VMware
Article | December 7, 2021
It’s an impactful release focused on significant NSX Security enhancements
Putting a hard shell around a soft core is not a recipe for success in security, but somehow legacy security architectures for application protection have often looked exactly like that: a hard perimeter firewall layer for an application infrastructure that was fundamentally not built with security as a primary concern. VMware NSX Distributed Firewall pioneered the micro-segmentation concept for granular access controls for cloud applications with the initial launch of the product in 2013. The promise of Zero Trust security for applications, the simplicity of deployment of the solution, and the ease of achieving internal security objectives made NSX an instant success for security-sensitive customers.
Our newest release — NSX-T 3.2 — establishes a new marker for securing application infrastructure by introducing significant new features to identify and respond to malware and ransomware attacks in the network, to enhance user identification and L7 application identification capabilities, and, at the same time, to simplify deployment of the product for our customers.
Modern day security teams need to secure mission-critical infrastructure from both external and internal attacks. By providing unprecedented threat visibility leveraging IDS, NTA, and Network Detection and Response (NDR) capabilities along with granular controls leveraging L4-L7 Firewall, IPS, and Malware Prevention capabilities, NSX 3.2 delivers an incredible security solution for our customers“
Umesh Mahajan, SVP, GM (Networking and Security Business Unit)
Distributed Advanced Threat Prevention (ATP)
Attackers often use multiple sophisticated techniques to penetrate the network, move laterally within the network in a stealthy manner, and exfiltrate critical data at an appropriate time. Micro-segmentation solutions focused solely on access control can reduce the attack surface — but cannot provide the detection and prevention technologies needed to thwart modern attacks. NSX-T 3.2 introduces several new capabilities focused on detection and prevention of attacks inside the network. Of critical note is that these advanced security solutions do not need network taps, separate monitoring networks, or agents inside each and every workload.
Distributed Malware Prevention
Lastline’s highly reputed dynamic malware technology is now integrated with NSX Distributed Firewall to deliver an industry-first Distributed Malware Prevention solution. Leveraging the integration with Lastline, a Distributed Firewall embedded within the hypervisor kernel can now identify both “known malicious” as well as “zero day” malware
Distributed Behavioral IDS
Whereas earlier versions of NSX Distributed IDPS (Intrusion Detection and Prevention System) delivered primarily signature-based detection of intrusions, NSX 3.2 introduces “behavioral” intrusion detection capabilities as well. Even if specific IDS signatures are not triggered, this capability helps customers know whether a workload is seeing any behavioral anomalies, like DNS tunneling or beaconing, for example, that could be a cause for concern.
Network Traffic Analysis (NTA)
For customers interested in baselining network-wide behavior and identifying anomalous behavior at the aggregated network level, NSX-T 3.2 introduces Distributed Network Traffic Analysis (NTA). Network-wide anomalies like lateral movement, suspicious RDP traffic, and malicious interactions with the Active Directory server, for example, can alert security teams about attacks underway and help them take quick remediation actions.
Network Detection and Response (NDR)
Alert overload, and resulting fatigue, is a real challenge among security teams. Leveraging advanced AI/ML techniques, the NSX-T 3.2 Network Detection and Response solution consolidates security IOCs from different detection systems like IDS, NTA, malware detection. etc., to provide a ”campaign view” that shows specific attacks in play at that point in time. MITRE ATT&CK visualization helps customers see the specific stage in the kill chain of individual attacks, and the ”time sequence” view helps understand the sequence of events that contributed to the attack on the network.
Key Firewall Enhancements
While delivering new Advanced Threat Prevention capabilities is one key emphasis for the NSX-T 3.2 release, providing meaningful enhancements for core firewalling capabilities is an equally critical area of innovation.
Distributed Firewall for VDS Switchports
While NSX-T has thus far supported workloads connected to both overlay-based N-VDS switchports as well as VLAN-based switchports, customers had to move the VLAN switchports from VDS to N-VDS before a Distributed Firewall could be enforced. With NSX-T 3.2, native VLAN DVPGs are supported as-is, without having to move to N-VDS. Effectively, Distributed Security can be achieved in a completely seamless manner without having to modify any networking constructs.
Distributed Firewall workflows in vCenter
With NSX-T 3.2, we are introducing the ability to create and modify Distributed Firewall rules natively within vCenter. For small- to medium-sized VMware customers, this feature simplifies the user experience by eliminating the need to leverage a separate NSX Manager interface.
Advanced User Identification for Distributed and Gateway Firewalls
NSX supported user identity-based access control in earlier releases. With NSX-T 3.2, we’re introducing the ability to directly connect to Microsoft Active Directory to support user identity mapping. In addition, for customers who do not use Active Directory for user authentication, NSX also supports VMware vRealize LogInsight as an additional method to carry out user identity mapping. This feature enhancement is applicable for both NSX Distributed Firewall as well as NSX Gateway Firewall.
Enhanced L7 Application Identification for Distributed and Gateway Firewalls
NSX supported Layer-7 application identification-based access control in earlier releases. With NSX-T 3.2, we are enhancing the signature set to about 750 applications. While several perimeter firewall vendors claim a larger set of Layer-7 application signatures, they focus mostly on internet application identification (like Facebook, for example). Our focus with NSX at this time is on internal applications hosted by enterprises. This feature enhancement is applicable for both NSX Distributed Firewall as well as Gateway Firewalls.
NSX Intelligence
NSX Intelligence is geared towards delivering unprecedented visibility for all application traffic inside the network and enabling customers to create micro-segmentation policies to reduce the attack surface. It has a processing pipeline that de-dups, aggregates, and correlates East-West traffic to deliver in-depth visibility.
Scalability enhancements for NSX Intelligence
As application infrastructure grows rapidly, it is vital that one’s security analytics platform can grow with it. With the new release, we have rearchitected the application platform upon which NSX Intelligence runs — moving from a stand-alone appliance to a containerized micro-service architecture powered by Kubernetes. This architectural change future-proofs the Intelligence data lake and allows us to eventually scale out our solution to n-node Kubernetes clusters.
Large Enterprise customers that need visibility for application traffic can confidently deploy NSX Intelligence and leverage the enhanced scale it supports.
NSX Gateway Firewall
While NSX Distributed Firewall focuses on east-west controls within the network, NSX Gateway Firewall is used for securing ingress and egress traffic into and out of a zone.
Gateway Firewall Malware Detection
NSX Gateway Firewall in the 3.2 release received significant Advanced Threat Detection capabilities. Gateway Firewall can now identify both known as well as zero-day malware ingressing or egressing the network. This new capability is based on the Gateway Firewall integration with Lastline’s highly reputed dynamic network sandbox technology.
Gateway Firewall URL Filtering
Internal users and applications reaching out to malicious websites is a huge security risk that must be addressed. In addition, enterprises need to limit internet access to comply with corporate internet usage policies. NSX Gateway Firewall in 3.2 introduces the capability to restrict access to internet sites. Access can be limited based on either the category the URL belongs to, or the “reputation” of the URL. The URL to category and reputation mapping is constantly updated by VMware so customer intent is enforced automatically even after many changes in the internet sites themselves.
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VMware, Vsphere, Hyper-V
Article | May 2, 2023
Contents
1. Introduction
2. What is Orchestration?
3. How Orchestrating Help Optimize VMs Efficiency?
3.1. Resource Optimization
3.2 Dynamic Scaling
3.3 Faster Deployment
3.4 Improved Security
3.5 Multi-Cloud Management
3.6 Improved Collaboration
4. Considerations while Orchestrating VMs
4.1. Together Hosting of Containers and VMs
4.2 Automated Backup and Restore for VMs
4.3 Ensure Replication for VMs
4.4 Setup Data Synchronization for VMs
5. Conclusion
1. Introduction
Orchestration is a superset of automation. Cloud orchestration goes beyond automation, providing coordination between multiple automated activities. Cloud orchestration is increasingly essential due to the growth of containerization, which facilitates scaling applications across clouds, both public and private.
The demand for both public cloud orchestration and hybrid cloud orchestration has increased as businesses increasingly adopt a hybrid cloud architecture. The quick adoption of containerized, micro-services-based apps that communicate over APIs has fueled the desire for automation in deploying and managing applications across the cloud. This increase in complexity has created a need for VM orchestration that can manage numerous dependencies across various clouds with policy-driven security and management capabilities.
2. What is Orchestration?
Orchestration refers to the process of automating, coordinating, and managing complex systems, workflows, or processes. It typically entails the use of automation tools and platforms to streamline and coordinate the deployment, configuration, management of applications and services across different environments. This includes development, testing, staging, and production.
Orchestration tools in cloud computing can be used to automate the deployment and administration of containerized applications across multiple servers or clusters. These tools can help automate tasks such as container provisioning, scaling, load balancing, and health monitoring, making it easier to manage complex application environments. Orchestration ensures organizations automate and streamline their workflows, reduce errors and downtime, and improve the efficacy and scalability of their operations.
3. How Orchestrating Help Optimize VMs Efficiency?
Orchestration offers enhanced visibility into the resources and processes in use, which helps prevent VM sprawl and helps organizations trace resource usage by department, business unit, or individual user.
Fig. Global Market for VNFO by Virtualization Methodology 2022-27($ million)
(Source: Insight Research)
The above figure shows, VMs have established a solid legacy that will continue to be relevant in the near to mid-term future.
These are 6 ways, in which Orchestration helps vin efficient management of VMs:
3.1. Resource Optimization
Orchestrating helps optimize resource utilization by automating the provisioning and de-provisioning of VMs, which allows for efficient use of computing resources. By using orchestration tools, IT teams can set up rules and policies for automatically scaling VMs based on criteria such as CPU utilization, memory usage, network traffic, and application performance metrics. Orchestration also enables advanced techniques such as predictive analytics, machine learning, and artificial intelligence to optimize resource utilization. These technologies can analyze historical data and identify patterns in workload demand, allowing the orchestration system to predict future resource needs and automatically provision or de-provision resources accordingly
3.2. Dynamic Scaling
Orchestrating helps automate scaling of VMs, enabling organizations to quickly and easily adjust their computing resources based on demand. It enables IT teams to configure scaling policies and regulations for virtual machines based on resource utilization and network traffic along with performance metrics. When the workload demand exceeds a certain threshold, the orchestration system can autonomously provision additional virtual machines to accommodate the increased load. When workload demand decreases, the orchestration system can deprovision VMs to free up resources and reduce costs.
3.3. Faster Deployment
Orchestrating can help automate VM deployment of VMs, reducing the time and effort required to provision new resources. By leveraging advanced technologies such as automation, scripting, and APIs, orchestration can further streamline the VM deployment process. It allows IT teams to define workflows and processes that can be automated using scripts, reducing the time and effort required to deploy new resources. In addition, orchestration can integrate with other IT management tools and platforms, such as cloud management platforms, configuration management tools, and monitoring systems. This enables IT teams to leverage various capabilities and services to streamline the VM deployment and improve efficiency.
3.4. Improved Security
Orchestrating can help enhance the security of VMs by automating the deployment of security patches and updates. It also helps ensure VMs are deployed with the appropriate security configurations and settings, reducing the risk of misconfiguration and vulnerability. It enables IT teams to define standard security templates and configurations for VMs, which can be automatically applied during deployment. Furthermore, orchestration can integrate with other security tools and platforms, such as intrusion detection systems and firewalls, to provide a comprehensive security solution. It allows IT teams to automate the deployment of security policies and rules, ensuring that workloads remain protected against various security threats.
3.5. Multi-Cloud Management
Orchestration helps provide a single pane of glass for VM management, enabling IT teams to monitor and manage VMs across multiple cloud environments from a single platform. This simplifies management and reduces complexity, enabling IT teams to respond more quickly and effectively to changing business requirements. In addition, orchestration also helps to ensure consistency and compliance across multiple cloud environments. Moreover, orchestration can also integrate with other multi-cloud management tools and platforms, such as cloud brokers and cloud management platforms, to provide a comprehensive solution for managing VMs across multiple clouds.
3.6. Improved Collaboration
Orchestration helps streamline collaboration by providing a centralized repository for storing and sharing information related to VMs. Moreover, it also automates many of the routine tasks associated with VM management, reducing the workload for IT teams and freeing up time for more complex tasks. This can improve collaboration by enabling IT teams to focus on more strategic initiatives. In addition, orchestration provides advanced analytics and reporting capabilities, enabling IT teams to track performance, identify bottlenecks, and optimize resource utilization. This improves performance by providing a data-driven approach to VM management and allowing IT teams to work collaboratively to identify and address performance issues.
4. Considerations while Orchestrating VMs
4.1. Together Hosting of Containers and VMs
Containers and virtual machines exist together within a single infrastructure and are managed by the same platform. This allows for hosting various projects using a unified management point and the ability to adapt gradually based on current needs and opportunities. This provides greater flexibility for teams to host and administer applications using cutting-edge technologies and established standards and methods.
Moreover, as there is no need to invest in distinct physical servers for virtual machines (VMs) and containers, this approach can be a great way to maximize infrastructure utilization, resulting in lower TCO and higher ROI. In addition, unified management drastically simplifies processes, requiring fewer human resources and less time.
4.2. Automated Backup and Restore for VMs
--Minimize downtime and reduce risk of data loss
Organizations should set up automated backup and restore processes for virtual machines, ensuring critical data and applications are protected during a disaster. This involves scheduling regular backups of virtual machines to a secondary location or cloud storage and setting up automated restore processes to recover virtual machines during an outage or disaster quickly.
4.3. Ensure Replication for VMs
--Ensure data and applications are available and accessible in the event of a disaster
Organizations should set up replication processes for their VMs, allowing them to be automatically copied to a secondary location or cloud infrastructure. This ensures that critical applications and data are available even during a catastrophic failure at the primary site.
4.4. Setup Data Synchronization for VMs
--Improve overall resilience and availability of the system
VM orchestration tools should be used to set up data synchronization processes between virtual machines, ensuring that data is consistent and up-to-date across multiple locations. This is particularly important in scenarios where data needs to be accessed quickly from various locations, such as in distributed environments.
5. Conclusion
Orchestration provides disaster recovery and business continuity, automatic scalability of distributed systems, and inter-service configuration. Cloud orchestration is becoming significant due to the advent of containerization, which permits scaling applications across clouds, both public and private.
We expect continued growth and innovation in the field of VM orchestration, with new technologies and tools emerging to support more efficient and effective management of virtual machines in distributed environments. In addition, as organizations increasingly rely on cloud-based infrastructures and distributed systems, VM orchestration will continue to play a vital role in enabling businesses to operate smoothly and recover quickly from disruptions.
VM orchestration will remain a critical component of disaster recovery and high availability strategies for years as organizations continue relying on virtualization technologies to power their operations and drive innovation.
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Virtual Desktop Strategies, Server Hypervisors
Article | April 27, 2023
Neglecting virtualization on VMs hampers productivity of firms. Operations become complex and resource usage is suboptimal. Leverage virtualization to empower with enhanced efficiency and scalability.
Contents
1. Introduction
2. Types of Virtualization on VMs
2.1 Server virtualization
2.2 Storage virtualization
2.3 Network virtualization
2.3.1 Software-defined networking
2.3.2 Network function virtualization
2.4 Data virtualization
2.5 Application virtualization
2.6 Desktop virtualization
3. Impact of Virtualized VMs on Business Enterprises
3.1 Virtualization as a Game-Changer for Business Models
3.2 Evaluating IT Infrastructure Reformation
3.3 Virtualization Impact on Business Agility
4. How can Businesses Scale ROI with Adoption of Virtualization in Virtual Machines?
5. Risks and Challenges of Virtual Machines in the Cloud
5.1 Resource Distribution:
5.2 VM Sprawl:
5.3 Backward Compatibility
5.4 Conditional Network Monitoring
5.5 Interoperability:
6. Overcoming Roadblocks: Best Practices for Successful Execution of VMs
6.1 Unlocking the Power of Resource Distribution:
6.2 Effective techniques for Avoiding VM Sprawl:
6.3 Backward Compatibility: A Comprehensive Solution:
6.4 Performance Metrics:
6.5 Solutions for Interoperability in a Connected World:
7. Five Leading Providers for Virtualization of VMs
Parallels
Aryaka
Aryaka
Liquidware
Azul
8. Conclusion
1. Introduction
Virtualization on virtual machines (VMs) is a technology that enables multiple operating systems and applications to run on a single physical server or host. It has become essential to modern IT infrastructures, allowing businesses to optimize resource utilization, increase flexibility, and reduce costs. Embracing virtualization on VMs offers many business benefits, including improved disaster recovery, increased efficiency, enhanced security, and better scalability. In this digital age, where businesses rely heavily on technology to operate and compete, virtualization on VMs has become a crucial strategy for staying competitive and achieving business success. Organizations need to be agile and responsive to changing customer demands and market trends. Rather than focusing on consolidating resources, the emphasis now lies on streamlining operations, maximizing productivity, and optimizing convenience.
2. Types of Virtualization on VMs
2.1 Server virtualization
The server virtualization process involves dividing a physical server into several virtual servers. This allows organizations to consolidate multiple physical servers onto a single physical server, which leads to cost savings, improved efficiency, and easier management. Server virtualization is one of the most common types of virtualization used on VMs. Consistent stability/reliability is the most critical product attributes IT decision-makers look for when evaluating server virtualization solutions. Other important factors include robust disaster recovery capabilities and advanced security features. Server Virtualization Market was valued at USD 5.7 Billion in 2018 and is projected to reach USD 9.04 Billion by 2026, growing at a CAGR of 5.9% from 2019 to 2026. (Source: Verified Market Research)
2.2 Storage virtualization
Combining multiple network storage devices into an integrated virtual storage device, storage virtualization facilitates a cohesive and efficient approach to data management within a data center. IT administrators can allocate and manage the virtual storage unit with the help of management software, which facilitates streamlined storage tasks like backup, archiving, and recovery. There are three types of storage virtualization: file-level, block-level, and object-level. File-level consolidates multiple file systems into one virtualized system for easier management. Block-level abstracts physical storage into logical volumes allocated to VMs. Object-level creates a logical storage pool for more flexible and scalable storage services to VMs. The storage virtualization segment held an industry share of more than 10.5% in 2021 and is likely to observe considerable expansion through 2030 (Source: Global Market Insights)
2.3 Network virtualization
Any computer network has hardware elements such as switches, routers, load balancers and firewalls. With network virtualization, virtual machines can communicate with each other across virtual networks, even if they are on different physical hosts. Network virtualization can also enable the creation of isolated virtual networks, which can be helpful for security purposes or for creating test environments. The following are two approaches to network virtualization:
2.3.1 Software-defined networking
Software-defined networking (SDN) controls traffic routing by taking over routing management from data routing in the physical environment. For example, programming the system to prioritize video call traffic over application traffic to ensure consistent call quality in all online meetings.
2.3.2 Network function virtualization
Network function virtualization technology combines the functions of network appliances, such as firewalls, load balancers, and traffic analyzers, that work together to improve network performance. The global Network function virtualization market size was valued at USD 12.9 billion in 2019 and is projected to reach USD 36.3 billion by 2024, at a CAGR of 22.9%, during the forecast period(2019-2024). (Source: MarketsandMarkets)
2.4 Data virtualization
Data virtualization is the process of abstracting, organizing, and presenting data in a unified view that applications and users can access without regard to the data's physical location or format. Using virtualization techniques, data virtualization platforms can create a logical data layer that provides a single access point to multiple data sources, whether on-premises or in the cloud. This logical data layer is then presented to users as a single, virtual database, making it easier for applications and users to access and work with data from multiple sources and support cross-functional data analysis. Data Virtualization Market size was valued at USD 2.37 Billion in 2021 and is projected to reach USD 13.53 Billion by 2030, growing at a CAGR of 20.2% from 2023 to 2030. (Source: Verified Market Research)
2.5 Application virtualization
In this approach, the applications are separated from the underlying hardware and operating system and encapsulated in a virtual environment, which can run on any compatible hardware and operating system. With application virtualization, the application is installed and configured on a virtual machine, which can then be replicated and distributed to multiple end-users. For example, users can run a Microsoft Windows application on a Linux machine without changing the machine configuration. According to a report, the global application virtualization market size is predicted to grow from USD 2.2 billion in 2020 to USD 4.4 billion by 2025, at a CAGR of 14.7% during the period of 2020-2025. (Source: MarketsandMarkets)
2.6 Desktop virtualization
In desktop virtualization, a single physical machine can host multiple virtual machines, each with its own operating system and desktop environment. Users can access these virtual desktops remotely through a network connection, allowing them to work from anywhere and on any device. Desktop virtualization is commonly used in enterprise settings to provide employees with a secure and flexible way to access their work environment. The desktop virtualization market is anticipated to register a CAGR of 10.6% over the forecast period (2018-28). (Source: Mordor Intelligence)
3. Impact of Virtualized VMs on Business Enterprises
Virtualization can increase the adaptability of business processes. The servers can support different operating systems (OS) and applications as the software is decoupled from the hardware. Business processes can be run on virtual computers, with each virtual machine running its own OS, applications, softwares and set of programs.
3.1 Virtualization as a Game-Changer for Business Models
The one server, one application model can be abolished using virtualization, which was inefficient because most servers were underutilized. Instead, one server can become many virtual machines using virtualization software, each running on a different operating system such as Windows, Linux, or Apache. Virtualization has made it possible for companies to fit more virtual servers onto fewer physical devices, saving them space, power, and time spent managing them. The adoption of virtualization services is significantly increased by industrial automation systems. Industrial automation suppliers offer new-generation devices to virtualize VMs and software-driven industrial automation operations. This will solve problems with important automation equipment like Programmable Logic Controller (PLCs) and Distributed Control Systems (DCS), leading to more virtualized goods and services in industrial automation processes.
3.2 Evaluating IT Infrastructure Reformation
IT infrastructure evaluation for virtualization needs to look at existing systems and processes along with finding opportunities and shortcomings. Cloud computing, mobile workforces, and app compatibility cause this growth. Over the last decade, these areas have shifted from conventional to virtual infrastructure. • Capacity on Demand: It is a concept that refers to the ability to quickly and easily deploy virtual servers, either on-premise or through a hosting provider. This is made possible through the use of virtualization technologies. These technologies allow businesses to create multiple virtual instances of servers that can be easily scaled up or down as per the requirement, providing businesses with access to IT capacity on demand. • Disaster Recovery (DR): DR is a critical consideration in evaluating IT infrastructure reformation for virtualization. Virtualization technology enables businesses to create virtual instances of servers that run multiple applications, which eliminates the need for robust DR solutions that can be expensive and time-consuming to implement. As a result, businesses can save costs by leveraging the virtual infrastructure for DR purposes. • Consumerization of IT: The consumerization of IT refers to the increasing trend of employees using personal devices and applications in their work environments. This has resulted in a need for businesses to ensure that their IT infrastructure can support a diverse range of devices and applications. Virtual machines enable businesses to create virtual desktop environments that can be accessed from any device with an internet connection, thereby providing employees with a consistent and secure work environment regardless of their device.
3.3 Virtualization Impact on Business Agility
Virtualization has emerged as a valuable tool for enhancing business agility by allowing firms to respond quickly, efficiently, and cost-effectively to market changes. By enabling rapid installation and migration of applications and services across systems, the migration to the virtualized systems has allowed companies to achieve significant operational flexibility, responsiveness, and scalability gains. According to a poll conducted by Tech Target, 66% of the firms have reported an increase in agility due to virtualization adoption. This trend is expected to rise, driven by growing demand for cost-effective and efficient IT solutions across various industries. In line with this, a comprehensive analysis has projected that the market for virtualization software was estimated to be worth USD 45.51 billion in 2021. It is anticipated to grow to USD 223.35 billion by 2029, with a CAGR of 22.00% predicted for the forecast period of 2022–2029, including application, network, and hardware virtualization. (Source: Data Bridge) This is primarily attributed to the growing need for businesses to improve their agility and competitiveness by leveraging advanced virtualization technologies and solutions for applications and servers.
4. How can Businesses Scale ROI with Adoption of Virtualization in Virtual Machines?
Businesses looking to boost their ROI have gradually shifted to Virtualizing VMs, in the past years. According to a recent study, VM virtualization helps businesses reduce their hardware and maintenance costs by up to 50%, significantly impacting their bottom line. Server consolidation helps reduce hardware costs and improve resource utilization, as businesses allocate resources, operating systems, and applications dynamically based on workload demand. Utilizing application virtualization, in particular, can assist businesses in optimizing resource utilization by as much as 80%. Software-defined Networking (SDN) allows new devices, some with previously unsupported operating systems, to be more easily incorporated into an enterprise’s IT environment. The telecom industry can greatly benefit from the emergence of Network Functions Virtualization (NFV), SDN, and Network Virtualization, as these technologies provide significant advantages. The NFV idea virtualizes and effectively joins service provider network elements on multi-tenant industry-standard servers, switches, and storage. To leverage the benefits of NFV, telecom service providers have heavily invested in NFV services. By deploying NFV and application virtualization together, organizations can create a more flexible and scalable IT infrastructure that responds to changing business needs more effectively.
5. Risks and Challenges of Virtual Machines in the Cloud
5.1 Resource Distribution:
Resource availability is crucial when running applications in a virtual machine, as it leads to increased resource consumption. The resource distribution in VMs is typically managed by a hypervisor or virtual machine manager responsible for allocating resources to the VMs based on their specific requirements. A study found that poor resource management can lead to overprovisioning, increasing cloud costs by up to 70%. (Source: Gartner)
5.2 VM Sprawl:
82% of companies experienced VM sprawl, with the average organization having 115% more VMs than they need, as per a survey. (Source: Veeam) VM sprawl can occur in virtualization when an excessive proliferation of virtual machines is not effectively managed or utilized, leading to many underutilized or inactive VMs. This can lead to increased resource consumption, higher costs, and reduced performance.
5.3 Backward Compatibility:
Backward compatibility can be particularly challenging in virtualized systems, where applications may run on multiple operating systems than they were designed for. A recent study showed that 87% of enterprises have encountered software compatibility issues during their migration to the cloud for app virtualization. (Source: Flexera)
5.4 Conditional Network Monitoring:
A study found that misconfigurations, hardware problems, and human error account for over 60% of network outages. (Source: SolarWinds) Network monitoring tools can help organizations monitor virtual network traffic and identify potential network issues affecting application performance in VMs. These tools also provide visibility into network traffic patterns, enabling IT teams to identify areas for optimization and improvement.
5.5 Interoperability:
Interoperability issues are common when implementing cloud-based virtualization when integrating the virtualized environment with other on-premises or cloud-based systems. According to a report, around 50% of virtualization projects encounter interoperability issues that require extensive troubleshooting and debugging. (Source: Gartner)
6. Overcoming Roadblocks: Best Practices for Successful Execution of VMs
6.1 Unlocking the Power of Resource Distribution:
By breaking up large, monolithic applications into smaller, more manageable components, virtualizing allows organizations to distribute resources effectively, enabling its users with varying needs to utilize the resources with optimum efficiency. With prioritizing resource distribution, resources such as CPU, memory, and storage can be dynamically allocated to virtual machines as needed. Businesses must frequently monitor and evaluate resource utilization data to better resource allocation and management.
6.2 Effective techniques for Avoiding VM Sprawl:
VM sprawl can be addressed through a variety of techniques, including VM lifecycle management, automated provisioning, and regular audits of virtual machine usage. Tools such as virtualization management software, cloud management platforms, and monitoring tools can help organizations gain better visibility and control over their virtual infrastructure. Monitoring applications and workload requirements as well as establishing policies and procedures for virtual machine provisioning & decommissioning are crucial for businesses to avoid VM sprawl.
6.3 Backward Compatibility: A Comprehensive Solution:
One of the solutions to backward compatibility challenges is to use virtualization technologies, such as containers or hypervisors, that allow older applications to run on newer hardware and software. Another solution is to use compatibility testing tools that can identify potential compatibility issues before they become problems. To ensure that virtual machines can run on different hypervisors or cloud platforms, businesses can implement standardized virtualization architectures that support a wide range of hardware and software configurations.
6.4 Performance Metrics:
Businesses employing cloud-based virtualization must have reliable network monitoring in order to guarantee the best possible performance of their virtual workloads and to promptly detect and resolve any problems that may affect the performance. Businesses can improve their customers' experience in VMs by implementing a network monitoring solution that helps them locate slow spots, boost speed, and avoid interruptions.
6.5 Solutions for Interoperability in a Connected World:
Standardized communication protocols and APIs help cloud-based virtualization setups to interoperate. Integrating middleware like enterprise service buses (ESBs) can consolidate system and application management. In addition, businesses can use cloud-native tools and services like Kubernetes for container orchestration or cloud-native databases for interoperability in virtual machines.
7. Five Leading Providers for Virtualization of VMs
Aryaka
Aryaka is a pioneer of a cloud-first architecture for the delivery of SD-WAN and, more recently, SASE. Using their proprietary, integrated technology and services, they ensure safe connectivity for businesses. They are named a Gartner ‘Voice of the Customer leader’ for simplifying the adoption of network and network security solutions with organization standards for shifting from legacy IT infrastructure to various modern deployments.
Gigamon
Gigamon provides a comprehensive network observability solution that enhances observability tools' capabilities. The solution helps IT organizations ensure security and compliance governance, accelerate the root-cause analysis of performance issues, and reduce the operational overhead of managing complex hybrid and multi-cloud IT infrastructures. Gigamon's solution offers a deep observability pipeline that harnesses actionable network-level intelligence to amplify the power of observability tools.
Liquidware
Liquidware is a software company that offers desktop and application virtualization solutions. Their services include user environment management, application layering, desktop virtualization, monitoring and analytics, and migration services. Using these services, businesses can improve user productivity, reduce complexity in managing applications, lower hardware costs, troubleshoot issues quickly, and migrate to virtualized environments efficiently.
Azul
Azul offers businesses Java runtime solutions. Azul Platform Prime is a cloud-based Java runtime platform that provides enhanced performance, scalability, and security. Azul provides 24/7 technical support and upgrades for Java applications. Their services improve Java application performance, dependability, and security for enterprises. Azul also provides Java application development and deployment training and consultancy.
8. Conclusion
Virtualization of VMs in businesses boosts their ROI significantly. The integration of virtualization with DevOps practices could allow for more streamlined application delivery and deployment, with greater automation and continuous integration, thus achieving greater success in current competitive business landscape. We expect to see more advancements in developing new hypervisors and management tools in the coming years. Additionally, there will likely be an increased focus on security and data protection in virtualized environments, as well as greater integration with other emerging technologies like containerization and edge computing. Virtualization is set to transform the business landscape in future by facilitating the effective and safe deployment and management of applications as technology advances and new trends emerge. The future of virtualization looks promising as it continues to adapt to and revolutionize the changing needs of organizations, streamlining their operations, reducing carbon footprint, and improving overall sustainability. As such, virtualization will continue to be a crucial technology for businesses seeking to thrive in the digital age.
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Virtual Desktop Strategies
Article | June 7, 2022
Introduction
With cloud computing on the path to becoming the mother of all transformations, particularly in IT's ways of development and operations, we are once again confronted with the problem of conversion errors, this time a hundredfold higher than previous moves to dispersed computing and the web.
While the issue is evident, the remedies are not so obvious. Cloud complexity is the outcome of the fast acceleration of cloud migration and net-new innovation without consideration of the complexity this introduces in operations.
Almost all businesses are already working in a multi-cloud or hybrid-cloud environment. According to an IDC report, 93% of enterprises utilize multiple clouds. The decision could have stemmed from a desire to save money and avoid vendor lock-in, increase resilience, or businesses might have found themselves with several clouds as a result of the compounding activities of different teams. When it comes to strategic technology choices, relatively few businesses begin by asking, "How can we secure and control our technology?"
Must-Follow Methods for Multi-Cloud and Hybrid Cloud Success
Data Analysis at Any Size, from Any Source:
To proactively recognize, warn, and guide investigations, teams should be able to utilize all data throughout the cloud and on-premises.
Insights in Real-Time:
Considering the temporary nature of containerized operations and functions as a service, businesses cannot wait minutes to determine whether they are experiencing infrastructure difficulties. Only a scalable streaming architecture can ingest, analyze, and alert rapidly enough to discover and investigate problems before they have a major impact on consumers.
Analytics That Enables Teams to Act:
Because multi-cloud and hybrid-cloud strategies do not belong in a single team, businesses must be able to evaluate data inside and across teams in order to make decisions and take action swiftly.
How Can VMware Help in Solving Multi-Cloud and Hybrid-Cloud Complexity?
VMware made several announcements indicating a new strategy focused on modern applications. Their approach focuses on two VMware products: vSphere with Kubernetes and Tanzu.
Since then, much has been said about VMware's modern app approach, and several products have launched. Let's focus on VMware Tanzu.
VMware Tanzu
Tanzu is a product that enables organizations to upgrade both their apps and the infrastructure that supports them. In the same way that VMware wants vRealize to be known for cloud management and automation, Tanzu wants to be known for modern business applications.
Tanzu uses Kubernetes to build and manage modern applications.
In Tanzu, there is just one development environment and one deployment process.
VMware Tanzu is compatible with both private and public cloud infrastructures.
Closing Lines
The important point is that the Tanzu portfolio offers a great deal of flexibility in terms of where applications operate and how they are controlled. We observe an increase in demand for operating an application on any cloud, and how VMware Tanzu assists us in streamlining the multi-cloud operation for MLOps pipeline. Apart from multi-cloud operation, it is critical to monitor and alarm each component throughout the MLOps lifecycle, from Kubernetes pods and inference services to data and model performance.
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