Home > Resources > Articles > Implementing Buyer Enablement in Your Sales Enablement Strategy (2019)

Implementing Buyer Enablement in Your Sales Enablement Strategy (2019)

The majority of the time I only had access to two TV channels, three on a good weather day, and I vividly remember when I first saw a color television. At this time, products and services were limited, and buyer choices were almost non-existent. Fast-forward to 2019. Not only do I have access to hundreds of channels, HD TVs with more vibrant colors than reality; I also have access to a wide variety of options for almost any product or service I want to buy, both personally and professionally. We all have countless choices and more options than we could have ever imagined a few decades ago.

Spotlight

NETS-International Communication

NETS International is an IT and Telecom solution provider for Telcos, Enterprise and SMEs with coverage in Middle East and Africa. We help Customers to plan, build, support and manage their ICT networks. NETS products and services are broadly defined in the following areas.

OTHER ARTICLES
Virtual Desktop Tools, Server Hypervisors

Managing Multi-Cloud Complexities for a Seamless Experience

Article | April 28, 2023

Introduction The early 2000s were milestone moments for the cloud. Amazon Web Services (AWS) entered the market in 2006, while Google revealed its first cloud service in 2007. Fast forward to 2020, when the pandemic boosted digital transformation efforts by around seven years (according to McKinsey), and the cloud has become a commercial necessity today. It not only facilitated the swift transition to remote work, but it also remains critical in maintaining company sustainability and creativity. Many can argue that the large-scale transition to the cloud in the 2010s was necessary to enable the digital-first experiences that remote workers and decentralized businesses need today. Multi-cloud and hybrid cloud setups are now the norm. According to Gartner, most businesses today use a multi-cloud approach to reduce vendor lock-in or to take advantage of more flexible, best-of-breed solutions. However, managing multi-cloud systems increases cloud complexity, and IT concerns, frequently slowing rather than accelerating innovation. According to 2022 research done by IntelligentCIO, the average multi-cloud system includes five platforms, including AWS, Microsoft Azure, Google Cloud, and IBM Red Hat, among others. Managing Multi-Cloud Complexities Like a Pro Your multi-cloud strategy should satisfy your company's requirements while also laying the groundwork for managing various cloud deployments. Creating a proactive plan for managing multi-cloud setups is one of the finest features that can distinguish your company. The five strategies for handling multi-cloud complexity are outlined below. Managing Data with AI and ML AI and machine learning can help manage enormous quantities of data in multi-cloud environments. AI simulates human decision-making and performs tasks as well as humans or even better at times. Machine learning is a type of artificial intelligence that learns from data, recognizes patterns, and makes decisions with minimum human interaction. AI and ML to help discover the most important data, reducing big data and multi-cloud complexity. AI and machine learning enable more simplicity and better data control. Integrated Management Structure Keeping up with the growing number of cloud services from several providers requires a unified management structure. Multiple cloud management requires IT time, resources, and technology to juggle and correlate infrastructure alternatives. Routinely monitor your cloud resources and service settings. It's important to manage apps, clouds, and people globally. Ensure you have the technology and infrastructure to handle several clouds. Developing Security Strategy Operating multiple clouds requires a security strategy and seamless integration of security capabilities. There's no single right answer since vendors have varied policies and cybersecurity methods. Storing data on many cloud deployments prevents data loss. Handling backups and safety copies of your data are crucial. Regularly examine your multi-cloud network's security. The cyber threat environment will vary as infrastructure and software do. Multi-cloud strategies must safeguard data and applications. Skillset Management Multi-cloud complexity requires skilled operators. Do you have the appropriate IT personnel to handle multi-cloud? If not, can you use managed or cloud services? These individuals or people are in charge of teaching the organization about how each cloud deployment helps the company accomplish its goals. This specialist ensures all cloud entities work properly by utilizing cloud technologies. Closing Lines Traditional cloud monitoring solutions are incapable of dealing with dynamic multi-cloud setups, but automated intelligence is the best at getting to the heart of cloud performance and security concerns. To begin with, businesses require end-to-end observability in order to see the overall picture. Add automation and causal AI to this capacity, and teams can obtain the accurate answers they require to better optimize their environments, freeing them up to concentrate on increasing innovation and generating better business results.

Read More
Server Virtualization

VM Applications for Software Development and Secure Testing

Article | May 17, 2023

Contents 1. Introduction 2. Software Development and Secure Testing 3. Using VMs in Software Development and Secure Testing 4. Conclusion 1. Introduction “Testing is an infinite process of comparing the invisible to the ambiguous in order to avoid the unthinkable happening to the anonymous.” —James Bach. Testing software is crucial for identifying and fixing security vulnerabilities. However, meeting quality standards for functionality and performance does not guarantee security. Thus, software testing nowadays is a must to identify and address application security vulnerabilities to maintain the following: Security of data history, databases, information, and servers Customers’ integrity and trust Web application protection from future attacks VMs provide a flexible and isolated environment for software development and security testing. They offer easy replication of complex configurations and testing scenarios, allowing efficient issue resolution. VMs also provide secure testing by isolating applications from the host system and enabling a reset to a previous state. In addition, they facilitate DevOps practices and streamline the development workflow. 2. Software Development and Secure Testing Software Secure Testing: The Approach The following approaches must be considered while preparing and planning for security tests: Architecture Study and Analysis: Understand whether the software meets the necessary requirements. Threat Classification: List all potential threats and risk factors that must be tested. Test Planning: Run the tests based on the identified threats, vulnerabilities, and security risks. Testing Tool Identification: For software security testing tools for web applications, the developer must identify the relevant security tools to test the software for specific use cases. Test-Case Execution: After performing a security test, the developer should fix it using any suitable open-source code or manually. Reports: Prepare a detailed test report of the security tests performed, containing a list of the vulnerabilities, threats, and issues resolved and the ones that are still pending. Ensuring the security of an application that handles essential functions is paramount. This may involve safeguarding databases against malicious attacks or implementing fraud detection mechanisms for incoming leads before integrating them into the platform. Maintaining security is crucial throughout the software development life cycle (SDLC) and must be at the forefront of developers' minds while executing the software's requirements. With consistent effort, the SDLC pipeline addresses security issues before deployment, reducing the risk of discovering application vulnerabilities while minimizing the damage they could cause. A secure SDLC makes developers responsible for critical security. Developers need to be aware of potential security concerns at each step of the process. This requires integrating security into the SDLC in ways that were not needed before. As anyone can potentially access source code, coding with potential vulnerabilities in mind is essential. As such, having a robust and secure SDLC process is critical to ensuring applications are not subject to attacks by hackers. 3. Using VMs in Software Development and Secure Testing: Snapshotting: Snapshotting allows developers to capture a VM's state at a specific point in time and restore it later. This feature is helpful for debugging and enables developers to roll back to a previous state when an error occurs. A virtual machine provides several operations for creating and managing snapshots and snapshot chains. These operations let users create snapshots, revert to any snapshots in the chain, and remove snapshots. In addition, extensive snapshot trees can be created to streamline the flow. Virtual Networking: It allows virtual machines to be connected to virtual networks that simulate complex network topologies, allowing developers to test their applications in different network environments. This allows expanding data centers to cover multiple physical locations, gaining access to a plethora of more efficient options. This empowers them to effortlessly modify the network as per changing requirements without any additional hardware. Moreover, providing the network for specific applications and needs offers greater flexibility. Additionally, it enables workloads to be moved seamlessly across the network infrastructure without compromising on service, security, or availability. Resource Allocation: VMs can be configured with specific resource allocations such as CPU, RAM, and storage, allowing developers to test their applications under different resource constraints. Maintaining a 1:1 ratio between the virtual machine processor and its host or core is highly recommended. It's crucial to refrain from over-subscribing virtual machine processors to a single core, as this could lead to stalled or delayed events, causing significant frustration and dissatisfaction among users. However, it is essential to acknowledge that IT administrators sometimes overallocate virtual machine processors. In such cases, a practical approach is to start with a 2:1 ratio and gradually move towards 4:1, 8:1, 12:1, and so on while bringing virtual allocation into IT infrastructure. This approach ensures a safe and seamless transition towards optimized virtual resource allocation. Containerization within VMs: Containerization within VMs provides an additional layer of isolation and security for applications. Enterprises are finding new use cases for VMs to utilize their in-house and cloud infrastructure to support heavy-duty application and networking workloads. This will also have a positive impact on the environment. DevOps teams use containerization with virtualization to improve software development flexibility. Containers allow multiple apps to run in one container with the necessary components, such as code, system tools, and libraries. For complex applications, both virtual machines and containers are used together. However, while containers are used for the front-end and middleware, VMs are used for the back-end. VM Templates: VM templates are pre-configured virtual machines that can be used as a base for creating new virtual machines, making it easier to set up development and testing environments. A VM template is an image of a virtual machine that serves as a master copy. It includes VM disks, virtual devices, and settings. By using a VM template, cloning a virtual machine multiple times can be achieved. When you clone a VM from a template, the clones are independent and not linked to the template. VM templates are handy when a large number of similar VMs need to be deployed. They preserve VM consistency. To edit a template, convert it to a VM, make the necessary changes, and then convert the edited VM back into a new template. Remote Access: VMs can be accessed remotely, allowing developers and testers to collaborate more effectively from anywhere worldwide. To manage a virtual machine, follow these steps: enable remote access, connect to the virtual machine, and then access the VNC or serial console. Once connected, full permission to manage the virtual machine is granted with the user's approval. Remote access provides a secure way to access VMs, as connections can be encrypted and authenticated to prevent unauthorized access. Additionally, remote access allows for easier management of VMs, as administrators can monitor and control virtual machines from a central location. DevOps Integration: DevOps is a collection of practices, principles, and tools that allow a team to release software quickly and efficiently. Virtualization is vital in DevOps when developing intricate cloud, API, and SOA systems. Virtual machines enable teams to simulate environments for creating, testing, and launching code, ultimately preserving computing resources. While commencing a bug search at the API layer, teams find that virtual machines are suitable for test-driven development (TDD). Virtualization providers handle updates, freeing up DevOps teams, to focus on other areas and increasing productivity by 50 –60%. In addition, VMs allow for simultaneous testing of multiple release and patch levels, improving product compatibility and interoperability. 4. Conclusion The outlook for virtual machine applications is highly promising in the development and testing fields. With the increasing complexity of development and testing processes, VMs can significantly simplify and streamline these operations. In the future, VMs are expected to become even more versatile and potent, providing developers and testers with a broader range of tools and capabilities to facilitate the development process. One potential future development is integrating machine learning and artificial intelligence into VMs. This would enable VMs to automate various tasks, optimize the allocation of resources, and generate recommendations based on performance data. Moreover, VMs may become more agile and lightweight, allowing developers and testers to spin up and spin down instances with greater efficiency. The future of VM applications for software development and security testing looks bright, with continued innovation and development expected to provide developers and testers with even more powerful and flexible tools to improve the software development process.

Read More
Server Hypervisors

The Business Benefits of Embracing Virtualization on Virtual Machines

Article | September 9, 2022

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.

Read More
VMware

VMware Tanzu Kubernetes Grid Integrated: A Year in Review

Article | December 14, 2021

The modern application world is advancing at an unprecedented rate. However, the new possibilities these transformations make available don’t come without complexities. IT teams often find themselves under pressure to keep up with the speed of innovation. That’s why VMware provides a production-ready container platform for customers that aligns to upstream Kubernetes, VMware Tanzu Kubernetes Grid Integrated (formerly known as VMware Enterprise PKS). By working with VMware, customers can move at the speed their businesses demand without the headache of trying to run their operations alone. Our offerings help customers stay current with the open source community's innovations while having access to the support they need to move forward confidently. Many changes have been made to Tanzu Kubernetes Grid Integrated edition over the past year that are designed to help customers keep up with Kubernetes advancements, move faster, and enhance security. Kubernetes updates The latest version, Tanzu Kubernetes Grid Integrated 1.13, bumped to Kubernetes version 1.22 and removed beta APIs in favor of stable APIs that have since evolved from the betas. Over time, some APIs will evolve. Beta APIs typically evolve more often than stable APIs and should therefore be checked before updates occur. The APIs listed below will not be served with v1.22 as they have been replaced by more stable API versions: Beta versions of the ValidatingWebhookConfiguration and MutatingWebhookConfiguration API (the admissionregistration.k8s.io/v1beta1 API versions) The beta CustomResourceDefinition API (apiextensions.k8s.io/v1beta1) The beta APIService API (apiregistration.k8s.io/v1beta1) The beta TokenReview API (authentication.k8s.io/v1beta1) Beta API versions of SubjectAccessReview, LocalSubjectAccessReview, SelfSubjectAccessReview (API versions from authorization.k8s.io/v1beta1) The beta CertificateSigningRequest API (certificates.k8s.io/v1beta1) The beta Lease API (coordination.k8s.io/v1beta1) All beta Ingress APIs (the extensions/v1beta1 and networking.k8s.io/v1beta1 API versions) Containerd support Tanzu Kubernetes Grid Integrated helps customers eliminate lengthy deployment and management processes with on-demand provisioning, scaling, patching, and updating of Kubernetes clusters. To stay in alignment with the Kubernetes community, Containerd will be used as the default container runtime, although Docker can still be selected using the command-line interface (CLI) if needed. Networking Several updates have been made in regards to networking as well including support of Antrea and NSX-T enhancements. Antrea support With Tanzu Kubernetes Grid Integrated version 1.10 and later, customers can leverage Antrea on install or upgrade to use Kubernetes network policies. This enables enterprises to get the best of both worlds: access to the latest innovation from Antrea and world-class support from VMware. NSX-T enhancements NSX-T was integrated with Tanzu Kubernetes Grid Integrated to simplify container networking and increase security. This has been enhanced so customers can now choose the policy API as an option on a fresh installation of Tanzu Kubernetes Grid Integrated. This means that users will have access to new features available only through NSX-T policy API. This feature is currently in beta. In addition, more NSX-T and NSX Container Plug-in (NCP) configuration is possible through the network profiles. This operator command provides the benefit of being able to set configurations through the CLI, and this is persistent across lifecycle events. Storage enhancements We’ve made storage operations in our customers’ container native environments easier, too. Customers were seeking a simpler and more secure way to manage Container Storage Interface (CSI), and we introduced automatic installation of the vSphere CSI driver as a BOSH process beginning with Tanzu Kubernetes Grid Integrated 1.11. Also, as VCP will be deprecated, customers are advised to use the CSI driver. VCP-to-CSI migration is a part of Tanzu Kubernetes Grid Integrated 1.12 and is designed to help customers move forward faster. Enhanced security Implementing new technologies provides users with new capabilities, but it can also lead to new security vulnerabilities if not done correctly. VMware’s goal is to help customers move forward with ease and the confidence of knowing that enhancements don’t compromise core security needs. CIS benchmarks This year, Tanzu Kubernetes Grid Integrated continued to see improvements that help meet today’s high security standards. Meeting the Center for Internet Security (CIS) benchmarks standards is vital for Tanzu Kubernetes Grid Integrated. In recent Tanzu Kubernetes Grid Integrated releases, a few Kubernetes-related settings have been adjusted to ensure compliance with CIS requirements: Kube-apiserver with --kubelet-certificate-authority settings (v1.12) Kube-apiserver with --authorization-mode argument includes Node (v1.12) Kube-apiserver with proper --audit-log-maxage argument (v1.13) Kube-apiserver with proper --audit-log-maxbackup argument (v1.13) Kube-apiserver with proper --audit-log-maxsize argument (v1.13) Certificate rotations Tanzu Kubernetes Grid Integrated secures all communication between its control plane components and the Kubernetes clusters it manages, using TLS validated by certificates. The certificate rotations have been simplified in recent releases. Customers can now list and simply update certificates on a cluster-by-cluster basis through the “tkgi rotate-certificates” command. The multistep, manual process was replaced with a single CLI command to rotate NSX-T certificates (available since Tanzu Kubernetes Grid Integrated 1.10) and cluster-by-cluster certificates (available since Tanzu Kubernetes Grid Integrated 1.12). Hardening of images Tanzu Kubernetes Grid Integrated keeps OS images, container base images, and software library versions updated to remediate the CVEs reported by customers and in the industry. It also continues to use the latest Ubuntu Xenial Stemcell latest versions for node virtual machines. With recent releases and patch versions, the version of dockerd, containerd, runc, telegraf, nfs-utils had been bumped to the latest stable and secure versions as well. By using Harbor as a private registry management service, customers could also leverage the built-in vulnerability scan features to discover the application images CVEs. VMware is dedicated to supporting customers with production readiness by enhancing the user experience. Tanzu Kubernetes Grid Integrated Edition has stayed up to date with the Kubernetes community and provides customers with the support and resources they need to innovate rapidly.

Read More
Virtual Desktop Tools, Server Hypervisors

Virtual Machine Security Risks and Mitigation in Cloud Computing

Article | April 28, 2023

Introduction The early 2000s were milestone moments for the cloud. Amazon Web Services (AWS) entered the market in 2006, while Google revealed its first cloud service in 2007. Fast forward to 2020, when the pandemic boosted digital transformation efforts by around seven years (according to McKinsey), and the cloud has become a commercial necessity today. It not only facilitated the swift transition to remote work, but it also remains critical in maintaining company sustainability and creativity. Many can argue that the large-scale transition to the cloud in the 2010s was necessary to enable the digital-first experiences that remote workers and decentralized businesses need today. Multi-cloud and hybrid cloud setups are now the norm. According to Gartner, most businesses today use a multi-cloud approach to reduce vendor lock-in or to take advantage of more flexible, best-of-breed solutions. However, managing multi-cloud systems increases cloud complexity, and IT concerns, frequently slowing rather than accelerating innovation. According to 2022 research done by IntelligentCIO, the average multi-cloud system includes five platforms, including AWS, Microsoft Azure, Google Cloud, and IBM Red Hat, among others. Managing Multi-Cloud Complexities Like a Pro Your multi-cloud strategy should satisfy your company's requirements while also laying the groundwork for managing various cloud deployments. Creating a proactive plan for managing multi-cloud setups is one of the finest features that can distinguish your company. The five strategies for handling multi-cloud complexity are outlined below. Managing Data with AI and ML AI and machine learning can help manage enormous quantities of data in multi-cloud environments. AI simulates human decision-making and performs tasks as well as humans or even better at times. Machine learning is a type of artificial intelligence that learns from data, recognizes patterns, and makes decisions with minimum human interaction. AI and ML to help discover the most important data, reducing big data and multi-cloud complexity. AI and machine learning enable more simplicity and better data control. Integrated Management Structure Keeping up with the growing number of cloud services from several providers requires a unified management structure. Multiple cloud management requires IT time, resources, and technology to juggle and correlate infrastructure alternatives. Routinely monitor your cloud resources and service settings. It's important to manage apps, clouds, and people globally. Ensure you have the technology and infrastructure to handle several clouds. Developing Security Strategy Operating multiple clouds requires a security strategy and seamless integration of security capabilities. There's no single right answer since vendors have varied policies and cybersecurity methods. Storing data on many cloud deployments prevents data loss. Handling backups and safety copies of your data are crucial. Regularly examine your multi-cloud network's security. The cyber threat environment will vary as infrastructure and software do. Multi-cloud strategies must safeguard data and applications. Skillset Management Multi-cloud complexity requires skilled operators. Do you have the appropriate IT personnel to handle multi-cloud? If not, can you use managed or cloud services? These individuals or people are in charge of teaching the organization about how each cloud deployment helps the company accomplish its goals. This specialist ensures all cloud entities work properly by utilizing cloud technologies. Closing Lines Traditional cloud monitoring solutions are incapable of dealing with dynamic multi-cloud setups, but automated intelligence is the best at getting to the heart of cloud performance and security concerns. To begin with, businesses require end-to-end observability in order to see the overall picture. Add automation and causal AI to this capacity, and teams can obtain the accurate answers they require to better optimize their environments, freeing them up to concentrate on increasing innovation and generating better business results.

Read More
Server Virtualization

Boosting Productivity with Kubernetes and Docker

Article | May 17, 2023

Contents 1. Introduction 2. Software Development and Secure Testing 3. Using VMs in Software Development and Secure Testing 4. Conclusion 1. Introduction “Testing is an infinite process of comparing the invisible to the ambiguous in order to avoid the unthinkable happening to the anonymous.” —James Bach. Testing software is crucial for identifying and fixing security vulnerabilities. However, meeting quality standards for functionality and performance does not guarantee security. Thus, software testing nowadays is a must to identify and address application security vulnerabilities to maintain the following: Security of data history, databases, information, and servers Customers’ integrity and trust Web application protection from future attacks VMs provide a flexible and isolated environment for software development and security testing. They offer easy replication of complex configurations and testing scenarios, allowing efficient issue resolution. VMs also provide secure testing by isolating applications from the host system and enabling a reset to a previous state. In addition, they facilitate DevOps practices and streamline the development workflow. 2. Software Development and Secure Testing Software Secure Testing: The Approach The following approaches must be considered while preparing and planning for security tests: Architecture Study and Analysis: Understand whether the software meets the necessary requirements. Threat Classification: List all potential threats and risk factors that must be tested. Test Planning: Run the tests based on the identified threats, vulnerabilities, and security risks. Testing Tool Identification: For software security testing tools for web applications, the developer must identify the relevant security tools to test the software for specific use cases. Test-Case Execution: After performing a security test, the developer should fix it using any suitable open-source code or manually. Reports: Prepare a detailed test report of the security tests performed, containing a list of the vulnerabilities, threats, and issues resolved and the ones that are still pending. Ensuring the security of an application that handles essential functions is paramount. This may involve safeguarding databases against malicious attacks or implementing fraud detection mechanisms for incoming leads before integrating them into the platform. Maintaining security is crucial throughout the software development life cycle (SDLC) and must be at the forefront of developers' minds while executing the software's requirements. With consistent effort, the SDLC pipeline addresses security issues before deployment, reducing the risk of discovering application vulnerabilities while minimizing the damage they could cause. A secure SDLC makes developers responsible for critical security. Developers need to be aware of potential security concerns at each step of the process. This requires integrating security into the SDLC in ways that were not needed before. As anyone can potentially access source code, coding with potential vulnerabilities in mind is essential. As such, having a robust and secure SDLC process is critical to ensuring applications are not subject to attacks by hackers. 3. Using VMs in Software Development and Secure Testing: Snapshotting: Snapshotting allows developers to capture a VM's state at a specific point in time and restore it later. This feature is helpful for debugging and enables developers to roll back to a previous state when an error occurs. A virtual machine provides several operations for creating and managing snapshots and snapshot chains. These operations let users create snapshots, revert to any snapshots in the chain, and remove snapshots. In addition, extensive snapshot trees can be created to streamline the flow. Virtual Networking: It allows virtual machines to be connected to virtual networks that simulate complex network topologies, allowing developers to test their applications in different network environments. This allows expanding data centers to cover multiple physical locations, gaining access to a plethora of more efficient options. This empowers them to effortlessly modify the network as per changing requirements without any additional hardware. Moreover, providing the network for specific applications and needs offers greater flexibility. Additionally, it enables workloads to be moved seamlessly across the network infrastructure without compromising on service, security, or availability. Resource Allocation: VMs can be configured with specific resource allocations such as CPU, RAM, and storage, allowing developers to test their applications under different resource constraints. Maintaining a 1:1 ratio between the virtual machine processor and its host or core is highly recommended. It's crucial to refrain from over-subscribing virtual machine processors to a single core, as this could lead to stalled or delayed events, causing significant frustration and dissatisfaction among users. However, it is essential to acknowledge that IT administrators sometimes overallocate virtual machine processors. In such cases, a practical approach is to start with a 2:1 ratio and gradually move towards 4:1, 8:1, 12:1, and so on while bringing virtual allocation into IT infrastructure. This approach ensures a safe and seamless transition towards optimized virtual resource allocation. Containerization within VMs: Containerization within VMs provides an additional layer of isolation and security for applications. Enterprises are finding new use cases for VMs to utilize their in-house and cloud infrastructure to support heavy-duty application and networking workloads. This will also have a positive impact on the environment. DevOps teams use containerization with virtualization to improve software development flexibility. Containers allow multiple apps to run in one container with the necessary components, such as code, system tools, and libraries. For complex applications, both virtual machines and containers are used together. However, while containers are used for the front-end and middleware, VMs are used for the back-end. VM Templates: VM templates are pre-configured virtual machines that can be used as a base for creating new virtual machines, making it easier to set up development and testing environments. A VM template is an image of a virtual machine that serves as a master copy. It includes VM disks, virtual devices, and settings. By using a VM template, cloning a virtual machine multiple times can be achieved. When you clone a VM from a template, the clones are independent and not linked to the template. VM templates are handy when a large number of similar VMs need to be deployed. They preserve VM consistency. To edit a template, convert it to a VM, make the necessary changes, and then convert the edited VM back into a new template. Remote Access: VMs can be accessed remotely, allowing developers and testers to collaborate more effectively from anywhere worldwide. To manage a virtual machine, follow these steps: enable remote access, connect to the virtual machine, and then access the VNC or serial console. Once connected, full permission to manage the virtual machine is granted with the user's approval. Remote access provides a secure way to access VMs, as connections can be encrypted and authenticated to prevent unauthorized access. Additionally, remote access allows for easier management of VMs, as administrators can monitor and control virtual machines from a central location. DevOps Integration: DevOps is a collection of practices, principles, and tools that allow a team to release software quickly and efficiently. Virtualization is vital in DevOps when developing intricate cloud, API, and SOA systems. Virtual machines enable teams to simulate environments for creating, testing, and launching code, ultimately preserving computing resources. While commencing a bug search at the API layer, teams find that virtual machines are suitable for test-driven development (TDD). Virtualization providers handle updates, freeing up DevOps teams, to focus on other areas and increasing productivity by 50 –60%. In addition, VMs allow for simultaneous testing of multiple release and patch levels, improving product compatibility and interoperability. 4. Conclusion The outlook for virtual machine applications is highly promising in the development and testing fields. With the increasing complexity of development and testing processes, VMs can significantly simplify and streamline these operations. In the future, VMs are expected to become even more versatile and potent, providing developers and testers with a broader range of tools and capabilities to facilitate the development process. One potential future development is integrating machine learning and artificial intelligence into VMs. This would enable VMs to automate various tasks, optimize the allocation of resources, and generate recommendations based on performance data. Moreover, VMs may become more agile and lightweight, allowing developers and testers to spin up and spin down instances with greater efficiency. The future of VM applications for software development and security testing looks bright, with continued innovation and development expected to provide developers and testers with even more powerful and flexible tools to improve the software development process.

Read More
Server Hypervisors

Network Virtualization: The Future of Businesses and Networks

Article | September 9, 2022

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.

Read More
VMware

VMware Tanzu Kubernetes Grid Integrated: A Year in Review

Article | December 14, 2021

The modern application world is advancing at an unprecedented rate. However, the new possibilities these transformations make available don’t come without complexities. IT teams often find themselves under pressure to keep up with the speed of innovation. That’s why VMware provides a production-ready container platform for customers that aligns to upstream Kubernetes, VMware Tanzu Kubernetes Grid Integrated (formerly known as VMware Enterprise PKS). By working with VMware, customers can move at the speed their businesses demand without the headache of trying to run their operations alone. Our offerings help customers stay current with the open source community's innovations while having access to the support they need to move forward confidently. Many changes have been made to Tanzu Kubernetes Grid Integrated edition over the past year that are designed to help customers keep up with Kubernetes advancements, move faster, and enhance security. Kubernetes updates The latest version, Tanzu Kubernetes Grid Integrated 1.13, bumped to Kubernetes version 1.22 and removed beta APIs in favor of stable APIs that have since evolved from the betas. Over time, some APIs will evolve. Beta APIs typically evolve more often than stable APIs and should therefore be checked before updates occur. The APIs listed below will not be served with v1.22 as they have been replaced by more stable API versions: Beta versions of the ValidatingWebhookConfiguration and MutatingWebhookConfiguration API (the admissionregistration.k8s.io/v1beta1 API versions) The beta CustomResourceDefinition API (apiextensions.k8s.io/v1beta1) The beta APIService API (apiregistration.k8s.io/v1beta1) The beta TokenReview API (authentication.k8s.io/v1beta1) Beta API versions of SubjectAccessReview, LocalSubjectAccessReview, SelfSubjectAccessReview (API versions from authorization.k8s.io/v1beta1) The beta CertificateSigningRequest API (certificates.k8s.io/v1beta1) The beta Lease API (coordination.k8s.io/v1beta1) All beta Ingress APIs (the extensions/v1beta1 and networking.k8s.io/v1beta1 API versions) Containerd support Tanzu Kubernetes Grid Integrated helps customers eliminate lengthy deployment and management processes with on-demand provisioning, scaling, patching, and updating of Kubernetes clusters. To stay in alignment with the Kubernetes community, Containerd will be used as the default container runtime, although Docker can still be selected using the command-line interface (CLI) if needed. Networking Several updates have been made in regards to networking as well including support of Antrea and NSX-T enhancements. Antrea support With Tanzu Kubernetes Grid Integrated version 1.10 and later, customers can leverage Antrea on install or upgrade to use Kubernetes network policies. This enables enterprises to get the best of both worlds: access to the latest innovation from Antrea and world-class support from VMware. NSX-T enhancements NSX-T was integrated with Tanzu Kubernetes Grid Integrated to simplify container networking and increase security. This has been enhanced so customers can now choose the policy API as an option on a fresh installation of Tanzu Kubernetes Grid Integrated. This means that users will have access to new features available only through NSX-T policy API. This feature is currently in beta. In addition, more NSX-T and NSX Container Plug-in (NCP) configuration is possible through the network profiles. This operator command provides the benefit of being able to set configurations through the CLI, and this is persistent across lifecycle events. Storage enhancements We’ve made storage operations in our customers’ container native environments easier, too. Customers were seeking a simpler and more secure way to manage Container Storage Interface (CSI), and we introduced automatic installation of the vSphere CSI driver as a BOSH process beginning with Tanzu Kubernetes Grid Integrated 1.11. Also, as VCP will be deprecated, customers are advised to use the CSI driver. VCP-to-CSI migration is a part of Tanzu Kubernetes Grid Integrated 1.12 and is designed to help customers move forward faster. Enhanced security Implementing new technologies provides users with new capabilities, but it can also lead to new security vulnerabilities if not done correctly. VMware’s goal is to help customers move forward with ease and the confidence of knowing that enhancements don’t compromise core security needs. CIS benchmarks This year, Tanzu Kubernetes Grid Integrated continued to see improvements that help meet today’s high security standards. Meeting the Center for Internet Security (CIS) benchmarks standards is vital for Tanzu Kubernetes Grid Integrated. In recent Tanzu Kubernetes Grid Integrated releases, a few Kubernetes-related settings have been adjusted to ensure compliance with CIS requirements: Kube-apiserver with --kubelet-certificate-authority settings (v1.12) Kube-apiserver with --authorization-mode argument includes Node (v1.12) Kube-apiserver with proper --audit-log-maxage argument (v1.13) Kube-apiserver with proper --audit-log-maxbackup argument (v1.13) Kube-apiserver with proper --audit-log-maxsize argument (v1.13) Certificate rotations Tanzu Kubernetes Grid Integrated secures all communication between its control plane components and the Kubernetes clusters it manages, using TLS validated by certificates. The certificate rotations have been simplified in recent releases. Customers can now list and simply update certificates on a cluster-by-cluster basis through the “tkgi rotate-certificates” command. The multistep, manual process was replaced with a single CLI command to rotate NSX-T certificates (available since Tanzu Kubernetes Grid Integrated 1.10) and cluster-by-cluster certificates (available since Tanzu Kubernetes Grid Integrated 1.12). Hardening of images Tanzu Kubernetes Grid Integrated keeps OS images, container base images, and software library versions updated to remediate the CVEs reported by customers and in the industry. It also continues to use the latest Ubuntu Xenial Stemcell latest versions for node virtual machines. With recent releases and patch versions, the version of dockerd, containerd, runc, telegraf, nfs-utils had been bumped to the latest stable and secure versions as well. By using Harbor as a private registry management service, customers could also leverage the built-in vulnerability scan features to discover the application images CVEs. VMware is dedicated to supporting customers with production readiness by enhancing the user experience. Tanzu Kubernetes Grid Integrated Edition has stayed up to date with the Kubernetes community and provides customers with the support and resources they need to innovate rapidly.

Read More
MORE ARTICLES

Spotlight

NETS-International Communication

NETS International is an IT and Telecom solution provider for Telcos, Enterprise and SMEs with coverage in Middle East and Africa. We help Customers to plan, build, support and manage their ICT networks. NETS products and services are broadly defined in the following areas.

Related News

BIGTINCAN EXPANDS TECH MARKET PRESENCES WITH ACQUISITION OF VEELO INC.

Bigtincan | July 25, 2019

Bigtincan (ASX:BTH), the leader in mobile, AI-powered sales enablement automation, today announced the acquisition of Veelo Inc., a pioneer in sales enablement, to expand Bigtincan’s presence and offerings in the technology market vertical. The combination of Bigtincan’s solution, designed with the mobile-first user in mind, and Veelo’s focus on traditional sales enablement with key enhancements for desktop and web solutions, will augment and compliment the different ways sales teams work, no matter which platform they choose. Veelo’s award-winning sales enablement platform increases sales performance by predicatively guiding sellers on what to know, say and do. Designed with brain science principles in mind, the Veelo Vault ready-made sales enablement templates showcase the most relevant resources available to each sales person. Veelo’s intelligent search also provides instant access for teams to quickly find relevant images, videos, blog posts and documents. Bigtincan will integrate the Veelo Sales Enablement Platform with the Bigtincan platform to provide additional capabilities to sales teams, including the creation of a single pane of reference for users to manage content and training materials, and automatically deliver them to user devices.

Read More

BIGTINCAN RECOGNIZED BY KEY INDUSTRY ORGANIZATIONS AS LEADER IN SALES ENABLEMENT

Bigtincan | August 13, 2019

Bigtincan (ASX:BTH), the leader in mobile, AI-powered sales enablement automation, was presented with the MarTech Breakthrough Award for “Best Sales Enablement Software for SMBs” for the second year in a row. Additionally Bigtincan was recently named a “Sales Automation Solution” Gold Winner, “Cloud Computing/SaaS Product or Service for Sales” Bronze Winner and “Best New Product or Service for Sales” Gold Winner by the Customer Sales and Service World Awards. This follows a recognition from Selling Power as a Top 10 AI Solutions for Sales in 2019. Bigtincan was also recently shortlisted for Best Application of AI for Sales and Marketing for the AIconics Awards. The MarTech Breakthrough Awards, Customer Sales and Service World Awards, Selling Power Top 10 Solutions list and AIconics Awards all recognize achievements in key areas of sales enablement – martech, customer service and sales – and acknowledge organizations who set industry benchmarks for excellence by addressing some of the biggest challenges sales teams and marketers face. Bigtincan continues to enhance its advanced, AI-powered platform with AR and VR pitch building offerings and new voice assistant capabilities through the Bigtincan Genie to answer questions on-the-go. Furthermore, these new capabilities allow sales teams to customize and combine documents to build decks that can easily be presented via iPad or shared with others, as well as presented with AR, VR and enhanced multi-media content.

Read More

BIGTINCAN NAMED IN GARTNER’S MARKET GUIDE FOR SALES ENGAGEMENT PLATFORMS, MEETING ALL IDENTIFIED CAPABILITIES

Bigtincan | August 27, 2019

Bigtincan (ASX:BTH), the leader in mobile, AI-powered sales enablement automation,  today announced it has been recognized as a Representative Vendor of Sales Engagement Platforms in all of the capabilities defined by Gartner as part of the August 2019 Market Guide for Sales Enablement Platforms* for the second consecutive year. According to the report, “sales engagement platforms expand sales enablement capabilities by using information about buyer and seller engagement to deliver better sales results. Application leaders supporting sales technology should use this Market Guide to understand the key capabilities of 14 vendors.“We are honored to once again be recognized by Gartner as a Representative Vendor in their 2019 Market Guide for Sales Enablement Platforms,” said David Keane, Bigtincan co-founder and CEO. “We believe Gartner’s recognition further validates Bigtincan’s leadership in this growing and evolving market. Bigtincan continues to make strategic acquisitions to expand into new verticals while adding capabilities to replace outdated systems with intelligent tools of the future. Our products help sales teams learn faster, sell smart and be more productive on a global scale.”

Read More

BIGTINCAN EXPANDS TECH MARKET PRESENCES WITH ACQUISITION OF VEELO INC.

Bigtincan | July 25, 2019

Bigtincan (ASX:BTH), the leader in mobile, AI-powered sales enablement automation, today announced the acquisition of Veelo Inc., a pioneer in sales enablement, to expand Bigtincan’s presence and offerings in the technology market vertical. The combination of Bigtincan’s solution, designed with the mobile-first user in mind, and Veelo’s focus on traditional sales enablement with key enhancements for desktop and web solutions, will augment and compliment the different ways sales teams work, no matter which platform they choose. Veelo’s award-winning sales enablement platform increases sales performance by predicatively guiding sellers on what to know, say and do. Designed with brain science principles in mind, the Veelo Vault ready-made sales enablement templates showcase the most relevant resources available to each sales person. Veelo’s intelligent search also provides instant access for teams to quickly find relevant images, videos, blog posts and documents. Bigtincan will integrate the Veelo Sales Enablement Platform with the Bigtincan platform to provide additional capabilities to sales teams, including the creation of a single pane of reference for users to manage content and training materials, and automatically deliver them to user devices.

Read More

BIGTINCAN RECOGNIZED BY KEY INDUSTRY ORGANIZATIONS AS LEADER IN SALES ENABLEMENT

Bigtincan | August 13, 2019

Bigtincan (ASX:BTH), the leader in mobile, AI-powered sales enablement automation, was presented with the MarTech Breakthrough Award for “Best Sales Enablement Software for SMBs” for the second year in a row. Additionally Bigtincan was recently named a “Sales Automation Solution” Gold Winner, “Cloud Computing/SaaS Product or Service for Sales” Bronze Winner and “Best New Product or Service for Sales” Gold Winner by the Customer Sales and Service World Awards. This follows a recognition from Selling Power as a Top 10 AI Solutions for Sales in 2019. Bigtincan was also recently shortlisted for Best Application of AI for Sales and Marketing for the AIconics Awards. The MarTech Breakthrough Awards, Customer Sales and Service World Awards, Selling Power Top 10 Solutions list and AIconics Awards all recognize achievements in key areas of sales enablement – martech, customer service and sales – and acknowledge organizations who set industry benchmarks for excellence by addressing some of the biggest challenges sales teams and marketers face. Bigtincan continues to enhance its advanced, AI-powered platform with AR and VR pitch building offerings and new voice assistant capabilities through the Bigtincan Genie to answer questions on-the-go. Furthermore, these new capabilities allow sales teams to customize and combine documents to build decks that can easily be presented via iPad or shared with others, as well as presented with AR, VR and enhanced multi-media content.

Read More

BIGTINCAN NAMED IN GARTNER’S MARKET GUIDE FOR SALES ENGAGEMENT PLATFORMS, MEETING ALL IDENTIFIED CAPABILITIES

Bigtincan | August 27, 2019

Bigtincan (ASX:BTH), the leader in mobile, AI-powered sales enablement automation,  today announced it has been recognized as a Representative Vendor of Sales Engagement Platforms in all of the capabilities defined by Gartner as part of the August 2019 Market Guide for Sales Enablement Platforms* for the second consecutive year. According to the report, “sales engagement platforms expand sales enablement capabilities by using information about buyer and seller engagement to deliver better sales results. Application leaders supporting sales technology should use this Market Guide to understand the key capabilities of 14 vendors.“We are honored to once again be recognized by Gartner as a Representative Vendor in their 2019 Market Guide for Sales Enablement Platforms,” said David Keane, Bigtincan co-founder and CEO. “We believe Gartner’s recognition further validates Bigtincan’s leadership in this growing and evolving market. Bigtincan continues to make strategic acquisitions to expand into new verticals while adding capabilities to replace outdated systems with intelligent tools of the future. Our products help sales teams learn faster, sell smart and be more productive on a global scale.”

Read More

Events