PedroGeoGISdev wiki
  • Home
  • Linux OS
    • Linux: concepts
    • Linux: basic concepts
    • Linux: Bash
    • Linux: su and sudo
    • Linux: pipes
    • Linux: File System
    • Linux: Virtual Machines

    • Linux: distros
    • Linux Distros: Ubuntu
    • Linux Distros: Mint
    • Linux Distros: Debian
    • Linux Distros: openSuse
    • Linux Distros: Manjaro
    • Linux Distros: Red Hat Enterprise

    • Linux: laboratories
    • Linux Lab#LI01-1: Choose Linux
    • Linux Lab#LI01-2: Install at least three distributions
    • Linux Lab#LI01-3: Adjust user permissions
    • Linux Lab#LI02-1: Export env user with grep and pipe
    • Linux Lab#LI03-1: Manage users and groups
    • Linux Lab#LI03-2: Manage files
    • Linux Lab#LI03-3: Manage software
    • Linux Lab#LI03-4: Manage hardware
    • Linux Lab#LI04-1: Bash scripting, qtool
    • Linux Lab#LI04-2: Bash scripts as terminal tool
    • Linux Lab#LI04-3: Distribute the terminal app

    • Linux readings
    • Linux Resources
  • DevOps
    • What is DevOps
    • DevOps: Introduction
    • DevOps: Agile and Microservices
    • Infrastructure as code (IaC)
    • Immutable Infrastructure
    • Software Lifecycle

    • Documentation
    • How to document: Quarto and Obsidian

    • Network protocols
    • Network: Basics
    • Network: Client-server
    • Network Protocols
    • Network: DNS
    • Network: API Rest
    • Network: gRPC
    • Network: Websocket
    • Network: SMTP
    • Network: Ping
    • Network: UDP
    • Network: webhook
    • Network: SOAP
    • Network: graphQL

    • Version Control
    • Git
    • GitHub
    • Idea and GitHub 2023
    • Git and GitHub 2023 CLI

    • IDEs
    • IDE: Visual Code
    • IDE: IntellJIdea

    • DevOps tools
    • Amazon Web Services AWS
    • Docker
    • Jenkins pipelines
    • Kubernetes k8s
    • Digital Ocean
    • Nagios
    • Ansible

    • DevOps Laboratories
    • Lab 1: chat App
    • Lab 2: Spring Boot AWS AEB manually
    • Lab 3: Spring Boot and AWS S3 publisher
    • Lab 4: Spring Boot Docker/Jenkins
    • Lab 5: k8s on Digital Ocean
    • Lab 6: Spring Boot AWS codecommit

    • DevOps readings
    • DevOps Resources
  • MarkUp
    • MarkUp Languages
    • Introduction Markup
    • HTML Markup
    • Markdown Markup
    • Markdown and HTML working together, good idea?

    • Quarto Markdown
    • Quarto Markdown: basics
    • Quarto Markdown: creating
    • Quarto Markdown: publishing
    • Quarto Markdown: code & data
    • Quarto Markdown: api rest call
    • Quarto Markdown: OJS Cells
    • Quarto Markdown: cheat-sheet

    • Styling: CSS
    • Cascade Style Sheet
    • Cascade Style Sheet: Box Model and Containers
    • CSS: W3.css

    • MarkUp Languages Laboratories
    • Lab#MD01-1: Create and publish by Quarto

    • MarkUp Languages readings
    • MarkUp Languages Resources
  • Java SE
    • What is Java SE
    • Java Standard Edition: Basics
    • Java Standard Edition: Principles
    • Java MOOC Helsinki
    • Java MOOC Helsinki Syllabus

    • Java Create Project
    • Java SE: Maven
    • Java SE: Create Maven Project
    • Java SE: Project push GitHub
    • Java SE: JUnit and TDD

    • Java Concepts
    • Java SE: Class and Objects
    • Java SE: Scope
    • Java SE: static modifier
    • Java SE: Coupling and DDD
    • Java SE: Packages
    • Java SE: Abstract/Interface
    • Java SE: Java 8

    • Java Principles
    • Java SE: Encapsulation
    • Java SE: Abstraction
    • Java SE: Inherence
    • Java SE: Polymorphism

    • Java Design Patterns
    • Java Patterns: UML
    • Java Patterns: Types
    • Singleton
    • Factory
    • Abstract Factory
    • Builder
    • Facade
    • Bridge
    • Decorator
    • Composite
    • Observer
    • Strategy
    • State
    • Commander

    • Java SE Laboratories
    • Lab#SE00-1: Maven Person
    • Lab#SE00-2: Maven Clinic
    • Lab#SE00-3: Library Model
    • Lab#SE00-4: Abstract/Interface Human
    • Lab#SE01-1: Maven/Gradle Person and Account
    • Lab#SE01-2: Maven/Gradle Person and Account stored in JSON
    • Lab#SE02-1: Movie/Review, Model
    • Lab#SE02-2: Movie/Review, CRUD Operations
    • Lab#SE02-3: Movie/Review, factory
    • Lab#SE02-4: Movie/Review, interactivity and coupling
    • Lab#SE02-5: Movie/Review, simulate interactivity by console
    • Lab#SE03-1: Library/Book, Core-Model
    • Lab#SE03-2: Library/Book, Sprint Zero
    • Lab#SE03-3: Library/Book, Expand Model
    • Lab#SE04-1: healthyFood Restaurant, Core Model

    • Java SE readings
    • Java SE Resources
  • Python
    • Python Basics
    • Python: Basic Concepts
    • Python: Tips
  • JavaScript
    • JavaScript Basics
    • JavaScript: Basic Concepts
    • JavaScript: Tips
  • Spring
    • Spring Legacy
    • Spring Framework
    • Spring MVC
    • Springs Servlets

    • Spring Boot Basics
    • Spring Boot: fundamentals
    • Spring Boot: create a Project
    • Spring Boot: H2 DB and Thymeleaf
    • Spring Boot: cycle

    • Spring Boot Concepts
    • Spring Boot: Dependency Injection
    • Spring Boot: Annotations
    • Spring Boot: Controller
    • Spring Boot: View
    • Spring Boot: Thymeleaf
    • Spring Boot: Vaadin Flow
    • Spring Boot: Vaadin Hilla
    • Spring Boot: Model
    • Spring Boot: Rest
    • Spring Boot: Data & DB
    • Spring Boot: JPA & DI
    • Spring Boot: JPA Mappings
    • Spring Boot: JPA Relationships
    • Spring Boot: JPA Queries
    • Spring Boot: JPA Inherence
    • Spring Boot: Scaling

    • Spring Boot Laboratories
    • Lab#SB00-1: Library UML
    • Lab#SB00-2: CRUD User
    • Lab#SB00-3: LibraryManagement
    • Lab#SB00-4: API Rest
    • Lab#SB00-5: Rest & JPA-H2
    • Lab#SB00-6: Rest & MongoDB
    • Lab#SB00-7: Styling
    • Lab#SB01-1: DataBase
    • Lab#SB02-1: JPA Relationships
    • Lab#SB03-1: APIs & cloud
    • Lab#SB04-1: JPA Inherence
    • Lab#SB05-1: API Rest
    • Lab#SB06-1: employeeCourse
    • Lab#SB07-1: monitor Book
    • Lab#SB08-1: Restaurant UML
    • Lab#SB08-2: Vaadin
    • Lab#SB08-3: H2 and API Rest
    • Lab#SB08-4: JPA
    • Lab#SB08-5: Test API Rest
    • Lab#SB09-1: SpringIO Conference

    • Spring Boot readings
    • Spring Boot Resources
  • ReactJS
    • ReactJS: Principles
    • React JS: Introduction
    • React JS: render virtual DOM
    • React JS: Create a React project
    • React JS: Components
    • React JS: JSX
    • React JS: props and state

    • JavaScript: web scripting
    • JavaScript: basics
    • JavaScript: functions
    • JavaScript: objects
    • JavaScript: variables
    • JavaScript: flux control

    • ES6: ECMAScript 6
    • React JS ES6: arrow functions
    • React JS ES6: import modules
    • React JS ES6: array, data and key
    • React JS ES6: destructuring
    • React JS ES6: spread operator

    • ReacJS 18: Hooks
    • React JS: Rules of Hooks
    • ReactJS: useState
    • React JS: useReducer
    • React JS: useRef
    • React JS: useEffect
    • React JS: useContext
    • ReactJS: useMemo
    • ReactJS: custom hooks

    • ReactJS: Designing an App
    • React JS App: async
    • React JS App: events
    • React JS App: router
    • React JS App: conditional render
    • React JS App: styling

    • React JS: Laboratories
    • Lab#RE01-1: API Rest Axios
    • Lab#RE02-1: Router & Hooks
    • Lab#RE03-1: to-do app
    • Lab#RE03-2: HighCharts
    • Lab#RE03-3: API Rest Mono
    • Lab#RE03-4: API Rest Domains
    • Lab#RE03-5: data management
    • Lab#RE04-1: todo & server
    • Lab#RE04-2: Spring Boot & ReactJS
    • Lab#RE05-1: chat & websockets
    • Lab#RE05-2: chat: backend
    • Lab#RE05-3: chat & AWS
    • Lab#RE05-4: chat: test ws AWS
    • Lab#RE05-5: chat & front
    • Lab#RE05-6: chat & ws: front
    • Lab#RE06-1: healthyFood Restaurant
    • Lab#RE06-1-PR: create a pull request
    • Lab#RE07-1: traffic lights simulation

    • React JS readings
    • ReactJS Resources
  • Learning
    • Vocabulary
    • General Vocabulary
    • SCRUM Vocabulary
    • DevOps Vocabulary
    • Java SE Vocabulay
    • Spring Boot Vocabulary
    • DataBase Vocabulary
    • ReactJS Vocabulary
    • Web Vocabulary

    • Learning
    • Useful Questions
    • Learning: tips
    • Writing
    • Taking Notes
    • Comments
    • Document
    • Auto-Evaluate

    • Books & Articles
    • Books
    • Articles

    • What is SCRUM
    • SCRUM Agile Methodology
    • Agile Manifesto & Values
    • SCRUM Guide

    • Scrum Steps
    • Meetings, Impediments and Iterations
    • User stories, Tasks and Habits
    • Delivering Value & Communication
    • ScrumMaster, how it works
    • Mindset, the key to everything
    • Product Owner, how it works
    • Managing Time & Mind
    • Team & the Specialist
    • Albertus’ Dilemma
    • Before SCRUM
    • Team Dynamics
    • Emotions and Thoughts
    • Decision Making and Intuition
    • Beyond SCRUM
    • Balances, atmosphere and tools

    • Resources
    • SCRUM Resources
  • QGIS
    • QGIS basics
    • QGIS: basic concepts

    • QGIS laboratories
    • QGIS Laboratory 1: Introduction to Open Source GIS
  • ArcGIS Pro
    • ArcGIS Pro basics
    • ArcGIS Pro: basic concepts

    • ArcGIS Pro laboratories
    • ArcGIS Pro Laboratory 1: Getting Started
  • Bookmarks
    • Online Resources
    • Online Resources
  • About
    • About me and this site
    • About me
    • About this site
    • About images credit
  • Email
  • GitHub
  • LinkedIn
  1. DevOps tools
  2. Ansible
  • DevOps

  • What is DevOps
    • DevOps: Introduction
    • DevOps: Agile and Microservices
    • Infrastructure as code (IaC)
    • Immutable Infrastructure
    • Software Lifecycle

  • Documentation
    • How to document: Quarto and Obsidian

  • Network protocols
    • Network: Basics
    • Network: Client-server
    • Network Protocols
    • Network: DNS
    • Network: API Rest
    • Network: gRPC
    • Network: Websocket
    • Network: SMTP
    • Network: Ping
    • Network: UDP
    • Network: webhook
    • Network: SOAP
    • Network: graphQL

  • Version Control
    • Git
    • GitHub
    • Idea and GitHub 2023
    • Git and GitHub 2023 CLI

  • IDEs
    • IDE: Visual Code
    • IDE: IntellJIdea

  • DevOps tools
    • Amazon Web Services AWS
    • Docker
    • Jenkins pipelines
    • Kubernetes k8s
    • Digital Ocean
    • Nagios
    • Ansible

  • DevOps Laboratories
    • Lab 1: chat App
    • Lab 2: Spring Boot AWS AEB manually
    • Lab 3: Spring Boot and AWS S3 publisher
    • Lab 4: Spring Boot Docker/Jenkins
    • Lab 5: k8s on Digital Ocean
    • Lab 6: Spring Boot AWS codecommit

  • DevOps readings
    • DevOps Resources

On this page

  • 1 Overview
  • 2 Why Ansible is so popular
  • 3 References
  • Edit this page
  • Report an issue
  1. DevOps tools
  2. Ansible

Ansible

Ansible

devops
ansible
Maven
Author

albertprofe

Published

Tuesday, June 1, 2021

Modified

Sunday, August 10, 2025

📘 What is Ansible

One of devOps most popular tools is Ansible.

It allows managers to solve similar problems without going through them again and again.

It automates the entire process, by providing repetitive solutions to repetitive problems and conserving both time and energy. It is an open-source tool that targets to increase productivity.

1 Overview

Automation for everyone.

No matter your role, or what your automation goals are, Ansible can help you demonstrate value, connect teams, and deliver efficiencies for your organization.

Built on open source, Red Hat Ansible Automation Platform is a hardened, tested subscription product that offers full life cycle support for organizations.

2 Why Ansible is so popular

Ansible is a popular choice among DevOps professionals due to several factors.

Firstly, it offers an intuitive and agentless approach to configuration management, making it easy to automate tasks across servers.

Ansible’s combination of simplicity, flexibility, automation, and robust features contributes to its popularity among DevOps professionals.

Secondly, Ansible’s simple YAML-based syntax allows for easy understanding and maintenance of playbooks, making it accessible to both beginners and experienced users.

Additionally, Ansible’s idempotent nature ensures that running the same playbook multiple times produces the same result, reducing the risk of configuration drift. The platform also provides a wide range of modules for managing various aspects of IT infrastructure, including package management, file manipulation, service management, and cloud provisioning. Its active community and extensive documentation further support developers in troubleshooting and learning.

Moreover, Ansible’s agentless architecture eliminates the need for installing and managing software on managed nodes, simplifying deployment and reducing overhead.

Lastly, its ability to integrate with existing tools and infrastructure, along with its support for role-based organization, enhances its flexibility and scalability.

3 References

  • Ansible Certification Training
  • Automation for everyone
Back to top
Nagios

This website is built with Quarto.

Difficulties are just things to overcome, after all. Ernest Shackleton

  • Edit this page
  • Report an issue