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  4. Cluster Management
  5. Apache Mesos vs LXD

Apache Mesos vs LXD

OverviewDecisionsComparisonAlternatives

Overview

Apache Mesos
Apache Mesos
Stacks306
Followers418
Votes31
GitHub Stars5.3K
Forks1.7K
LXD
LXD
Stacks104
Followers194
Votes68

Apache Mesos vs LXD: What are the differences?

Introduction

Apache Mesos and LXD are two popular technologies used in the field of containerization and virtualization. Although they serve similar purposes, there are key differences between them that set them apart in terms of functionality and usage.

  1. Scalability and Resource Management: Apache Mesos is primarily designed to manage resources and schedule tasks across a cluster of machines, providing scalability and efficient resource utilization. On the other hand, LXD focuses more on lightweight virtualization and provides isolated environments powered by Linux containers (LXC), offering a balance between performance and resource usage.

  2. Containerization Approach: Mesos is a container orchestration platform that supports a variety of container runtimes, including Docker. It allows running and managing application workloads within containers, enabling easy deployment and scaling of services. LXD, on the other hand, is a system container manager that utilizes pre-configured Linux containers running on a host operating system. It focuses more on system-level virtualization, allowing the creation and management of whole system containers.

  3. Network Management: Mesos provides built-in networking capabilities, allowing applications running on different Mesos frameworks to communicate with each other seamlessly. It offers features like service discovery, load balancing, and isolation at the container level. LXD, on the other hand, relies on the underlying network stack of the host operating system. It does not provide advanced networking features out of the box but can utilize existing network management tools to achieve desired networking configurations.

  4. Ecosystem and Integration: Mesos has a rich ecosystem with various frameworks and tools built around it. It integrates well with popular frameworks like Apache Spark, Apache Hadoop, and Kubernetes, enabling seamless integration and interoperability with existing applications and infrastructure. LXD, on the other hand, focuses more on providing a simplified and lightweight virtualization solution. While it can be integrated with other tools, LXD's ecosystem is not as extensive as Mesos.

  5. Container Mobility: Mesos offers container mobility, allowing tasks to be migrated across different machines dynamically. This feature enables load balancing, fault tolerance, and efficient resource utilization. LXD, on the other hand, does not provide built-in container mobility. Containers created with LXD are tightly coupled with the underlying host operating system and cannot be easily migrated to different hosts.

  6. Security and Isolation: Mesos provides fine-grained isolation and security mechanisms, allowing strict control over resource allocation and access permissions. It offers features like user and group isolation, resource quotas, and container-level resource isolation. LXD also provides isolation but focuses more on system-level virtualization rather than application-level isolation. It allows running unmodified Linux distributions within containers but may not provide the same level of isolation as Mesos.

In Summary, Apache Mesos focuses on resource management, scalability, and container orchestration, while LXD focuses on lightweight virtualization and system-level container management. Mesos offers a rich ecosystem with extensive integration capabilities, while LXD provides simplicity and lightweight virtualization.

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Advice on Apache Mesos, LXD

Florian
Florian

IT DevOp at Agitos GmbH

Oct 22, 2019

Decided

lxd/lxc and Docker aren't congruent so this comparison needs a more detailed look; but in short I can say: the lxd-integrated administration of storage including zfs with its snapshot capabilities as well as the system container (multi-process) approach of lxc vs. the limited single-process container approach of Docker is the main reason I chose lxd over Docker.

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Comments

Detailed Comparison

Apache Mesos
Apache Mesos
LXD
LXD

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

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.

Fault-tolerant replicated master using ZooKeeper;Scalability to 10,000s of nodes;Isolation between tasks with Linux Containers;Multi-resource scheduling (memory and CPU aware);Java, Python and C++ APIs for developing new parallel applications;Web UI for viewing cluster state
-
Statistics
GitHub Stars
5.3K
GitHub Stars
-
GitHub Forks
1.7K
GitHub Forks
-
Stacks
306
Stacks
104
Followers
418
Followers
194
Votes
31
Votes
68
Pros & Cons
Pros
  • 21
    Easy scaling
  • 6
    Web UI
  • 2
    Fault-Tolerant
  • 1
    Elastic Distributed System
  • 1
    High-Available
Cons
  • 1
    Not for long term
  • 1
    Depends on Zookeeper
Pros
  • 10
    More simple
  • 8
    API
  • 8
    Best
  • 8
    Open Source
  • 7
    Cluster
Integrations
Apache Aurora
Apache Aurora
LXC
LXC

What are some alternatives to Apache Mesos, LXD?

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

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.

LXC

LXC

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.

DC/OS

DC/OS

Unlike traditional operating systems, DC/OS spans multiple machines within a network, aggregating their resources to maximize utilization by distributed applications.

rkt

rkt

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

Mesosphere

Mesosphere

Mesosphere offers a layer of software that organizes your machines, VMs, and cloud instances and lets applications draw from a single pool of intelligently- and dynamically-allocated resources, increasing efficiency and reducing operational complexity.

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.

Gardener

Gardener

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.

YARN Hadoop

YARN Hadoop

Its fundamental idea is to split up the functionalities of resource management and job scheduling/monitoring into separate daemons. The idea is to have a global ResourceManager (RM) and per-application ApplicationMaster (AM).

Atmosly

Atmosly

AI-powered Kubernetes platform for developers & DevOps. Deploy applications without complexity, with intelligent automation and one-click environments.

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