
Virtual machine What is virtual machine (VM)?
A virtual machine (VM) is a software-based emulation of a physical computer, running an operating system and applications using virtual resources from the host system.

- Virtual machine explained
- What are the benefits of virtual machines?
- What are the types of virtual machines?
- What are the components of a virtual machine?
- What are the use cases and applications of virtual machines?
- How does HPE help you with virtual machines solutions?
Virtual machine explained
- VM operates independently with its own CPU, memory, storage, and network interface, managed by a hypervisor that allocates and isolates these resources. Hypervisors come in two types: Type 1 (bare-metal) and Type 2 (hosted), each with specific advantages for efficiency and ease of use.
- VMs are crucial in various environments, from on-premises data centers to cloud computing. They enable businesses to run multiple operating systems and applications on a single hardware platform, supporting multi-tenant architectures and optimizing resource utilization. VMs can be easily scaled to meet changing demands, with orchestration tools like Kubernetes enhancing management and automation.
- Security best practices for VMs include ensuring isolation, regular patching, and securing hypervisors. VMs are fundamental for development, testing, server consolidation, disaster recovery, and supporting legacy applications. They are a core component of Infrastructure as a Service (IaaS) in cloud environments.
- Performance optimization involves adjusting resource allocation and tuning VM settings. Understanding licensing implications for different operating systems is also essential.
Overall, VMs provide flexibility, scalability, and efficiency, making them indispensable to modern IT infrastructure.
What are the benefits of virtual machines?
There are several benefits of using virtual machines in many areas of IT infrastructure management:
- Scalability: Virtual machines can scale processing resources up or down in response to demand, easily adding or removing VMs without requiring new hardware.
- Portability: VMs can be replicated and moved across servers and data centers, enabling workload balancing, disaster recovery, and seamless transfers.
- Flexibility: Virtualization supports running multiple operating systems and applications on a single physical server, efficiently using resources and accommodating various workloads.
- Security: VMs enhance security through isolation, reducing the risk of virus infections and breaches spreading across the system.
- Agility and speed: Virtualization allows rapid provisioning and deployment of VMs, significantly reducing setup time for new servers and applications, enabling faster innovation and response to business needs.
- Reduced downtime: Virtualization supports live migration and high availability, minimizing downtime during maintenance or hardware failures, and ensuring continuous service.
- Cost efficiency: By consolidating multiple VMs on fewer physical servers, organizations save on hardware and energy costs, while also reducing operating expenses through streamlined management.
What are the types of virtual machines?
Virtual machines (VMs) can be categorized into different types based on their purpose, functionality, and the level of access they provide to the underlying hardware.
- System virtual machines are one primary type, providing a complete system environment that supports the execution of a full operating system (OS). These VMs emulate a physical machine, allowing multiple OS instances to run simultaneously on a single physical host. Examples include hypervisor-based VMs such as VMware ESXi, Microsoft Hyper-V, and KVM (Kernel-based Virtual Machine). These hypervisors can be further divided into bare-metal (Type 1) hypervisors, which run directly on the host’s hardware, and hosted (Type 2) hypervisors, which run on top of an existing operating system.
- Process virtual machines, also known as application VMs, are designed to run a single application or process, providing a platform-independent environment. These VMs ensure compatibility across different operating systems by offering an isolated environment for running individual applications.
- Para-virtualization is another type of virtualization where the guest operating system is aware of the virtualization and interacts with the hypervisor to improve performance. This technique optimizes the communication between the guest OS and the hypervisor, leading to better performance. Hardware-assisted virtual machines leverage hardware features to enhance virtualization performance and security. Modern CPUs with hardware-assisted virtualization capabilities, are used to improve the efficiency and security of virtualization.
- Full virtualization is a type of virtualization where the VM fully emulates the hardware environment, allowing unmodified guest operating systems to run. This enables the running of unmodified guest OSes by completely emulating the underlying hardware. Lastly, container-based virtual machines, often referred to as containers, provide process-level isolation and share the host OS kernel, making them lightweight compared to traditional VMs. Containers offer lightweight, efficient, and fast deployment environments for applications, with examples being Docker, Kubernetes, and Linux Containers (LXC).
What are the components of a virtual machine?
Hypervisors: A hypervisor is software that enables the creation and management of virtual machines (VMs), allowing different operating systems to run simultaneously on a single physical host machine by sharing its underlying hardware resources. The hypervisor acts as a mediator between the physical hardware and the virtual machines, virtualizing the underlying hardware to allow multiple VMs to operate independently and securely. It manages the allocation and usage of the host's resources, such as CPU, memory, storage, and networking, ensuring each VM receives its fair share while maintaining isolation between them.
Types of Hypervisors:
- Type 1 (Bare-metal) Hypervisor: Runs directly on the host machine's hardware without an underlying operating system. It interfaces directly with the hardware resources and manages guest operating systems. Commonly used in server virtualization, it offers better performance and security since there is no additional operating system layer. Examples include VMware ESXi and Microsoft Hyper-V.
- Type 2 (Hosted) Hypervisor: Runs on top of a host operating system and relies on it for device drivers and hardware interactions. Often used for desktop virtualization, it is simpler to set up and use, allowing users to run multiple guest operating systems on their computers. Examples include VMware Workstation and Oracle VM VirtualBox.
Guest operating system: The guest operating system is crucial within a VM as it provides the environment where applications run. Its primary functions include running applications, managing resources, handling device drivers, ensuring security and isolation, and managing the file system. Compatibility considerations for VMs include supported guest operating systems, drivers and integration, performance optimization, licensing, and virtualization rights.
Virtual Hardware: Virtual hardware refers to the software-defined emulation or virtualization of physical hardware within a VM environment, enabling multiple virtual machines to efficiently share and utilize hardware resources. Key components include:
- CPU Virtualization: Abstracts the physical CPU into virtual CPUs, allowing multiple VMs to run concurrently on a physical server.
- Memory Virtualization: Abstracts physical memory into virtual memory, offering efficient allocation and management.
- Disk and Storage Virtualization: Pools storage resources and provisions virtual disks.
- Network Virtualization: Overlays virtual networks on physical networks to improve agility and resource utilization.
Resource allocation and management: Effective management of resources is critical for optimal VM performance. Tools and techniques for managing VM resources include monitoring tools, resource allocation policies, and overcommitment strategies where virtual resources exceed physical resources to optimize utilization.
VM scalability and orchestration: VMs can be scaled up or down to meet changing demands. Orchestration tools like Kubernetes and OpenStack automate VM management, enhancing operational efficiency. VMs also integrate with containerization technologies, offering flexible and scalable solutions.
In summary, hypervisors and virtual hardware are fundamental to virtualization, providing secure, isolated, and efficient environments for running multiple operating systems and applications on a single physical host.
What are the use cases and applications of virtual machines?
Virtual machines (VMs) offer versatile use cases across various industries and IT environments by emulating physical hardware.
- Development and testing environments: VMs enable developers to create isolated environments for development, testing, and debugging without affecting production. They allow quick setup of different operating systems and configurations, facilitate testing, and enable snapshots and rollbacks, making development efficient and low-risk.
- Disaster recovery and backup: VMs are vital for disaster recovery by replicating and backing up VMs to off-site locations, ensuring business continuity with quick recovery options, reducing downtime, and simplifying system restoration. VMs also extend the lifespan of legacy applications, avoiding costly rewrites and ensuring compatibility with modern hardware.
- Cloud computing: VMs are fundamental in cloud computing, where service providers offer Infrastructure as a Service (IaaS). This allows users to manage virtual servers in the cloud, providing scalable, flexible resources, enabling pay-as-you-go models, and supporting multi-tenant architectures.
- Virtual desktop infrastructure (VDI): VDI deploys virtual desktops for consistent user experiences for remote and mobile users, centralizing management, enhancing security, supporting remote work, and simplifying updates and patches.
- Application isolation and security: VMs isolate applications, reducing security risks, preventing conflicts, and allowing secure testing of suspicious software. Best practices include patching, secure configurations, isolation, segmentation, and continuous monitoring.
- Malware analysis and isolation: Security experts employ virtual computers to analyze and confine malware securely. By executing potentially hazardous software in isolated virtual environments, researchers can analyze its behavior without damaging the host system.
- Secure access & running incompatible software: Virtual computers offer a secure environment for accessing the internet or running potentially dangerous apps.
- Load balancing and high availability: VMs support load balancing and high availability by distributing workloads across multiple servers, improving performance and providing redundancy in case of failures.
- Research and experimentation: VMs enable controlled environments for experiments and simulations, providing flexibility for various configurations, easy rollback, and isolation of setups.
- Resource allocation and management: Effective resource allocation is crucial for VM performance. Utilizing tools and techniques for managing resources ensures optimization and avoids contention.
- Orchestration: VMs must be scalable to meet demands. Orchestration tools like Kubernetes and OpenStack automate management, enhance efficiency, and support integration with containerization technologies.
- Licensing and compliance: VM deployment involves licensing implications for operating systems and applications. Compliance with software and hardware agreements and regulatory standards is essential to avoid penalties.
What are the use cases and applications of virtual machines?
HPE VM Essentials Software:
- Simplified virtualization management: HPE VM Essentials Software aims to streamline the complexities of managing virtual machines, especially in heterogeneous environments. It includes a new enterprise grade, supported hypervisor, based on the proven KVM hypervisor, along with the ability to manage both HPE VM Essentials and VMware vSphere clusters. This eliminates the need for administrators to switch between different management consoles, saving time and reducing the learning curve. This unified approach can lead to cost savings by reducing training needs and simplifying operations.
- Unified management: This feature allows you to integrate your existing VMware clusters into the VM Essentials platform, free of charge. This means you can manage VMs running on your existing ESXi hosts alongside VMs running on the HPE VM Essentials hypervisor, all from the same interface. This centralized control simplifies VM provisioning and other management tasks.
- Flexible consumption model: HPE VM Essentials Software is available in two ways: as standalone software that you can install and manage yourself, or as an integrated component of one of the HPE Private Cloud solutions such as HPE GreenLake for Private Cloud Business Edition. This flexibility allows you to choose the deployment model that best suits your needs and existing infrastructure.
HPE GreenLake Private Cloud Business Edition (PCBE):
- Agile, self-service private cloud: HPE GreenLake Private Cloud Business Edition is designed to provide the agility and self-service capabilities of a public cloud within your own data center. It enables users to quickly provision and manage their own resources (including VMs) through a self-service portal, without requiring IT intervention for every request. This speeds up application deployment and improves responsiveness to business needs. PCBE can be deployed wherever you need it – on-premises, at the edge, or in a colocation facility.
- Simplified vm management: PCBE simplifies VM management by automating many common tasks, such as provisioning, scaling, and monitoring. It also provides tools for managing VMs across both on-premises and public cloud environments, creating a hybrid cloud experience.
- Workload-optimized private cloud: PCBE leverages HPE's modern hyperconverged infrastructure (HCI). HCI combines compute, storage, and networking resources into a single integrated system. This architecture simplifies deployment and management, and it can be optimized for specific workloads, such as VDI (Virtual Desktop Infrastructure) or databases, by tailoring the underlying hardware and software configurations.
HPE GreenLake for Private Cloud Enterprise (PCE):
- Streamline and modernize: HPE GreenLake for Private Cloud Enterprise goes beyond just VMs and provides a fully managed cloud experience for your entire private environment, including bare metal servers, containers, and VMs. It helps you modernize your IT infrastructure by providing a consistent platform for both traditional and cloud-native applications. This allows you to consolidate your IT environment and reduce complexity.
- Fully managed cloud experience: With PCE, HPE takes on the responsibility for managing your private cloud infrastructure, including hardware maintenance, software updates, and 24/7 support. This frees up your IT staff to focus on more strategic initiatives, such as developing new applications and services. You get the benefits of a cloud-like experience without having to manage the underlying infrastructure.
Morpheus:
- Simplifies VM management with a unified platform that reduces complexity. It automates VM provisioning, offers self-service portals, manages the VM lifecycle, and provides resource optimization insights. Morpheus integrates with monitoring tools, enforces security policies, and supports migration between platforms.