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  5. Rancher vs linkerd

Rancher vs linkerd

OverviewComparisonAlternatives

Overview

Rancher
Rancher
Stacks952
Followers1.5K
Votes644
linkerd
linkerd
Stacks132
Followers312
Votes7

Rancher vs linkerd: What are the differences?

Key Differences between Rancher and Linkerd

Rancher and Linkerd are both popular tools used in the Kubernetes ecosystem, but they have some key differences that set them apart. Here are the six main differences between Rancher and Linkerd:

  1. Infrastructure Level vs Service Mesh: Rancher is an open-source container management platform that helps manage and orchestrate containers at the infrastructure level, providing features like container deployment, scaling, networking, and storage management. On the other hand, Linkerd is a service mesh tool specifically built for microservices architectures, focusing on enhancing communication and observability within the services.

  2. Management vs Proxy Functionality: Rancher offers a comprehensive management interface and toolset for managing Kubernetes clusters, it helps with deploying, scaling, managing and monitoring the infrastructure. In contrast, Linkerd primarily focuses on providing transparent proxy functionality, handling service-to-service communication, load balancing, and implementing fine-grained control over traffic routing and policies.

  3. Multi-Cluster Support: Rancher has robust support for managing multiple Kubernetes clusters from a single centralized control plane. It enables users to create, manage, and operate multiple clusters across different environments and cloud providers. In contrast, Linkerd is primarily designed to operate within a single Kubernetes cluster and does not have built-in multi-cluster management capabilities.

  4. Centralized vs Decentralized Control: Rancher provides a centralized control plane that allows users to manage and operate multiple clusters. It offers features like centralized user authentication, RBAC (Role-Based Access Control), and centralized monitoring and logging. Linkerd, on the other hand, is a decentralized service mesh where each service communicates with other services through sidecar proxies, providing service-level control directly within the application.

  5. Service Discovery and Load Balancing: Rancher includes built-in service discovery and load balancing capabilities that allow services to dynamically discover and communicate with each other. It provides load balancing algorithms and integrates with external DNS services. Linkerd, being a service mesh, incorporates service discovery and load balancing as core features, including advanced load balancing strategies like automatic retries, circuit breaking, and latency-aware routing.

  6. Community and Ecosystem: Rancher has a wide and active community with a rich ecosystem of extensions and plugins. It has built-in support for various CI/CD tools, monitoring providers, and cloud providers. Linkerd also has an active community, but it is more focused on the service mesh space and offers integrations with popular observability tools like Prometheus and Grafana.

In summary, Rancher is a container management platform with multi-cluster support and provides infrastructure-level management, while Linkerd is a service mesh tool that focuses on enhancing service communication, observability, and fine-grained traffic control within a single cluster.

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Detailed Comparison

Rancher
Rancher
linkerd
linkerd

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.

linkerd is an out-of-process network stack for microservices. It functions as a transparent RPC proxy, handling everything needed to make inter-service RPC safe and sane--including load-balancing, service discovery, instrumentation, and routing.

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
Adaptive load-balancing;Fine-grained instrumentation;Abstractions over service discovery;Runtime traffic routing;Tech that's built for scale
Statistics
Stacks
952
Stacks
132
Followers
1.5K
Followers
312
Votes
644
Votes
7
Pros & Cons
Pros
  • 103
    Easy to use
  • 79
    Open source and totally free
  • 63
    Multi-host docker-compose support
  • 58
    Simple
  • 58
    Load balancing and health check included
Cons
  • 10
    Hosting Rancher can be complicated
Pros
  • 3
    CNCF Project
  • 1
    Light Weight
  • 1
    Pre-check permissions
  • 1
    Fast Integration
  • 1
    Service Mesh
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
No integrations available

What are some alternatives to Rancher, linkerd?

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.

Istio

Istio

Istio is an open platform for providing a uniform way to integrate microservices, manage traffic flow across microservices, enforce policies and aggregate telemetry data. Istio's control plane provides an abstraction layer over the underlying cluster management platform, such as Kubernetes, Mesos, etc.

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.

Azure Service Fabric

Azure Service Fabric

Azure Service Fabric is a distributed systems platform that makes it easy to package, deploy, and manage scalable and reliable microservices. Service Fabric addresses the significant challenges in developing and managing cloud apps.

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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