Apache Mesos vs Docker

Overview

Docker

Stacks194.2K

Followers143.8K

Votes3.9K

Apache Mesos

Stacks306

Followers418

Votes31

GitHub Stars5.3K

Forks1.7K

Apache Mesos vs Docker: What are the differences?

Introduction

Apache Mesos and Docker are both popular technologies used in containerization and resource management. While they serve similar purposes, there are key differences between them.

Resource Management: Apache Mesos is primarily a resource management platform, whereas Docker is a containerization platform. Mesos provides a distributed system for managing and allocating computing resources among applications, whereas Docker focuses on packaging applications into containers, allowing them to run consistently across different environments.
Multi-Tenancy: Mesos supports multi-tenancy, allowing multiple users or teams to share the same cluster while maintaining isolation between their applications. It provides fine-grained resource allocation and scheduling mechanisms to ensure fairness and prevent one application from monopolizing the resources. On the other hand, Docker does not inherently support multi-tenancy. It primarily focuses on single application deployment within a container.
Containerization Approach: Docker uses operating system-level virtualization to create lightweight and isolated containers, where each container runs as an independent process on the host operating system. Mesos, on the other hand, provides a higher level of abstraction by allowing different containerization technologies to run within it. It can support Docker containers, as well as other container runtimes like rkt and appc.
Scaling and Elasticity: Docker provides scaling capabilities through its swarm mode, which allows multiple Docker hosts to work together as a cluster. However, Mesos is specifically designed for scalable and elastic deployments. It supports auto-scaling of applications based on resource demand and can dynamically allocate and free resources as needed.
Service Discovery and Orchestration: Docker has built-in service discovery and orchestration capabilities, which allow containers to communicate with each other and coordinate their actions. Mesos, on the other hand, provides a framework called Marathon for managing long-running services and applications. Marathon can be used to automatically scale and monitor applications, providing more advanced orchestration features.
Community and Ecosystem: Docker has a large and vibrant community, with a vast ecosystem of tools and services built around it. It has become the de facto standard for containerization. Mesos also has a growing community and ecosystem, but it is more focused on resource management and distributed computing. Mesos is often used in conjunction with other containerization technologies like Docker to provide a comprehensive solution.

In summary, Apache Mesos is a resource management platform that supports multi-tenancy, various containerization technologies, and elastic deployments. Docker, on the other hand, is a containerization platform focused on packaging applications into containers and providing built-in service discovery and orchestration capabilities. Both technologies have their strengths and are often used together to create robust and scalable application deployments.

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Advice on Docker, Apache Mesos

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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Detailed Comparison

Docker	Apache Mesos
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	Apache Mesos is a cluster manager that simplifies the complexity of running applications on a shared pool of servers.
Integrated developer tools; open, portable images; shareable, reusable apps; framework-aware builds; standardized templates; multi-environment support; remote registry management; simple setup for Docker and Kubernetes; certified Kubernetes; application templates; enterprise controls; secure software supply chain; industry-leading container runtime; image scanning; access controls; image signing; caching and mirroring; image lifecycle; policy-based image promotion	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 -	GitHub Stars 5.3K
GitHub Forks -	GitHub Forks 1.7K
Stacks 194.2K	Stacks 306
Followers 143.8K	Followers 418
Votes 3.9K	Votes 31
Pros & Cons
Pros 823 Rapid integration and build up 692 Isolation 521 Open source 505 Testability and reproducibility 460 Lightweight Cons 8 New versions == broken features 6 Documentation not always in sync 6 Unreliable networking 4 Moves quickly 3 Not Secure	Pros 21 Easy scaling 6 Web UI 2 Fault-Tolerant 1 Elastic Distributed System 1 High-Available Cons 1 Depends on Zookeeper 1 Not for long term
Integrations
Java Docker Compose VirtualBox Linux Amazon EC2 Container Service Docker Swarm boot2docker Kubernetes Docker Machine Vagrant	Apache Aurora

What are some alternatives to Docker, Apache Mesos?

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.

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 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

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

rkt

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

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

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

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

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

Related Comparisons

Apache Mesos vs Docker: What are the differences?

Introduction

Apache Mesos and Docker are both popular technologies used in containerization and resource management. While they serve similar purposes, there are key differences between them.

Resource Management: Apache Mesos is primarily a resource management platform, whereas Docker is a containerization platform. Mesos provides a distributed system for managing and allocating computing resources among applications, whereas Docker focuses on packaging applications into containers, allowing them to run consistently across different environments.
Multi-Tenancy: Mesos supports multi-tenancy, allowing multiple users or teams to share the same cluster while maintaining isolation between their applications. It provides fine-grained resource allocation and scheduling mechanisms to ensure fairness and prevent one application from monopolizing the resources. On the other hand, Docker does not inherently support multi-tenancy. It primarily focuses on single application deployment within a container.
Containerization Approach: Docker uses operating system-level virtualization to create lightweight and isolated containers, where each container runs as an independent process on the host operating system. Mesos, on the other hand, provides a higher level of abstraction by allowing different containerization technologies to run within it. It can support Docker containers, as well as other container runtimes like rkt and appc.
Scaling and Elasticity: Docker provides scaling capabilities through its swarm mode, which allows multiple Docker hosts to work together as a cluster. However, Mesos is specifically designed for scalable and elastic deployments. It supports auto-scaling of applications based on resource demand and can dynamically allocate and free resources as needed.
Service Discovery and Orchestration: Docker has built-in service discovery and orchestration capabilities, which allow containers to communicate with each other and coordinate their actions. Mesos, on the other hand, provides a framework called Marathon for managing long-running services and applications. Marathon can be used to automatically scale and monitor applications, providing more advanced orchestration features.
Community and Ecosystem: Docker has a large and vibrant community, with a vast ecosystem of tools and services built around it. It has become the de facto standard for containerization. Mesos also has a growing community and ecosystem, but it is more focused on resource management and distributed computing. Mesos is often used in conjunction with other containerization technologies like Docker to provide a comprehensive solution.

Apache Mesos vs Docker

Overview

Apache Mesos vs Docker: What are the differences?