Virtual Desktop Tools
Article | August 12, 2022
Network virtualization (NV) is the act of combining a network's physical hardware into a single virtual network. This is often accomplished by running several virtual guest computers in software containers on a single physical host system.
Network virtualization is the gold standard for networking, and it is being adopted by enterprises of all kinds globally. By integrating their existing network gear into a single virtual network, enterprises can save operating expenses, automate network and security processes, and set the stage for future growth.
Businesses can use virtualization to imitate many types of traditional hardware, including servers, storage devices, and network resources.
Three Forces Driving Network Virtualization
Demand for enterprise networks keeps rising, driven by higher end-user demands and the proliferation of devices and business software. Through network virtualization, IT businesses are gaining the ability to respond to evolving needs and match their networking capabilities with their virtualized storage and computing resources.
According to a recent SDxCentral survey, 88% of respondents believe that adopting a network virtualization solution is "mission critical" and that it is necessary to assist IT in addressing the immediate requirements of flexibility, scalability, and cost savings (both OpEx and CapEx) in the data center.
Speed
Today, consider any business as an example. Everything depends on IT's capacity to assist business operations. When a company wants to 'surprise' its clients with a new app, launch a competitive offer, or pursue a fresh route to market, it requires immediate IT assistance. That implies IT must move considerably more swiftly, and networks must evolve at the rapid speed of a digitally enabled organization.
Security
According to a PricewaterhouseCoopers survey, the average organization experiences two successful cyberattacks every week. Perimeter security is just insufficient to stem the flood, and network experts are called upon to provide a better solution.
The new data center security approach will:
Be software-based
Use the micro-segmentation principle
Adopt a Zero Trust (ZT) paradigm
In an ideal world, there would be no difference between trustworthy and untrusted networks or sectors, but a ZT model necessitates a network virtualization technology that allows micro-segmentation.
Flexibility
Thanks to the emergence of server virtualization, applications are no longer linked to a specific physical server in a single location. Applications can now be replicated to eliminate a data center for disaster recovery, moved through one corporate data center to another, or slipped into a hybrid cloud environment.
The problem is that network setup is hardware-dependent, and hardwired networking connections restrict them. Because networking services vary significantly from one data center to the next, as an in-house data center differs from a cloud, you must perform extensive personalization to make your applications work in different network environments—a significant barrier to app mobility and another compelling reason to utilize network virtualization.
Closing Lines
Network virtualization is indeed the future technology. These network virtualization platform characteristics benefit more companies as CIOs get more involved in organizational processes. As consumer demand for real-time solutions develops, businesses will be forced to explore network virtualization as the best way to take their networks to another level.
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Server Hypervisors
Article | September 9, 2022
Learn setting up a Docker and Kubernetes environment with the right considerations and choose the best-suited software from ten leading tools, softwares and platforms for your business needs.
Contents
The blog discusses how Kubernetes and Docker can boost software development and deployment productivity. In addition, it covers the benefits of the role of Kubernetes in orchestrating containerized applications and best practices for implementing these technologies to improve efficiency and streamline workflows. Docker and Kubernetes are both essential containerization ecosystem utilities. Kubernetes, an excellent DevOps solution, manages and automates containers' deployment and scaling, along with operating across clusters of hosts, whereas Docker is used for creating and operating containers. The blog covers tips to consider while choosing tools/platforms. It further enlists ten platforms providing Kubernetes and Docker, featuring their offerings.
1. Considerations While Setting Up a Development Environment with Kubernetes and Docker
1.1 Fluid app delivery
A platform for application development must provide development teams with high velocity. Two factors contribute to high velocity: rapid application delivery and brief development cycles. Application platforms must support build processes that start with source code. The platforms must also facilitate the repetitive deployment of applications on any remote staging instance.
1.2 Polyglot support
Consistency is the defining characteristic of an application platform. On-demand, repetitive, and reproducible builds must be supported by the platform. Extending a consistent experience across all languages and frameworks elevates the platform experience. The platform must support a native build process and the ability to develop and customize this build process.
1.3 Baked-in security
Containerized environments are secured in a significantly different manner than conventional applications. A fundamental best practice is to utilize binaries compiled with all necessary dependencies. The build procedure should also include a directive to eliminate unnecessary components for the application's operation. Setting up a zero-trust architecture between platform components that orchestrate deployments significantly improves the workloads' security posture.
1.4 Adjustable abstractions
A platform with paved paths and the flexibility to accommodate the requirements of software engineering teams has a greater chance of success. Open-source platforms score highly in this regard, particularly those with modular architectures that allow the team to swap out parts as they adjust.
2.Top Tips to Consider While Choosing Tools and Platforms for Kubernetes and Docker
2.1 Production-Readiness
Configuring Kubernetes or Docker can be complex and resource-intensive. A production-ready platform will ensure having the necessary fully automated features without the need for configuration. Security is an essential aspect of production readiness. Additionally, automation is critical, as production readiness requires that the solution manage all cluster management duties. Automated backup, recovery, and restore capabilities must be considered. Also, ensure the high availability, scalability, and self-healing of the cluster's platform.
2.2 Future-Readiness
As the cloud and software evolve, a system's hosting location may affect its efficacy. The current trend is a multi-cloud strategy. Ensure that the platform can support abstracting from cloud or data center providers and building a shared infrastructure across clouds, cloud regions, and data centers, as well as assist in configuring them if required. According to a recent study, nearly one-third of organizations are already collaborating with four or more cloud service providers. (Source: Microsoft and 451 Research)
2.3 Ease of Administration
Managing a Docker or Kubernetes cluster is complex and requires various skill sets. Kubernetes generates a lot of unprocessed data, which must be interpreted to comprehend what's happening with the cluster. Early detection and intervention are crucial to disaster prevention. Identifying a platform that eliminates the issue of analyzing raw data is essential. By incorporating automated intelligent monitoring and alerts, such solutions can provide critical status, error, event, and warning data to take appropriate action.
2.4 Assistance and Training
As the organization begins to acquire Kubernetesor Docker skills, it is essential to have a vendor that can provide 24/7 support and training to ensure a seamless transition. Incorrect implementation will add a layer of complexity to infrastructure management. Leverage automation tools that offer the support needed to use Kubernetes and Docker without the management burden.
3. 10 Tools and Platforms Providing Kubernetes and Docker
3.1 Aqua Cloud Native Security Platform:
Aqua Security provides the Aqua Cloud Native Security Platform, a comprehensive security solution designed to protect cloud-native applications and microservices. Aqua offers end-to-end security for applications operating on Docker Enterprise Edition (Community Edition), protecting the DevOps pipeline and production workloads with complete visibility and control. It provides end-to-end security across the entire application lifecycle, from development to production, for both containerized and serverless workloads. In addition, it automates prevention, detection, and response across the whole application lifecycle to secure the build, cloud infrastructure, and operating workloads, regardless of where they are deployed.
3.2 Weave Gitops Enterprise
Weave GitOps Enterprise, a full-stack, developer-centric operating model for Kubernetes, creates and contributes to several open-source projects. Its products and services enable teams to design, build, and operate their Kubernetes platform at scale. Built by the creators of Flux and Flagger, Weave GitOps allows users to deploy and manage Kubernetes clusters and applications in the public or private cloud or their own data center. Weave GitOps Enterprise helps simplify Kubernetes with fully automated continuous delivery pipelines that roll out changes from development to staging and production. Weaveworks has used Kubernetes in production for over eight years and has developed that expertise into Weave GitOps Enterprise.
3.3 Mirantis Kubernetes Engine
Mirantis provides the Mirantis Kubernetes Engine, a platform designed to help organizations deploy, manage, and scale their Kubernetes clusters. It includes features such as container orchestration, automated deployment, monitoring, and high availability, all designed to help organizations build and run their applications at scale. Mirantis Kubernetes Engine also includes a set of tools for managing the lifecycle of Kubernetes clusters, including cluster deployment, upgrades, and patching. It also has security scanning and policy enforcement features, as well as integration with other enterprise IT systems such as Active Directory and LDAP.
3.4 Portworx by Pure Storage
Portworx's deep integration into Docker gives Portworx container data services benefits directly through the Docker Swarm scheduler. Swarm service creation brings the management capability of Portworx to the Docker persistent storage layer to avoid complex tasks such as increasing the storage pool without container downtime and problems like stuck EBS drives. Portworx is also a multi-cloud-ready Kubernetes storage and administration platform designed to simplify and streamline data management in Kubernetes. The platform abstracts the complexity of data storage in Kubernetes. Additionally, it serves as a software-defined layer that aggregates Kubernetes nodes' data storage into a virtual reservoir.
3.5 Platform9
Platform9 provides a powerful IDE for developers for simplified in-context views of pods, logs, events, and more. Both development and operations teams can access the information they need in an instant, secured through SSO and Kubernetes RBAC. The industry’s first SaaS-managed approach combined with a best-in-class support and customer success organization with a 99.9% consistent CSAT rating delivers production-ready K8s to organizations of any size. It provides services to deploy a cluster instantly, achieve GitOps faster, and take care of every aspect of cluster management, including remote monitoring, self-healing, automatic troubleshooting, and proactive issue resolution, around the clock.
3.6 Kubernetes Network Security
Sysdig provides Kubernetes Network Security, a solution that offers cloud security from source to run. The product provides network security for Kubernetes environments by monitoring and blocking suspicious traffic in real time. It helps organizations protect their Kubernetes clusters against advanced threats and attacks. The product and Sysdig Secure offer Kubernetes Network Monitoring to investigate suspicious traffic and connection attempts, Kubernetes-Native Microsegmentation to enable microsegmentation without breaking the application, and Automated Network Policies to save time by automating Kubernetes network policies.
3.7 Kubernetes Operations Platform for Edge
Rafay delivers a production-ready Kubernetes Operations Platform for Edge, streamlining ongoing operations for edge applications. It provides centralized multi-cluster management to deploy, manage, and upgrade all Kubernetes clusters from a single console across all edge nodes. In addition, it offers comprehensive lifecycle management, with which users can quickly and easily provision Kubernetes clusters at the edge, where cluster updates and upgrades are seamless with no downtime. Furthermore, the KMC for Edge quickly integrates with enterprise-class SSO solutions such as Okta, Ping One, and Azure AD, among others. Other features include standardized clusters and workflows, integration and automation, and centralized logging and monitoring.
3.8 Opcito Technologies
Opcito provides simplified container management with efficient provisioning, deployment, scaling, and networking. Its application containerization expertise helps containerize existing and new applications and dependencies. Opcito is well-versed in leading container orchestration platforms like Docker Swarm and Kubernetes. While it helps choose the container platform that best suits specific application needs, it also helps with the end-to-end management of containers so clients can release applications faster and focus on innovation and business. The container management and orchestration services include: building secured microservices, Enterprise-scale Container Management and Orchestration, Orchestration, and Container Monitoring.
3.9 D2iQ Kubernetes Platform (DKP)
D2iQ (DKP) enables enterprises to take advantage of all the benefits of cloud-native Kubernetes while laying the groundwork for intelligent cloud-native innovation by simplifying Kubernetes deployment and maintenance. It simplifies and automates the most difficult parts of an enterprise Kubernetes deployment across all infrastructures. DKP helps enterprises easily overcome operational barriers and set them up in minutes and hours rather than weeks and months. In addition, DKP simplifies Kubernetes management through automation using GitOps workflow, observability, application catalog, real-time cost management, and more.
3.10 Spektra
Spektra, by Diamanti, a multi-cluster management solution for DevOps and production teams, provides centralized multi-cluster management, a single control plane to deliver everything needed to provision and manage the lifecycle of multiple clusters. Spektra is built to cater to business needs, from air-gapped on-prem deployments to hybrid and multi-cloud infrastructures. It also enables stretching resources across different clusters within the tenant. Furthermore, it allows you to move workloads and their associated data from one cluster to another directly from its dashboard. Spektra integrates with lightweight directory access protocols (LDAP) and Active Directory (AD) to enable user authentication and streamline resource access. In addition, it offers application migration, data mobility, and reporting.
4. Conclusion
It is evident that Kubernetes and Docker can significantly boost software development and deployment productivity. By adopting appropriate containerization platforms and leveraging Kubernetes for orchestration, organizations can streamline workflows, improve efficiency, and enhance the reliability of their applications. Furthermore, following the tips to choose the tools or platform carefully can further improve productivity.
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Virtual Desktop Tools, Virtual Desktop Strategies
Article | June 8, 2023
Network virtualization has emerged as the widely recommended solution for the networking paradigm's future. Virtualization has the potential to revolutionize networks in addition to providing a cost-effective, flexible, and secure means of communication.
Network virtualization isn't an all-or-nothing concept. It can help several organizations with differing requirements, or it can provide a bunch of new advantages for a single enterprise. It is the process of combining a network's physical hardware into a single, virtual network. This is often accomplished by running several virtual guest machines in software containers on a single physical host system.
Network virtualization is indeed the new gold standard for networking, and it is being embraced by enterprises of all kinds globally. By integrating their current network gear into a single virtual network, businesses can reduce operating expenses, automate network and security processes, and lay the groundwork for future growth.
Network virtualization also enables organizations to simulate traditional hardware like servers, storage devices, and network resources. The physical network performs basic tasks like packet forwarding, while virtual versions handle more complex activities like networking service management and deployment.
Addressing Network Virtualization Challenges
Surprisingly, IT teams might encounter network virtualization challenges that are both technical and non-technical in nature. Let's look at some common challenges and discuss how to overcome them.
Change in Network Architecture
Practically, the first big challenge is shifting from an architecture that depends heavily on routers, switches, and firewalls. Instead, these services are detached from conventional hardware and put on hypervisors that virtualize these operations. Virtualized network services are shared, scaled, and moved as required.
Migrating current LANs and data centers to a virtualized platform require careful planning. This migration involves the following tasks:
Determine how much CPU, computation, and storage resources will be required to run virtualized network services.
Determine the optimal approach for integrating network resilience and security services.
Determine how the virtualized network services will be implemented in stages to avoid disrupting business operations.
The key to a successful migration is meticulous preparation by architects who understand the business's network requirements. This involves a thorough examination of existing apps and services, as well as a clear knowledge of how data should move across the company most effectively.
Moreover, a progressive approach to relocation is often the best solution. In this instance, IT teams can make changes to the virtualization platform without disrupting the whole corporate network.
Network Visibility
Network virtualization has the potential to considerably expand the number of logical technology layers that must collaborate. As a result, traditional network and data center monitoring technologies no longer have insight into some of these abstracted levels. In other circumstances, visibility can be established, but the tools fail to show the information correctly so that network operators can understand it. In either case, deploying and managing modern network visibility technologies is typically the best choice. When an issue arises, NetOps personnel are notified of the specific service layer.
Automation and AI
The enhanced level of automation and self-service operations that can be built into a platform is a fundamental aspect of network virtualization. While these activities can considerably increase the pace of network upgrades while decreasing management overhead, they need the documentation and implementation of a new set of standards and practices. Understand that prior network architectures were planned and implemented utilizing actual hardware appliances on a hop-by-hop basis. A virtualized network, on the other hand, employs a centralized control plane to govern and push policies to all sections of the network. Changes may occur more quickly in this aspect, but various components must be coordinated to accomplish their roles in harmony.
As a result, network teams should move their attention away from network operations that are already automated. Rather, their new responsibility is to guarantee that the core automation processes and AI are in sync in order to fulfill those automated tasks.
Driving Competitive Edge with Network Virtualization
Virtualization in networking or virtual machines within an organization is not a new trend. Even small and medium businesses have realized the benefits of network virtualization, especially when combined with a hosted cloud service provider. Because of this, the demand for enterprise network virtualization is rising, driving higher end-user demands and the proliferation of devices and business tools. These network virtualization benefits can help boost business growth and gain a competitive edge.
Gaining a Competitive Edge: Network Virtualization Benefits
Cost-Savings on Hardware
Faster Desktop and Server Provisioning and Deployment
Improved Data Security and Disaster Recovery
Increasing IT Operational Efficiency
Small Footprint and Energy Saving
Network Virtualization: The Path to Digital Transformation
Business is at the center of digital transformation, but technology is needed to make it happen. Integrated clouds, highly modern data centers, digital workplaces, and increased data center security are all puzzle pieces, and putting them all together requires a variety of various products and services that are deployed cohesively.
The cloud revolution is still having an influence on IT, transforming how digital content is consumed and delivered. This should come as no surprise that such a shift has influenced how we feel about current networking. When it boils down to it, the purpose of digital transformation for every company, irrespective of industry, is the same: to boost the speed with which you can respond to market changes and evolving business needs; to enhance your ability to embrace and adapt to new technology, and to improve overall security. As businesses realize that the underlying benefit of cloud adoption and enhanced virtualization isn't simply about cost savings, digital strategies are evolving, becoming more intelligent and successful in the process.
Network virtualization is also a path toward the smooth digital transformation of any business.
How does virtualization help in accelerating digital transformation?
Combining public and private clouds, involving hardware-based computing, storage, and networking software definition. A hyper-converged infrastructure that integrates unified management with virtualized computing, storage, and networking could be included.
Creating a platform for greater productivity by providing the apps and services consumers require when and when they utilize them. This should include simplifying application access and administration as well as unifying endpoint management.
Improving network security and enhancing security flexibility to guarantee that quicker speed to market is matched by tighter security.
Virtualization will also help businesses to move more quickly and safely, bringing products—and profits—to market faster.
Enhancing Security with Network Virtualization
Security has evolved as an essential component of every network architecture. However, since various areas of the network are often segregated from one another, it might be challenging for network teams to design and enforce network virtualization security standards that apply to the whole network.
Zero trust can integrate such network parts and their accompanying virtualization activities. Throughout the network, the zero-trust architecture depends on the user and device authentication. If LAN users wish to access data center resources, they must first be authenticated.
The secure connection required for endpoints to interact safely is provided by a zero-trust environment paired with network virtualization. To facilitate these interactions, virtual networks can be ramped up and down while retaining the appropriate degree of traffic segmentation.
Access policies, which govern which devices can connect with one another, are a key part of this process. If a device is allowed to access a data center resource, the policy should be understood at both the WAN and campus levels.
Some of the core network virtualization security features are:
Isolation and multitenancy are critical features of network virtualization.
Segmentation is related to isolation; however it is utilized in a multitier virtual network.
A network virtualization platform's foundation includes firewalling technologies that enable segmentation inside virtual networks.
Network virtualization enables automatic provisioning and context-sharing across virtual and physical security systems.
Investigating the Role of Virtualization in Cloud Computing
Virtualization in the cloud computing domain refers to the development of virtual resources (such as a virtual server, virtual storage device, virtual network switch, or even a virtual operating system) from a single resource of its type that also shows up as several personal isolated resources or environments that users can use as a separate individual physical resource.
Virtualization enables the benefits of cloud computing, such as ease of scaling up, security, fluid or flexible resources, and so on. If another server is necessary, a virtual server will be immediately created, and a new server will be deployed. When we need more memory, we increase the virtual server configurations we currently have, and we now have the extra RAM we need. As a result, virtualization is the underlying technology of the cloud computing business model.
The Benefits of Virtualization in Cloud Computing:
Efficient hardware utilization
Virtualization improves availability
Disaster recovery is quick and simple
Energy is saved by virtualization
Setup is quick and simple
Cloud migration has become simple
Motivating Factors for the Adoption of Network Virtualization
Demand for enterprise networks continues to climb, owing to rising end-user demands and the proliferation of devices and business software. Thanks to network virtualization, IT companies are gaining the ability to respond to shifting demands and match their networking capabilities with their virtualized storage and computing resources. In fact, according to a recent SDxCentral report, 88% of respondents believe it is "important" or "mission critical" to implement a network virtualization software over the next two to five years.
Virtualization is also an excellent alternative for businesses that employ outsourced IT services, are planning mergers or acquisitions or must segregate IT teams owing to regulatory compliance.
Reasons to Adopt Network Virtualization:
A Business Needs Speed
Security Requirements Are Rising
Apps can Move Around
Micro-segmentation
IT Automation and Orchestration
Reduce Hardware Dependency and CapEx: Adopt Multi-Tenancy Cloud
Disaster Recovery
mproved Scalability
Wrapping-Up
Network virtualization and cloud computing are emerging technologies of the future. As CIOs get actively involved in organizational systems, these new concepts will be implemented in more businesses. As consumer demand for real-time services expands, businesses will be driven to explore network virtualization as the best way to take their networks to the next level. The networking future is here.
FAQ
Why is network virtualization important for business?
By integrating their current network gear into a single virtual network, businesses can reduce operating expenses, automate network and security processes, and set the stage for future growth.
Where is network virtualization used?
Network virtualization can be utilized in application development and testing to simulate hardware and system software realistically. Network virtualization in application performance engineering allows for the modeling of connections among applications, services, dependencies, and end users for software testing.
How does virtualization work in cloud computing?
Virtualization, in short, enables cloud providers to provide users alongside existing physical computer infrastructure. As a simple and direct process, it allows cloud customers to buy only the computing resources they require when they want them and to maintain those resources cost-effectively as the demand grows.
Read More
Server Hypervisors
Article | May 18, 2023
Neglecting virtualization on VMs hampers productivity of firms. Operations become complex and resource usage is suboptimal. Leverage virtualization to empower with enhanced efficiency and scalability.
Contents
1. Introduction
2. Types of Virtualization on VMs
2.1 Server virtualization
2.2 Storage virtualization
2.3 Network virtualization
2.3.1 Software-defined networking
2.3.2 Network function virtualization
2.4 Data virtualization
2.5 Application virtualization
2.6 Desktop virtualization
3. Impact of Virtualized VMs on Business Enterprises
3.1 Virtualization as a Game-Changer for Business Models
3.2 Evaluating IT Infrastructure Reformation
3.3 Virtualization Impact on Business Agility
4. How can Businesses Scale ROI with Adoption of Virtualization in Virtual Machines?
5. Risks and Challenges of Virtual Machines in the Cloud
5.1 Resource Distribution:
5.2 VM Sprawl:
5.3 Backward Compatibility
5.4 Conditional Network Monitoring
5.5 Interoperability:
6. Overcoming Roadblocks: Best Practices for Successful Execution of VMs
6.1 Unlocking the Power of Resource Distribution:
6.2 Effective techniques for Avoiding VM Sprawl:
6.3 Backward Compatibility: A Comprehensive Solution:
6.4 Performance Metrics:
6.5 Solutions for Interoperability in a Connected World:
7. Five Leading Providers for Virtualization of VMs
Parallels
Aryaka
Aryaka
Liquidware
Azul
8. Conclusion
1. Introduction
Virtualization on virtual machines (VMs) is a technology that enables multiple operating systems and applications to run on a single physical server or host. It has become essential to modern IT infrastructures, allowing businesses to optimize resource utilization, increase flexibility, and reduce costs. Embracing virtualization on VMs offers many business benefits, including improved disaster recovery, increased efficiency, enhanced security, and better scalability. In this digital age, where businesses rely heavily on technology to operate and compete, virtualization on VMs has become a crucial strategy for staying competitive and achieving business success. Organizations need to be agile and responsive to changing customer demands and market trends. Rather than focusing on consolidating resources, the emphasis now lies on streamlining operations, maximizing productivity, and optimizing convenience.
2. Types of Virtualization on VMs
2.1 Server virtualization
The server virtualization process involves dividing a physical server into several virtual servers. This allows organizations to consolidate multiple physical servers onto a single physical server, which leads to cost savings, improved efficiency, and easier management. Server virtualization is one of the most common types of virtualization used on VMs. Consistent stability/reliability is the most critical product attributes IT decision-makers look for when evaluating server virtualization solutions. Other important factors include robust disaster recovery capabilities and advanced security features. Server Virtualization Market was valued at USD 5.7 Billion in 2018 and is projected to reach USD 9.04 Billion by 2026, growing at a CAGR of 5.9% from 2019 to 2026. (Source: Verified Market Research)
2.2 Storage virtualization
Combining multiple network storage devices into an integrated virtual storage device, storage virtualization facilitates a cohesive and efficient approach to data management within a data center. IT administrators can allocate and manage the virtual storage unit with the help of management software, which facilitates streamlined storage tasks like backup, archiving, and recovery. There are three types of storage virtualization: file-level, block-level, and object-level. File-level consolidates multiple file systems into one virtualized system for easier management. Block-level abstracts physical storage into logical volumes allocated to VMs. Object-level creates a logical storage pool for more flexible and scalable storage services to VMs. The storage virtualization segment held an industry share of more than 10.5% in 2021 and is likely to observe considerable expansion through 2030 (Source: Global Market Insights)
2.3 Network virtualization
Any computer network has hardware elements such as switches, routers, load balancers and firewalls. With network virtualization, virtual machines can communicate with each other across virtual networks, even if they are on different physical hosts. Network virtualization can also enable the creation of isolated virtual networks, which can be helpful for security purposes or for creating test environments. The following are two approaches to network virtualization:
2.3.1 Software-defined networking
Software-defined networking (SDN) controls traffic routing by taking over routing management from data routing in the physical environment. For example, programming the system to prioritize video call traffic over application traffic to ensure consistent call quality in all online meetings.
2.3.2 Network function virtualization
Network function virtualization technology combines the functions of network appliances, such as firewalls, load balancers, and traffic analyzers, that work together to improve network performance. The global Network function virtualization market size was valued at USD 12.9 billion in 2019 and is projected to reach USD 36.3 billion by 2024, at a CAGR of 22.9%, during the forecast period(2019-2024). (Source: MarketsandMarkets)
2.4 Data virtualization
Data virtualization is the process of abstracting, organizing, and presenting data in a unified view that applications and users can access without regard to the data's physical location or format. Using virtualization techniques, data virtualization platforms can create a logical data layer that provides a single access point to multiple data sources, whether on-premises or in the cloud. This logical data layer is then presented to users as a single, virtual database, making it easier for applications and users to access and work with data from multiple sources and support cross-functional data analysis. Data Virtualization Market size was valued at USD 2.37 Billion in 2021 and is projected to reach USD 13.53 Billion by 2030, growing at a CAGR of 20.2% from 2023 to 2030. (Source: Verified Market Research)
2.5 Application virtualization
In this approach, the applications are separated from the underlying hardware and operating system and encapsulated in a virtual environment, which can run on any compatible hardware and operating system. With application virtualization, the application is installed and configured on a virtual machine, which can then be replicated and distributed to multiple end-users. For example, users can run a Microsoft Windows application on a Linux machine without changing the machine configuration. According to a report, the global application virtualization market size is predicted to grow from USD 2.2 billion in 2020 to USD 4.4 billion by 2025, at a CAGR of 14.7% during the period of 2020-2025. (Source: MarketsandMarkets)
2.6 Desktop virtualization
In desktop virtualization, a single physical machine can host multiple virtual machines, each with its own operating system and desktop environment. Users can access these virtual desktops remotely through a network connection, allowing them to work from anywhere and on any device. Desktop virtualization is commonly used in enterprise settings to provide employees with a secure and flexible way to access their work environment. The desktop virtualization market is anticipated to register a CAGR of 10.6% over the forecast period (2018-28). (Source: Mordor Intelligence)
3. Impact of Virtualized VMs on Business Enterprises
Virtualization can increase the adaptability of business processes. The servers can support different operating systems (OS) and applications as the software is decoupled from the hardware. Business processes can be run on virtual computers, with each virtual machine running its own OS, applications, softwares and set of programs.
3.1 Virtualization as a Game-Changer for Business Models
The one server, one application model can be abolished using virtualization, which was inefficient because most servers were underutilized. Instead, one server can become many virtual machines using virtualization software, each running on a different operating system such as Windows, Linux, or Apache. Virtualization has made it possible for companies to fit more virtual servers onto fewer physical devices, saving them space, power, and time spent managing them. The adoption of virtualization services is significantly increased by industrial automation systems. Industrial automation suppliers offer new-generation devices to virtualize VMs and software-driven industrial automation operations. This will solve problems with important automation equipment like Programmable Logic Controller (PLCs) and Distributed Control Systems (DCS), leading to more virtualized goods and services in industrial automation processes.
3.2 Evaluating IT Infrastructure Reformation
IT infrastructure evaluation for virtualization needs to look at existing systems and processes along with finding opportunities and shortcomings. Cloud computing, mobile workforces, and app compatibility cause this growth. Over the last decade, these areas have shifted from conventional to virtual infrastructure. • Capacity on Demand: It is a concept that refers to the ability to quickly and easily deploy virtual servers, either on-premise or through a hosting provider. This is made possible through the use of virtualization technologies. These technologies allow businesses to create multiple virtual instances of servers that can be easily scaled up or down as per the requirement, providing businesses with access to IT capacity on demand. • Disaster Recovery (DR): DR is a critical consideration in evaluating IT infrastructure reformation for virtualization. Virtualization technology enables businesses to create virtual instances of servers that run multiple applications, which eliminates the need for robust DR solutions that can be expensive and time-consuming to implement. As a result, businesses can save costs by leveraging the virtual infrastructure for DR purposes. • Consumerization of IT: The consumerization of IT refers to the increasing trend of employees using personal devices and applications in their work environments. This has resulted in a need for businesses to ensure that their IT infrastructure can support a diverse range of devices and applications. Virtual machines enable businesses to create virtual desktop environments that can be accessed from any device with an internet connection, thereby providing employees with a consistent and secure work environment regardless of their device.
3.3 Virtualization Impact on Business Agility
Virtualization has emerged as a valuable tool for enhancing business agility by allowing firms to respond quickly, efficiently, and cost-effectively to market changes. By enabling rapid installation and migration of applications and services across systems, the migration to the virtualized systems has allowed companies to achieve significant operational flexibility, responsiveness, and scalability gains. According to a poll conducted by Tech Target, 66% of the firms have reported an increase in agility due to virtualization adoption. This trend is expected to rise, driven by growing demand for cost-effective and efficient IT solutions across various industries. In line with this, a comprehensive analysis has projected that the market for virtualization software was estimated to be worth USD 45.51 billion in 2021. It is anticipated to grow to USD 223.35 billion by 2029, with a CAGR of 22.00% predicted for the forecast period of 2022–2029, including application, network, and hardware virtualization. (Source: Data Bridge) This is primarily attributed to the growing need for businesses to improve their agility and competitiveness by leveraging advanced virtualization technologies and solutions for applications and servers.
4. How can Businesses Scale ROI with Adoption of Virtualization in Virtual Machines?
Businesses looking to boost their ROI have gradually shifted to Virtualizing VMs, in the past years. According to a recent study, VM virtualization helps businesses reduce their hardware and maintenance costs by up to 50%, significantly impacting their bottom line. Server consolidation helps reduce hardware costs and improve resource utilization, as businesses allocate resources, operating systems, and applications dynamically based on workload demand. Utilizing application virtualization, in particular, can assist businesses in optimizing resource utilization by as much as 80%. Software-defined Networking (SDN) allows new devices, some with previously unsupported operating systems, to be more easily incorporated into an enterprise’s IT environment. The telecom industry can greatly benefit from the emergence of Network Functions Virtualization (NFV), SDN, and Network Virtualization, as these technologies provide significant advantages. The NFV idea virtualizes and effectively joins service provider network elements on multi-tenant industry-standard servers, switches, and storage. To leverage the benefits of NFV, telecom service providers have heavily invested in NFV services. By deploying NFV and application virtualization together, organizations can create a more flexible and scalable IT infrastructure that responds to changing business needs more effectively.
5. Risks and Challenges of Virtual Machines in the Cloud
5.1 Resource Distribution:
Resource availability is crucial when running applications in a virtual machine, as it leads to increased resource consumption. The resource distribution in VMs is typically managed by a hypervisor or virtual machine manager responsible for allocating resources to the VMs based on their specific requirements. A study found that poor resource management can lead to overprovisioning, increasing cloud costs by up to 70%. (Source: Gartner)
5.2 VM Sprawl:
82% of companies experienced VM sprawl, with the average organization having 115% more VMs than they need, as per a survey. (Source: Veeam) VM sprawl can occur in virtualization when an excessive proliferation of virtual machines is not effectively managed or utilized, leading to many underutilized or inactive VMs. This can lead to increased resource consumption, higher costs, and reduced performance.
5.3 Backward Compatibility:
Backward compatibility can be particularly challenging in virtualized systems, where applications may run on multiple operating systems than they were designed for. A recent study showed that 87% of enterprises have encountered software compatibility issues during their migration to the cloud for app virtualization. (Source: Flexera)
5.4 Conditional Network Monitoring:
A study found that misconfigurations, hardware problems, and human error account for over 60% of network outages. (Source: SolarWinds) Network monitoring tools can help organizations monitor virtual network traffic and identify potential network issues affecting application performance in VMs. These tools also provide visibility into network traffic patterns, enabling IT teams to identify areas for optimization and improvement.
5.5 Interoperability:
Interoperability issues are common when implementing cloud-based virtualization when integrating the virtualized environment with other on-premises or cloud-based systems. According to a report, around 50% of virtualization projects encounter interoperability issues that require extensive troubleshooting and debugging. (Source: Gartner)
6. Overcoming Roadblocks: Best Practices for Successful Execution of VMs
6.1 Unlocking the Power of Resource Distribution:
By breaking up large, monolithic applications into smaller, more manageable components, virtualizing allows organizations to distribute resources effectively, enabling its users with varying needs to utilize the resources with optimum efficiency. With prioritizing resource distribution, resources such as CPU, memory, and storage can be dynamically allocated to virtual machines as needed. Businesses must frequently monitor and evaluate resource utilization data to better resource allocation and management.
6.2 Effective techniques for Avoiding VM Sprawl:
VM sprawl can be addressed through a variety of techniques, including VM lifecycle management, automated provisioning, and regular audits of virtual machine usage. Tools such as virtualization management software, cloud management platforms, and monitoring tools can help organizations gain better visibility and control over their virtual infrastructure. Monitoring applications and workload requirements as well as establishing policies and procedures for virtual machine provisioning & decommissioning are crucial for businesses to avoid VM sprawl.
6.3 Backward Compatibility: A Comprehensive Solution:
One of the solutions to backward compatibility challenges is to use virtualization technologies, such as containers or hypervisors, that allow older applications to run on newer hardware and software. Another solution is to use compatibility testing tools that can identify potential compatibility issues before they become problems. To ensure that virtual machines can run on different hypervisors or cloud platforms, businesses can implement standardized virtualization architectures that support a wide range of hardware and software configurations.
6.4 Performance Metrics:
Businesses employing cloud-based virtualization must have reliable network monitoring in order to guarantee the best possible performance of their virtual workloads and to promptly detect and resolve any problems that may affect the performance. Businesses can improve their customers' experience in VMs by implementing a network monitoring solution that helps them locate slow spots, boost speed, and avoid interruptions.
6.5 Solutions for Interoperability in a Connected World:
Standardized communication protocols and APIs help cloud-based virtualization setups to interoperate. Integrating middleware like enterprise service buses (ESBs) can consolidate system and application management. In addition, businesses can use cloud-native tools and services like Kubernetes for container orchestration or cloud-native databases for interoperability in virtual machines.
7. Five Leading Providers for Virtualization of VMs
Aryaka
Aryaka is a pioneer of a cloud-first architecture for the delivery of SD-WAN and, more recently, SASE. Using their proprietary, integrated technology and services, they ensure safe connectivity for businesses. They are named a Gartner ‘Voice of the Customer leader’ for simplifying the adoption of network and network security solutions with organization standards for shifting from legacy IT infrastructure to various modern deployments.
Gigamon
Gigamon provides a comprehensive network observability solution that enhances observability tools' capabilities. The solution helps IT organizations ensure security and compliance governance, accelerate the root-cause analysis of performance issues, and reduce the operational overhead of managing complex hybrid and multi-cloud IT infrastructures. Gigamon's solution offers a deep observability pipeline that harnesses actionable network-level intelligence to amplify the power of observability tools.
Liquidware
Liquidware is a software company that offers desktop and application virtualization solutions. Their services include user environment management, application layering, desktop virtualization, monitoring and analytics, and migration services. Using these services, businesses can improve user productivity, reduce complexity in managing applications, lower hardware costs, troubleshoot issues quickly, and migrate to virtualized environments efficiently.
Azul
Azul offers businesses Java runtime solutions. Azul Platform Prime is a cloud-based Java runtime platform that provides enhanced performance, scalability, and security. Azul provides 24/7 technical support and upgrades for Java applications. Their services improve Java application performance, dependability, and security for enterprises. Azul also provides Java application development and deployment training and consultancy.
8. Conclusion
Virtualization of VMs in businesses boosts their ROI significantly. The integration of virtualization with DevOps practices could allow for more streamlined application delivery and deployment, with greater automation and continuous integration, thus achieving greater success in current competitive business landscape. We expect to see more advancements in developing new hypervisors and management tools in the coming years. Additionally, there will likely be an increased focus on security and data protection in virtualized environments, as well as greater integration with other emerging technologies like containerization and edge computing. Virtualization is set to transform the business landscape in future by facilitating the effective and safe deployment and management of applications as technology advances and new trends emerge. The future of virtualization looks promising as it continues to adapt to and revolutionize the changing needs of organizations, streamlining their operations, reducing carbon footprint, and improving overall sustainability. As such, virtualization will continue to be a crucial technology for businesses seeking to thrive in the digital age.
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