What tools are commonly used in Linux DevOps

In the realm of Linux DevOps, various tools streamline development, deployment, and operations processes. Here are some commonly used tools:

  • Docker: A containerization platform that allows you to automate the deployment of applications inside lightweight, portable containers.
  • Kubernetes: An orchestration tool that automates the deployment, scaling, and management of containerized applications.
  • Ansible: A configuration management tool used for automating software provisioning, configuration management, and application deployment.
  • Terraform: An infrastructure as code tool for creating, managing, and provisioning cloud resources.
  • Jenkins: An open-source automation server to facilitate the continuous integration and delivery of software.
  • Prometheus: A monitoring system and time series database designed for reliability and scalability.
  • Git: A version control system that enables collaborative development and code management.

Here's an example of defining a simple CI/CD pipeline using Jenkinsfile:

pipeline { agent any stages { stage('Build') { steps { echo 'Building..' } } stage('Test') { steps { echo 'Testing..' } } stage('Deploy') { steps { echo 'Deploying....' } } } }

Linux DevOps Docker Kubernetes Ansible Terraform Jenkins Prometheus Git

Related Questions

How do I avoid rehashing overhead with std::set in multithreaded code?

How do I find elements with custom comparators with std::set for embedded targets?

How do I erase elements while iterating with std::set for embedded targets?

How do I provide stable iteration order with std::unordered_map for large datasets?

How do I reserve capacity ahead of time with std::unordered_map for large datasets?

How do I erase elements while iterating with std::unordered_map in multithreaded code?

How do I provide stable iteration order with std::map for embedded targets?

How do I provide stable iteration order with std::map in multithreaded code?

How do I avoid rehashing overhead with std::map in performance-sensitive code?

How do I merge two containers efficiently with std::map for embedded targets?