У нас вы можете посмотреть бесплатно Configure Ansible Controller Node for Web Application Deployment on AWS (Part 2) или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса ClipSaver.ru
Welcome to Part 2 of our series on automating web application deployment using Ansible on AWS! In this video, we focus on configuring the Ansible controller node and managed nodes to establish seamless communication, laying the foundation for deploying and managing applications using Ansible playbooks. 🔧 What’s Covered in Part 2: • Setting up the Ansible controller node for secure SSH access to managed nodes. • Configuring keyless SSH between the controller and managed nodes. • Preparing managed nodes for Ansible automation. • Setting up the Ansible inventory file to organize and manage infrastructure. 📂 GitHub Repository Access all project resources, including Bash scripts, configuration files, and inventory setup: https://github.com/Here2ServeU/ansibl.... ✨ Highlights: • Detailed walkthrough of controller node and managed node configuration. • Explanation of how Ansible communicates with managed nodes via SSH. • Best practices for organizing Ansible inventories for scalable automation. • Ideal for anyone learning Ansible for infrastructure automation. 🛠 Prerequisites: • Completion of Part 1 (Setting up the Ansible cluster). • Basic knowledge of Ansible, SSH, and AWS EC2 instances. • AWS CLI configured and EC2 instances up and running. 💡 Key Takeaways: By the end of this video, you’ll have a fully configured Ansible controller and managed nodes ready for automation and infrastructure management. Don’t forget to like, comment, and subscribe to stay updated as we move to deploy applications in the next part of this series! 🚀 #Ansible #AWS #Automation #DevOps #InfrastructureAsCode #Beginner2Master #CloudComputing