gardener and Rancher are container management platforms with different architectural approaches and target use cases. Gardener focuses on multi-cluster and multi-cloud scenarios with automated provisioning and Kubernetes ecosystem integrations, while Rancher offers a more versatile platform with support for multiple container orchestration systems, bare-metal deployments, and a wide range of built-in integrations.

Detailed Comparison

Rancher
Rancher
Gardener
Gardener

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.

Many Open Source tools exist which help in creating and updating single Kubernetes clusters. However, the more clusters you need the harder it becomes to operate, monitor, manage and keep all of them alive and up-to-date. And that is exactly what project Gardener focuses on.

Manage Hosts, Deploy Containers, Monitor Resources;User Management & Collaboration;Native Docker APIs & Tools;Monitoring and Logging;Connect Containers, Manage Disks, Deploy Load Balancers;Docker App Catalog; Included Kubernetes Distribution;Included Docker Swarm Distribution; Included Mesos Distribution;Infrastructure Management
Central dashboard for comfortable interaction - enables users to easily keep track of their clusters’ health, and operators to monitor, debug, and analyze the clusters they are responsible for; Command line client - simplifies administrative tasks by introducing easy higher-level abstractions with simple commands that allow to condense and multiplex information & actions from/to a set of seed and shoot clusters
Statistics
GitHub Stars
-
GitHub Stars
3.3K
GitHub Forks
-
GitHub Forks
540
Stacks
970
Stacks
16
Followers
1.5K
Followers
41
Votes
644
Votes
2
Pros & Cons
Pros
  • 103
    Easy to use
  • 79
    Open source and totally free
  • 63
    Multi-host docker-compose support
  • 58
    Load balancing and health check included
  • 58
    Simple
Cons
  • 10
    Hosting Rancher can be complicated
Pros
  • 2
    It works across clouds and on-prem
Integrations
Jenkins
Jenkins
Datadog
Datadog
Google Compute Engine
Google Compute Engine
Docker Compose
Docker Compose
Amazon EC2
Amazon EC2
DigitalOcean
DigitalOcean
GitHub
GitHub
Docker
Docker
Kubernetes
Kubernetes
Drone.io
Drone.io
Kubernetes
Kubernetes

What are some alternatives to Rancher, Gardener?

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.

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.

Nomad

Nomad

Nomad is a cluster manager, designed for both long lived services and short lived batch processing workloads. Developers use a declarative job specification to submit work, and Nomad ensures constraints are satisfied and resource utilization is optimized by efficient task packing. Nomad supports all major operating systems and virtualized, containerized, or standalone applications.

Apache Mesos

Apache Mesos

Apache Mesos is a cluster manager that simplifies the complexity of running applications on a shared pool of servers.

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.

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