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  1. Stackups
  2. Application & Data
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  4. Virtual Machine Platforms And Containers
  5. Docker vs Sandbox

Docker vs Sandbox

OverviewDecisionsComparisonAlternatives

Overview

Docker
Docker
Stacks194.2K
Followers143.8K
Votes3.9K
Sandbox
Sandbox
Stacks28
Followers55
Votes0
GitHub Stars6
Forks5

Docker vs Sandbox: What are the differences?

  1. 1. Complexity: Docker is a containerization platform that allows applications to be isolated in lightweight, portable containers, while a sandbox is an isolated environment that provides an extra layer of security. While Docker containers are more complex to set up and manage due to their focus on facilitating application deployment and scalability, sandboxes are generally easier to use as they provide a more restricted and simpler environment for testing and experimentation.

  2. 2. Resource Isolation: Docker provides strong resource isolation by using separate namespaces for processes, network interfaces, and file systems within containers. This allows containers to have their own isolated environments, making them more efficient and secure. On the other hand, sandboxes usually have less resource isolation, as they are primarily designed for providing a separate execution environment for applications, rather than isolating the entire system.

  3. 3. Application Portability: Docker containers offer high application portability, as they can be easily moved across different environments and run consistently. This is achieved by packaging all the dependencies and configuration required for the application to run, allowing it to run on any system with Docker installed. Sandboxes, on the other hand, are typically designed for a specific environment or application and may not be as portable.

  4. 4. Network Connectivity: Docker containers can be connected to different networks, allowing applications within the containers to communicate with other containers, host networks, or external networks. This gives Docker containers the ability to be part of a larger network infrastructure. Sandboxes, on the other hand, usually have limited network connectivity and are more focused on isolating the application from the rest of the system.

  5. 5. Scalability and Orchestration: Docker provides built-in features for scalability and orchestration, allowing multiple containers to be managed and scaled efficiently. It enables the creation of container clusters and the use of orchestration tools like Docker Swarm or Kubernetes for managing containerized applications. Sandboxes, on the other hand, are not designed for scalability or orchestration and are primarily used for individual experimentation or testing purposes.

  6. 6. Performance: Docker containers provide a lightweight and efficient runtime environment, allowing applications to run with minimal performance overhead. The containerization technology used by Docker ensures that the applications have direct access to system resources, resulting in near-native performance. Sandboxes, on the other hand, may introduce some performance overhead due to the additional layers of isolation and security.

In Summary, Docker offers a more complex, scalable, and portable solution for containerization, while sandboxes provide a simpler and more isolated environment primarily for testing and experimentation purposes.

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Advice on Docker, Sandbox

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
Sandbox
Sandbox

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

Quickly mock RESTful API or SOAP web-services with simple or dynamic responses, and fault injection to simulate real application behaviour.

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
-
Statistics
GitHub Stars
-
GitHub Stars
6
GitHub Forks
-
GitHub Forks
5
Stacks
194.2K
Stacks
28
Followers
143.8K
Followers
55
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
Apiary
Apiary
Swagger UI
Swagger UI
RAML
RAML

What are some alternatives to Docker, Sandbox?

Postman

Postman

It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.

Paw

Paw

Paw is a full-featured and beautifully designed Mac app that makes interaction with REST services delightful. Either you are an API maker or consumer, Paw helps you build HTTP requests, inspect the server's response and even generate client code.

Karate DSL

Karate DSL

Combines API test-automation, mocks and performance-testing into a single, unified framework. The BDD syntax popularized by Cucumber is language-neutral, and easy for even non-programmers. Besides powerful JSON & XML assertions, you can run tests in parallel for speed - which is critical for HTTP API testing.

Appwrite

Appwrite

Appwrite's open-source platform lets you add Auth, DBs, Functions and Storage to your product and build any application at any scale, own your data, and use your preferred coding languages and tools.

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.

Runscope

Runscope

Keep tabs on all aspects of your API's performance with uptime monitoring, integration testing, logging and real-time monitoring.

Insomnia REST Client

Insomnia REST Client

Insomnia is a powerful REST API Client with cookie management, environment variables, code generation, and authentication for Mac, Window, and Linux.

RAML

RAML

RESTful API Modeling Language (RAML) makes it easy to manage the whole API lifecycle from design to sharing. It's concise - you only write what you need to define - and reusable. It is machine readable API design that is actually human friendly.

Apigee

Apigee

API management, design, analytics, and security are at the heart of modern digital architecture. The Apigee intelligent API platform is a complete solution for moving business to the digital world.

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.

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