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  5. LXC vs rkt

LXC vs rkt

OverviewComparisonAlternatives

Overview

rkt
rkt
Stacks29
Followers112
Votes10
LXC
LXC
Stacks116
Followers223
Votes19
GitHub Stars5.0K
Forks1.2K

LXC vs rkt: What are the differences?

Introduction

In this article, we will discuss the key differences between LXC and rkt container runtimes.

  1. Container Technology LXC (Linux Containers) is an operating system-level virtualization method that allows running multiple isolated Linux systems (containers) on a single host. It uses Linux kernel features like namespaces, cgroups, and chroot to provide resource and process isolation. On the other hand, rkt is a container runtime developed by CoreOS that focuses on security, simplicity, and composability. It follows the container-runtime specification and can run Docker images as well.

  2. Image Format LXC uses a traditional image format called LXCFS (Linux Container Filesystem). This format contains a tarball with a full root filesystem. In contrast, rkt uses the App Container Image (ACI) format, which consists of a compressed tarball that contains both the application and its dependencies. The ACI format is lightweight, easier to distribute, and provides better security by separating the application from the underlying OS.

  3. Networking Model LXC uses the traditional networking model, where containers share the network namespace with the host. This means that containers can have their own IP addresses and maintain direct network connections. In contrast, rkt follows a more secure and isolated networking model. It uses a virtual ethernet pair (veth) to connect the container to the host, allowing communication through the bridge interface.

  4. Container Orchestration Support LXC provides limited container orchestration capabilities through the LXD daemon, which manages the containers and provides an API for remote management. However, it does not have native support for container orchestration frameworks like Kubernetes. On the other hand, rkt was designed with a modular and composable architecture, making it more suitable for integrating with container orchestration frameworks. It has native support for Kubernetes and can be used as a runtime in a Kubernetes cluster.

  5. Security Focus While both LXC and rkt prioritize security, rkt has a more security-centric approach. Rkt aims to provide isolation without relying on the host OS, making it more resistant to attacks. It also implements a CVE (Common Vulnerabilities and Exposures) feature that allows users to verify the security of the images they are running. LXC, although secure, does not offer the same level of isolation and security features as rkt.

  6. Runtime Performance LXC is known for its efficient and lightweight performance. The use of Linux kernel features enables fast container creation and minimal resource usage. However, rkt is also designed for performance, focusing on simplicity and speed. It employs features like podman and KVM to provide efficient container runtime performance.

In summary, LXC is a Linux OS-level virtualization method, while rkt is a container runtime emphasizing security, simplicity, and composability. LXC uses the LXCFS image format and traditional networking model, while rkt uses the ACI format and a more isolated networking model. Rkt has better container orchestration support, a stronger security focus, and comparable runtime performance to LXC.

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Detailed Comparison

rkt
rkt
LXC
LXC

Rocket is a cli for running App Containers. The goal of rocket is to be composable, secure, and fast.

LXC is a userspace interface for the Linux kernel containment features. Through a powerful API and simple tools, it lets Linux users easily create and manage system or application containers.

Composable. All tools for downloading, installing, and running containers should be well integrated, but independent and composable.;Security. Isolation should be pluggable, and the crypto primitives for strong trust, image auditing and application identity should exist from day one.;Image distribution. Discovery of container images should be simple and facilitate a federated namespace, and distributed retrieval. This opens the possibility of alternative protocols, such as BitTorrent, and deployments to private environments without the requirement of a registry.;Open. The format and runtime should be well-specified and developed by a community. We want independent implementations of tools to be able to run the same container consistently.
-
Statistics
GitHub Stars
-
GitHub Stars
5.0K
GitHub Forks
-
GitHub Forks
1.2K
Stacks
29
Stacks
116
Followers
112
Followers
223
Votes
10
Votes
19
Pros & Cons
Pros
  • 5
    Security
  • 3
    Robust container portability
  • 2
    Composable containers
Pros
  • 5
    Easy to use
  • 4
    Lightweight
  • 3
    Simple and powerful
  • 3
    Good security
  • 2
    LGPL

What are some alternatives to rkt, LXC?

Docker

Docker

The Docker Platform is the industry-leading container platform for continuous, high-velocity innovation, enabling organizations to seamlessly build and share any application — from legacy to what comes next — and securely run them anywhere

LXD

LXD

LXD isn't a rewrite of LXC, in fact it's building on top of LXC to provide a new, better user experience. Under the hood, LXD uses LXC through liblxc and its Go binding to create and manage the containers. It's basically an alternative to LXC's tools and distribution template system with the added features that come from being controllable over the network.

Vagrant Cloud

Vagrant Cloud

Vagrant Cloud pairs with Vagrant to enable access, insight and collaboration across teams, as well as to bring exposure to community contributions and development environments.

Studio 3T

Studio 3T

It's the only MongoDB tool that provides three ways to explore data alongside powerful features like query autocompletion, polyglot code generation, a stage-by-stage aggregation query builder, import and export, SQL query support and more.

OpenVZ

OpenVZ

Virtuozzo leverages OpenVZ as its core of a virtualization solution offered by Virtuozzo company. Virtuozzo is optimized for hosters and offers hypervisor (VMs in addition to containers), distributed cloud storage, dedicated support, management tools, and easy installation.

SmartOS

SmartOS

It combines the capabilities you get from a lightweight container OS, optimized to deliver containers, with the robust security, networking and storage capabilities you’ve come to expect and depend on from a hardware hypervisor.

Clear Containers

Clear Containers

We set out to build Clear Containers by leveraging the isolation of virtual-machine technology along with the deployment benefits of containers. As part of this, we let go of the "generic PC hardware" notion traditionally associated with virtual machines; we're not going to pretend to be a standard PC that is compatible with just about any OS on the planet.

Flatpak

Flatpak

It is a next-generation technology for building and distributing desktop applications on Linux

Lima

Lima

It launches Linux virtual machines with automatic file sharing, port forwarding, and containerd. It can be considered as some sort of unofficial "macOS subsystem for Linux", or "containerd for Mac". It is expected to be used on macOS hosts, but can be used on Linux hosts as well. It may work on NetBSD and Windows hosts as well.

Boxfuse

Boxfuse

It generates minimal images for your application in seconds. They boot directly on virtual hardware. There is no classic OS and no container runtime.

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