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  1. Stackups
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  5. Fabric vs Jenkins

Fabric vs Jenkins

OverviewDecisionsComparisonAlternatives

Overview

Fabric
Fabric
Stacks494
Followers307
Votes75
GitHub Stars15.3K
Forks2.0K
Jenkins
Jenkins
Stacks59.2K
Followers50.4K
Votes2.2K
GitHub Stars24.6K
Forks9.2K

Fabric vs Jenkins: What are the differences?

Introduction

Fabric and Jenkins are both popular automation tools used for software development processes. While they may share some similarities, they also have key differences that set them apart. In this article, we will explore and compare the main differences between Fabric and Jenkins.

  1. Architecture: Fabric is a Python library that allows for remote execution and deployment of scripts and commands on multiple servers. It focuses on simplicity and ease of use, making it suitable for smaller projects or specific tasks. On the other hand, Jenkins is a Java-based open-source automation server that provides a wide range of functionalities, including continuous integration, deployment, and delivery (CI/CD). Jenkins has a more robust architecture and is designed for larger and more complex projects.

  2. User Interface: Fabric primarily relies on command-line interfaces (CLIs) for interaction. While this provides efficient and quick control over remote servers, it can be less user-friendly for those who prefer graphical user interfaces (GUIs). Jenkins, on the other hand, offers a web-based GUI that allows users to easily configure, manage, and monitor tasks and workflows. Its interface provides a visual representation of workflows and job statuses, making it more accessible to non-technical stakeholders.

  3. Integration and Plugin Ecosystem: Jenkins has a vast ecosystem of plugins, offering integrations with various tools, technologies, and services. This makes it highly flexible and customizable, allowing users to extend its functionality to suit their specific needs. Fabric, on the other hand, has a more limited selection of plugins and integrations, as it primarily focuses on providing core features for remote command execution and automation.

  4. Pipeline Support: Jenkins provides robust support for defining and managing continuous integration and delivery pipelines. Its Pipeline plugin allows users to define complex workflows, specifying stages, dependencies, and conditions. This offers greater control and flexibility in orchestrating software delivery processes. While Fabric does not have built-in pipeline support like Jenkins, it can still be used in conjunction with other tools or plugins to achieve similar functionality.

  5. Community and Support: Jenkins enjoys a large and active community, with extensive documentation, tutorials, and forums available to assist users at every step. This makes it easier to find resources and assistance when encountering issues or seeking best practices. Fabric, while still supported, has a relatively smaller community compared to Jenkins, which means there may be fewer online resources and community support available.

  6. Scalability: Jenkins is designed to handle large-scale automation environments, with built-in features like master-slave architecture for distributed builds, load balancing, and scalability options. It can easily handle the demands of enterprise-level projects with hundreds or thousands of jobs and pipelines. Fabric, on the other hand, is better suited for smaller-scale projects or specific tasks that require remote command execution on a limited number of servers or instances.

In summary, Fabric is a lightweight Python library focused on remote execution and deployment, while Jenkins is a robust, Java-based automation server with a wide range of features and integrations. Fabric provides simplicity and ease of use for smaller projects or specific tasks, while Jenkins offers scalability, extensive plugin support, and a graphical user interface suitable for larger and more complex projects.

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Advice on Fabric, Jenkins

Balaramesh
Balaramesh

Apr 20, 2020

Needs adviceonAzure PipelinesAzure Pipelines.NET.NETJenkinsJenkins

We are currently using Azure Pipelines for continous integration. Our applications are developed witn .NET framework. But when we look at the online Jenkins is the most widely used tool for continous integration. Can you please give me the advice which one is best to use for my case Azure pipeline or jenkins.

663k views663k
Comments
StackShare
StackShare

Apr 17, 2019

Needs advice

From a StackShare Community member: "Currently we use Travis CI and have optimized it as much as we can so our builds are fairly quick. Our boss is all about redundancy so we are looking for another solution to fall back on in case Travis goes down and/or jacks prices way up (they were recently acquired). Could someone recommend which CI we should go with and if they have time, an explanation of how they're different?"

529k views529k
Comments
Tatiana
Tatiana

Nov 16, 2019

Decided

Jenkins is a pretty flexible, complete tool. Especially I love the possibility to configure jobs as a code with Jenkins pipelines.

CircleCI is well suited for small projects where the main task is to run continuous integration as quickly as possible. Travis CI is recommended primarily for open-source projects that need to be tested in different environments.

And for something a bit larger I prefer to use Jenkins because it is possible to make serious system configuration thereby different plugins. In Jenkins, I can change almost anything. But if you want to start the CI chain as soon as possible, Jenkins may not be the right choice.

734k views734k
Comments

Detailed Comparison

Fabric
Fabric
Jenkins
Jenkins

Fabric is a Python (2.5-2.7) library and command-line tool for streamlining the use of SSH for application deployment or systems administration tasks. It provides a basic suite of operations for executing local or remote shell commands (normally or via sudo) and uploading/downloading files, as well as auxiliary functionality such as prompting the running user for input, or aborting execution.

In a nutshell Jenkins CI is the leading open-source continuous integration server. Built with Java, it provides over 300 plugins to support building and testing virtually any project.

Lets you execute arbitrary Python functions via the command line;Library of subroutines (built on top of a lower-level library) to make executing shell commands over SSH easy and Pythonic
Easy installation;Easy configuration;Change set support;Permanent links;RSS/E-mail/IM Integration;After-the-fact tagging;JUnit/TestNG test reporting;Distributed builds;File fingerprinting;Plugin Support
Statistics
GitHub Stars
15.3K
GitHub Stars
24.6K
GitHub Forks
2.0K
GitHub Forks
9.2K
Stacks
494
Stacks
59.2K
Followers
307
Followers
50.4K
Votes
75
Votes
2.2K
Pros & Cons
Pros
  • 23
    Python
  • 21
    Simple
  • 5
    Installation feedback for Twitter App Cards
  • 5
    Low learning curve, from bash script to Python power
  • 3
    Easy on maintainance
Pros
  • 523
    Hosted internally
  • 469
    Free open source
  • 318
    Great to build, deploy or launch anything async
  • 243
    Tons of integrations
  • 211
    Rich set of plugins with good documentation
Cons
  • 13
    Workarounds needed for basic requirements
  • 10
    Groovy with cumbersome syntax
  • 8
    Plugins compatibility issues
  • 7
    Lack of support
  • 7
    Limited abilities with declarative pipelines

What are some alternatives to Fabric, Jenkins?

Travis CI

Travis CI

Free for open source projects, our CI environment provides multiple runtimes (e.g. Node.js or PHP versions), data stores and so on. Because of this, hosting your project on travis-ci.com means you can effortlessly test your library or applications against multiple runtimes and data stores without even having all of them installed locally.

Codeship

Codeship

Codeship runs your automated tests and configured deployment when you push to your repository. It takes care of managing and scaling the infrastructure so that you are able to test and release more frequently and get faster feedback for building the product your users need.

Ansible

Ansible

Ansible is an IT automation tool. It can configure systems, deploy software, and orchestrate more advanced IT tasks such as continuous deployments or zero downtime rolling updates. Ansible’s goals are foremost those of simplicity and maximum ease of use.

CircleCI

CircleCI

Continuous integration and delivery platform helps software teams rapidly release code with confidence by automating the build, test, and deploy process. Offers a modern software development platform that lets teams ramp.

Chef

Chef

Chef enables you to manage and scale cloud infrastructure with no downtime or interruptions. Freely move applications and configurations from one cloud to another. Chef is integrated with all major cloud providers including Amazon EC2, VMWare, IBM Smartcloud, Rackspace, OpenStack, Windows Azure, HP Cloud, Google Compute Engine, Joyent Cloud and others.

Terraform

Terraform

With Terraform, you describe your complete infrastructure as code, even as it spans multiple service providers. Your servers may come from AWS, your DNS may come from CloudFlare, and your database may come from Heroku. Terraform will build all these resources across all these providers in parallel.

TeamCity

TeamCity

TeamCity is a user-friendly continuous integration (CI) server for professional developers, build engineers, and DevOps. It is trivial to setup and absolutely free for small teams and open source projects.

Drone.io

Drone.io

Drone is a hosted continuous integration service. It enables you to conveniently set up projects to automatically build, test, and deploy as you make changes to your code. Drone integrates seamlessly with Github, Bitbucket and Google Code as well as third party services such as Heroku, Dotcloud, Google AppEngine and more.

wercker

wercker

Wercker is a CI/CD developer automation platform designed for Microservices & Container Architecture.

Capistrano

Capistrano

Capistrano is a remote server automation tool. It supports the scripting and execution of arbitrary tasks, and includes a set of sane-default deployment workflows.

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