Day-4 | AWS & Azure - How to Create Virtual Machines | Free DevOps Course | 45 days |#devops #aws

Summary

In this fourth installment of the 'DevOps Zero to Hero' course, Abhishek guides viewers through creating virtual machines on various cloud platforms, focusing on AWS and Azure. He introduces the concept of VMs, explains the shift from physical to virtual infrastructure, and emphasizes the importance of automation for efficiency in DevOps. The tutorial covers manual creation through UI and teases upcoming lessons on automation techniques like AWS CLI, API, CFT, and Terraform, suitable for different cloud strategies including hybrid models.

Takeaways

• 😀 The video is part of a 45-day DevOps Zero to Hero course, focusing on day four's topic of virtual machines.
• 🔧 The speaker recommends watching previous videos for a complete understanding, especially for those new to the series.
• 🌐 The video covers the creation of virtual machines on various platforms, including AWS, Azure, and on-premise scenarios.
• 📚 It emphasizes the importance of understanding both the evolution of virtual machines and the shift from physical to virtual infrastructure.
• 🛠️ The tutorial explains how to manually create virtual machines through the AWS and Azure consoles for beginners.
• 📈 The script discusses the inefficiency of manual creation for large-scale requests and introduces the concept of automation in DevOps.
• 🤖 Automation options include AWS CLI, AWS API, boto3 for Python, AWS CloudFormation Templates, and multi-cloud solutions like Terraform.
• 🔑 A key aspect of creating an EC2 instance on AWS is generating a key pair for secure access to the virtual machine.
• 🆓 The video mentions the availability of free-tier instances on AWS and Azure for learners to practice without incurring costs.
• 🔄 The process of creating a virtual machine involves selecting an operating system, instance type, and configuring network settings like security groups.
• 🔍 The speaker promises to cover automation in more detail, including scripting and API calls, in subsequent videos.

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