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  1. Stackups
  2. DevOps
  3. Continuous Deployment
  4. Server Configuration And Automation
  5. Ansible vs SVN (Subversion)

Ansible vs SVN (Subversion)

OverviewDecisionsComparisonAlternatives

Overview

Ansible
Ansible
Stacks19.5K
Followers15.6K
Votes1.3K
GitHub Stars66.9K
Forks24.1K
SVN (Subversion)
SVN (Subversion)
Stacks791
Followers629
Votes43
GitHub Stars614
Forks188

Ansible vs SVN (Subversion): What are the differences?

Introduction

Ansible and SVN (Subversion) are both tools commonly used in software development and deployment. While they serve different purposes, they have key differences that set them apart from each other. In this document, we will explore and explain these differences.

  1. Version Control vs Configuration Management: The first major difference between Ansible and SVN is the purpose they serve. SVN is a version control system that helps developers manage and track changes to their codebase over time. On the other hand, Ansible is a configuration management tool that allows developers to automate the deployment and management of software and infrastructure.

  2. Centralized vs Distributed: Another key difference is the architecture of the two tools. SVN follows a centralized model, where there is a central repository that stores all the code and tracks changes made by various developers. Ansible, on the other hand, follows a distributed model, where there is no centralized repository. Instead, Ansible relies on managing configurations across multiple nodes directly.

  3. Pull vs Push: SVN relies on a pull model, where developers need to update their local copies of the code by pulling changes from the central repository. In contrast, Ansible follows a push model, where configurations and changes are pushed from a central control node to remote nodes.

  4. Code Versioning vs Infrastructure Management: SVN is primarily focused on managing code versioning and collaboration among developers. It allows developers to track changes, revert to previous versions, and merge branches. Ansible, on the other hand, is focused on managing infrastructure and automating configuration tasks. It allows administrators to define the desired state of systems and deploy changes efficiently.

  5. File-based vs Agentless: SVN operates on the file-level, tracking changes made to individual files and directories. It requires developers to explicitly perform actions to update the repository or commit changes. In contrast, Ansible operates without the need for agents and works at a higher level of abstraction. It allows administrators to define the desired state of systems using YAML scripts and performs actions through SSH or other remote execution methods.

  6. Collaboration vs Orchestration: SVN provides capabilities for collaboration among developers, allowing them to work on the same codebase, track changes, and merge their contributions. Ansible, on the other hand, focuses on orchestrating and automating tasks across multiple nodes, making it easier to manage configurations, deployments, and updates across an entire infrastructure.

In summary, Ansible and SVN differ in their purpose, architecture, workflow models, focus areas, level of abstraction, and collaboration capabilities. While SVN is primarily a version control system focused on code collaboration, Ansible is a configuration management tool focused on infrastructure automation and orchestration.

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Advice on Ansible, SVN (Subversion)

Kamaldeep
Kamaldeep

CEO at Zhoustify Agency

Nov 13, 2020

Decided

SVN is much simpler than git for the simple stuff (checking in files and updating them when everyone's online), and much more complex than git for the complicated stuff (branching and merging). Or put another way, git's learning curve is steep up front, and then increases moderately as you do weird things; SVN's learning curve is very shallow up front and then increases rapidly.

If you're storing large files, if you're not branching, if you're not storing source code, and if your team is happy with SVN and the workflow you have, I'd say you should stay on SVN.

If you're writing source code with a relatively modern development practice (developers doing local builds and tests, pre-commit code reviews, preferably automated testing, preferably some amount of open-source code), you should move to git for two reasons: first, this style of working inherently requires frequent branching and merging, and second, your ability to interact with outside projects is easier if you're all comfortable with git instead of snapshotting the outside project into SVN.

83.3k views83.3k
Comments
Anonymous
Anonymous

Sep 17, 2019

Needs advice

I'm just getting started using Vagrant to help automate setting up local VMs to set up a Kubernetes cluster (development and experimentation only). (Yes, I do know about minikube)

I'm looking for a tool to help install software packages, setup users, etc..., on these VMs. I'm also fairly new to Ansible, Chef, and Puppet. What's a good one to start with to learn? I might decide to try all 3 at some point for my own curiosity.

The most important factors for me are simplicity, ease of use, shortest learning curve.

329k views329k
Comments

Detailed Comparison

Ansible
Ansible
SVN (Subversion)
SVN (Subversion)

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.

Subversion exists to be universally recognized and adopted as an open-source, centralized version control system characterized by its reliability as a safe haven for valuable data; the simplicity of its model and usage; and its ability to support the needs of a wide variety of users and projects, from individuals to large-scale enterprise operations.

Ansible's natural automation language allows sysadmins, developers, and IT managers to complete automation projects in hours, not weeks.;Ansible uses SSH by default instead of requiring agents everywhere. Avoid extra open ports, improve security, eliminate "managing the management", and reclaim CPU cycles.;Ansible automates app deployment, configuration management, workflow orchestration, and even cloud provisioning all from one system.
-
Statistics
GitHub Stars
66.9K
GitHub Stars
614
GitHub Forks
24.1K
GitHub Forks
188
Stacks
19.5K
Stacks
791
Followers
15.6K
Followers
629
Votes
1.3K
Votes
43
Pros & Cons
Pros
  • 284
    Agentless
  • 210
    Great configuration
  • 199
    Simple
  • 176
    Powerful
  • 155
    Easy to learn
Cons
  • 8
    Dangerous
  • 5
    Hard to install
  • 3
    Doesn't Run on Windows
  • 3
    Backward compatibility
  • 3
    Bloated
Pros
  • 20
    Easy to use
  • 13
    Simple code versioning
  • 5
    User/Access Management
  • 3
    Complicated code versionioning by Subversion
  • 2
    Free
Cons
  • 7
    Branching and tagging use tons of disk space
Integrations
Nexmo
Nexmo
Stackdriver
Stackdriver
VMware vSphere
VMware vSphere
Docker
Docker
OpenStack
OpenStack
Amazon EC2
Amazon EC2
Rackspace Cloud Servers
Rackspace Cloud Servers
Google Compute Engine
Google Compute Engine
New Relic
New Relic
PagerDuty
PagerDuty
No integrations available

What are some alternatives to Ansible, SVN (Subversion)?

Git

Git

Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.

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.

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.

Puppet Labs

Puppet Labs

Puppet is an automated administrative engine for your Linux, Unix, and Windows systems and performs administrative tasks (such as adding users, installing packages, and updating server configurations) based on a centralized specification.

Salt

Salt

Salt is a new approach to infrastructure management. Easy enough to get running in minutes, scalable enough to manage tens of thousands of servers, and fast enough to communicate with them in seconds. Salt delivers a dynamic communication bus for infrastructures that can be used for orchestration, remote execution, configuration management and much more.

Mercurial

Mercurial

Mercurial is dedicated to speed and efficiency with a sane user interface. It is written in Python. Mercurial's implementation and data structures are designed to be fast. You can generate diffs between revisions, or jump back in time within seconds.

Fabric

Fabric

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.

AWS OpsWorks

AWS OpsWorks

Start from templates for common technologies like Ruby, Node.JS, PHP, and Java, or build your own using Chef recipes to install software packages and perform any task that you can script. AWS OpsWorks can scale your application using automatic load-based or time-based scaling and maintain the health of your application by detecting failed instances and replacing them. You have full control of deployments and automation of each component

Plastic SCM

Plastic SCM

Plastic SCM is a distributed version control designed for big projects. It excels on branching and merging, graphical user interfaces, and can also deal with large files and even file-locking (great for game devs). It includes "semantic" features like refactor detection to ease diffing complex refactors.

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