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  5. Apache Aurora vs Docker

Apache Aurora vs Docker

OverviewDecisionsComparisonAlternatives

Overview

Docker
Docker
Stacks194.2K
Followers143.8K
Votes3.9K
Apache Aurora
Apache Aurora
Stacks69
Followers96
Votes0

Apache Aurora vs Docker: What are the differences?

Apache Aurora vs Docker

1. **Architecture**: Apache Aurora is a cluster scheduler system designed to scale up to tens of thousands of machines, while Docker is a container platform that allows applications to be packaged with their dependencies and run on any infrastructure. Apache Aurora is used for managing long-running services and cron jobs, while Docker is more focused on running isolated applications in containers.
   
2. **Isolation**: In Apache Aurora, tasks are scheduled on predefined machine types with resource isolation at the task level, while Docker provides process-level isolation within containers created from images. Docker uses kernel features like namespaces and cgroups for isolation, whereas Apache Aurora relies on Mesos for resource isolation.
   
3. **Resource Management**: Apache Aurora uses a two-level scheduling mechanism with Mesos handling resource offers and Aurora making scheduling decisions, while Docker Swarm, a tool for container orchestration in Docker, provides resource management and scaling features at the container level. Apache Aurora offers more control over how resources are allocated and utilized compared to Docker Swarm.
   
4. **Deployment**: Docker provides a seamless deployment process by allowing container images to be easily distributed and deployed across different environments, while Apache Aurora simplifies the deployment and scaling of long-running services by providing a declarative configuration language for defining job requirements and constraints.
   
5. **Networking**: Docker provides its own networking solution to connect containers within the same host or across hosts, offering features like bridge networks and overlay networks, while Apache Aurora leverages the networking capabilities provided by Mesos to connect tasks and services running on different machines within the cluster.
   
6. **Community and Ecosystem**: Docker has a larger and more active community with a vast ecosystem of tools and resources for containerization, while Apache Aurora, being part of the Apache Software Foundation, has a strong open-source community focused on development and collaboration for building scalable and efficient systems.

In Summary, Apache Aurora and Docker differ in their architecture, isolation mechanisms, resource management approaches, deployment processes, networking solutions, and community ecosystems.

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Advice on Docker, Apache Aurora

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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Detailed Comparison

Docker
Docker
Apache Aurora
Apache Aurora

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 Aurora is a service scheduler that runs on top of Mesos, enabling you to run long-running services that take advantage of Mesos' scalability, fault-tolerance, and resource isolation.

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
Deployment and scheduling of jobs;The abstraction a “job” to bundle and manage Mesos tasks;A rich DSL to define services;Health checking;Failure domain diversity;Instant provisioning
Statistics
Stacks
194.2K
Stacks
69
Followers
143.8K
Followers
96
Votes
3.9K
Votes
0
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
No community feedback yet
Integrations
Java
Java
Docker Compose
Docker Compose
VirtualBox
VirtualBox
Linux
Linux
Amazon EC2 Container Service
Amazon EC2 Container Service
Docker Swarm
Docker Swarm
boot2docker
boot2docker
Kubernetes
Kubernetes
Docker Machine
Docker Machine
Vagrant
Vagrant
Apache Mesos
Apache Mesos
Vagrant
Vagrant

What are some alternatives to Docker, Apache Aurora?

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.

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.

Apache Mesos

Apache Mesos

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

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).

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