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  5. containerd vs k3s

containerd vs k3s

OverviewComparisonAlternatives

Overview

containerd
containerd
Stacks81
Followers140
Votes5
k3s
k3s
Stacks97
Followers252
Votes16

containerd vs k3s: What are the differences?

Introduction:

In this markdown code, we will provide the key differences between containerd and k3s. Both containerd and k3s are popular container runtimes used in the field of containerization. Containerd is a lightweight, open-source container runtime that provides a reliable and scalable runtime for containers, while k3s is a lightweight Kubernetes distribution designed for edge computing scenarios. Now, let's delve into the key differences between these two technologies.

  1. Architecture: Containerd is designed as a client-server architecture where the client interacts with the containerd daemon using the containerd API. On the other hand, k3s is a single-binary lightweight Kubernetes distribution that packages the Kubernetes control plane components and the kubelet into a single binary, simplifying the deployment and management of Kubernetes clusters.

  2. Ease of Deployment: Containerd is typically deployed as a container runtime within a larger container orchestration platform such as Kubernetes. It provides a foundation for managing container lifecycle and basic functionality. In contrast, k3s is designed to be a lightweight and easy-to-deploy Kubernetes distribution, optimized for resource-constrained environments.

  3. Resource Requirements: Containerd has relatively lower system resource requirements, as it is a container runtime focused on providing the core functionality for running containers. On the other hand, k3s has slightly higher resource requirements due to its inclusion of the full Kubernetes control plane components.

  4. Feature Set: Containerd provides a minimalistic set of features focused on container runtime functionality, such as managing container lifecycle, image management, and basic networking. It does not provide higher-level orchestration features or advanced networking functionality. In contrast, k3s includes a full-fledged Kubernetes feature set, providing advanced orchestration capabilities, networking, and storage features out of the box.

  5. Deployment Size: Due to its lightweight architecture, containerd has a smaller deployment size compared to k3s. Containerd focuses on providing a container runtime with essential features, resulting in a smaller deployment footprint. On the other hand, k3s includes additional components for Kubernetes orchestration, resulting in a larger deployment size.

  6. Community Support: Both containerd and k3s have strong community support with active development and maintenance. However, containerd has gained broader adoption as a core component in container platforms and has a larger community compared to k3s, which is a more specialized lightweight Kubernetes distribution.

In summary, containerd is a lightweight container runtime focused on providing core container functionality, while k3s is a lightweight Kubernetes distribution designed for resource-constrained environments. Containerd has a client-server architecture, while k3s is a single-binary distribution. Containerd has lower resource requirements, a smaller deployment size, and a minimalistic feature set compared to k3s, which includes a full Kubernetes feature set but has higher resource requirements and a larger deployment size. Both technologies have strong community support.

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Detailed Comparison

containerd
containerd
k3s
k3s

An industry-standard container runtime with an emphasis on simplicity, robustness, and portability

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.

OCI Image Spec support; OCI Runtime Spec support (aka runC); Image push and pull support; Container runtime and lifecycle support; Network primitives for creation, modification, and deletion of interfaces; Multi-tenant supported with CAS storage for global images; Management of network namespaces containers to join existing namespaces
ARM64 and ARMv7 support; Simplified installation; SQLite3 support; etcd support; Automatic Manifest and Helm Chart management; containerd, CoreDNS, Flannel support
Statistics
Stacks
81
Stacks
97
Followers
140
Followers
252
Votes
5
Votes
16
Pros & Cons
Pros
  • 3
    No Need for docker shim
  • 2
    Supports Kubernetes version greater than 1.21
  • 0
    Needs docker shim to work on kubernetes
  • 0
    No kubernetes support after 1.22
Pros
  • 6
    Lightweight
  • 4
    Easy
  • 2
    Scale Services
  • 2
    Open Source
  • 2
    Replication Controller
Integrations
No integrations available
Kubernetes
Kubernetes
SQLite
SQLite

What are some alternatives to containerd, k3s?

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.

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.

Kitematic

Kitematic

Simple Docker App management for Mac OS X

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