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  1. Stackups
  2. DevOps
  3. Continuous Deployment
  4. Server Configuration And Automation
  5. Ansible vs Gradle

Ansible vs Gradle

OverviewDecisionsComparisonAlternatives

Overview

Ansible
Ansible
Stacks19.5K
Followers15.6K
Votes1.3K
GitHub Stars66.9K
Forks24.1K
Gradle
Gradle
Stacks24.3K
Followers9.8K
Votes254
GitHub Stars18.1K
Forks5.0K

Ansible vs Gradle: What are the differences?

Introduction:

Ansible and Gradle are both popular tools used in software development and deployment. While Ansible is focused on automation and configuration management, Gradle is a build automation tool primarily used for building, testing, and deploying software projects.

  1. Programming Language Support: One key difference between Ansible and Gradle is the programming language they support. Ansible is written in Python and relies on YAML (Yet Another Markup Language) for defining configuration management tasks. On the other hand, Gradle is built on top of the Groovy programming language, although it supports other languages such as Java and Kotlin. This difference in language support makes Ansible more versatile for system administration tasks, while Gradle is better suited for building and managing software projects.

  2. Scope of Automation: Another difference lies in the scope of automation provided by these tools. Ansible is primarily designed for infrastructure automation and excels in tasks such as server provisioning, configuration management, and application deployment. It offers a broad range of built-in modules to interact with various systems and services. Gradle, on the other hand, focuses on build automation and dependency management within the context of software projects. It provides a powerful and flexible framework for building, testing, and deploying applications.

  3. Configuration Management vs. Build Automation: While both Ansible and Gradle overlap in some areas, they have different core functionalities. Ansible focuses on configuration management, where it ensures that systems are configured correctly and consistently. It is well-suited for managing complex infrastructures and automating repetitive tasks. On the other hand, Gradle is primarily a build automation tool that orchestrates the build process for software projects. It handles tasks such as compiling source code, running tests, packaging artifacts, and managing dependencies.

  4. Declarative vs. Imperative: An important distinction between Ansible and Gradle is the underlying approach to defining tasks. Ansible follows a declarative model, where the desired state of the system is specified, and Ansible takes care of reaching that state. This allows for idempotent and easy-to-understand configurations. In contrast, Gradle follows an imperative model, where the build process is defined step by step, specifying the actions to be performed. This gives more control over the build process but can be more verbose and harder to reason about.

  5. Learning Curve and Ecosystem: The learning curve and ecosystem around these tools also differ. Ansible has a simpler and more approachable syntax, making it easier to get started. It has a large community and extensive documentation, with many pre-built modules available for various tasks. Gradle, being a build automation tool for software projects, has a steeper learning curve, especially for complex build configurations. It has a thriving ecosystem with plugins and extensions for various use cases, but finding the right plugin and understanding its usage can be challenging for beginners.

  6. Deployment Target: Lastly, the target of deployment is another difference between Ansible and Gradle. Ansible is designed to work with a wide range of infrastructure, including physical servers, virtual machines, containers, and cloud platforms. It provides a higher-level abstraction for managing systems and services across different environments. In contrast, Gradle focuses on building and deploying software projects, primarily targeting application deployment to servers and cloud platforms.

In Summary, Ansible and Gradle differ in their programming language support, scope of automation, core functionalities, task definition approach, learning curve, ecosystem, and deployment targets. These distinctions make them suitable for different use cases within the software development and deployment process.

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Advice on Ansible, Gradle

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
Gradle
Gradle

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.

Gradle is a build tool with a focus on build automation and support for multi-language development. If you are building, testing, publishing, and deploying software on any platform, Gradle offers a flexible model that can support the entire development lifecycle from compiling and packaging code to publishing web sites.

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.
Declarative builds and build-by-convention;Language for dependency based programming;Structure your build;Deep API;Gradle scales;Multi-project builds;Many ways to manage your dependencies;Gradle is the first build integration tool
Statistics
GitHub Stars
66.9K
GitHub Stars
18.1K
GitHub Forks
24.1K
GitHub Forks
5.0K
Stacks
19.5K
Stacks
24.3K
Followers
15.6K
Followers
9.8K
Votes
1.3K
Votes
254
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
  • 110
    Flexibility
  • 51
    Easy to use
  • 47
    Groovy dsl
  • 22
    Slow build time
  • 10
    Crazy memory leaks
Cons
  • 8
    Inactionnable documentation
  • 6
    It is just the mess of Ant++
  • 4
    Hard to decide: ten or more ways to achieve one goal
  • 2
    Dependency on groovy
  • 2
    Bad Eclipse tooling
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, Gradle?

Apache Maven

Apache Maven

Maven allows a project to build using its project object model (POM) and a set of plugins that are shared by all projects using Maven, providing a uniform build system. Once you familiarize yourself with how one Maven project builds you automatically know how all Maven projects build saving you immense amounts of time when trying to navigate many projects.

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.

Bazel

Bazel

Bazel is a build tool that builds code quickly and reliably. It is used to build the majority of Google's software, and thus it has been designed to handle build problems present in Google's development environment.

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

Pants

Pants

Pants is a build system for Java, Scala and Python. It works particularly well for a source code repository that contains many distinct projects.

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