Linux KVM (Kernel-based Virtual Machine) virtualization is an open-source virtualization technology that allows users to create and manage virtual machines (VMs) on Linux operating systems.

  1. Kernel Integration: KVM is integrated directly into the Linux kernel, providing native support for virtualization.

  2. Hardware Virtualization Support: Utilizes hardware virtualization extensions for enhanced performance and compatibility.

  3. Full and Para-virtualization: Supports both full virtualization and para-virtualization for optimized performance.

  4. Live Migration: Allows for seamless migration of virtual machines between physical hosts with minimal downtime.

Before learning Linux KVM (Kernel-based Virtual Machine) virtualization, it's beneficial to have the following skills:

  1. Linux Command Line: Familiarity with Linux command line interface (CLI) is essential for managing KVM and performing system administration tasks.

  2. Basic System Administration: Understanding of basic system administration concepts such as user management, file system navigation, and package management in Linux.

  3. Networking: Knowledge of networking principles including IP addressing, subnetting, routing, and firewall configuration, as networking is crucial for virtual machine communication.

  4. Storage Concepts: Understanding of storage concepts such as file systems, disk partitions, logical volume management (LVM), and RAID configurations, as storage plays a significant role in virtualization.

By learning Linux KVM (Kernel-based Virtual Machine) virtualization, you gain the following skills:

  1. Virtualization Concepts: Understand the principles and concepts of virtualization, including hypervisors, virtual machines (VMs), and host/guest interactions.

  2. KVM Installation and Configuration: Learn how to install, configure, and manage the KVM hypervisor on Linux systems.

  3. Virtual Machine Management: Acquire skills to create, configure, start, stop, and manage virtual machines using KVM tools and utilities.

  4. Resource Allocation: Learn how to allocate system resources such as CPU, memory, and disk space to virtual machines for optimal performance.

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