Common NFVi Telco Task Force publishes reference model and reference architecture for unified framework

After taking flight early this year, Common NFVi Telco Taskforce (CNTT) announced on Monday that it has published its first specifications to align the industry on a unified NFV framework. CNTT was formed to create and document a common network functions virtualization infrastructure (NFVi) framework in order to speed up the deployment of virtual network functions (VNFs) across the entire telecommunications stack. Currently, there are too many instances of NFVi, which means VNF vendors need to create multiple versions of their VNFs to work with the different flavors of NFVi. Common NFVi Telco Task Force is taking aim at reducing the number of NFVi implementations from low double digits down to three or four versions.

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Server Hypervisors

Addressing Multi-Cloud Complexity with VMware Tanzu

Article | May 18, 2023

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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Server Hypervisors

Managing Multi-Cloud Complexities for a Seamless Experience

Article | September 9, 2022

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.

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Virtual Desktop Tools

Evaluating the Impact of Application Virtualization

Article | August 12, 2022

The emergence of the notion of virtualization in today's digital world has turned the tables. It has assisted the sector in increasing production and making every activity easy and effective. One of the most remarkable innovations is the virtualization of applications, which allows users to access and utilize applications even if they are not installed on the system on which they are working. As a result, the cost of obtaining software and installing it on specific devices is reduced. Application virtualization is a technique that separates an application from the operating system on which it runs. It provides access to a program without requiring it to be installed on the target device. The program functions and interacts with the user as if it were native to the device. The program window can be resized, moved, or minimized, and the user can utilize normal keyboard and mouse movements. There might be minor differences from time to time, but the user gets a seamless experience. Let’s have a look at the ways in which application virtualization helps businesses. The Impact of Application Virtualization • Remote-Safe Approach Application virtualization enables remote access to essential programs from any end device in a safe and secure manner. With remote work culture developing as an increasingly successful global work paradigm, the majority of businesses have adapted to remote work-from-home practice. This state-of-the-art technology is the best option for remote working environments because it combines security and convenience of access. • Expenditure Limitations If you have a large end-user base that is always growing, acquiring and operating separate expensive devices for each individual user would definitely exhaust your budget. In such situations, virtualization will undoubtedly come in handy because it has the potential to offer all necessary applications to any target device. • Rolling Out Cloud Applications Application virtualization can aid in the development and execution of a sophisticated and controlled strategy to manage and assure a seamless cloud transition of an application that is presently used as an on-premise version in portions of the same enterprise. In such cases, it is vital to guarantee that the application continues to work properly while being rolled out to cloud locations. You can assure maximum continuity and little impact on your end customers by adopting a cutting-edge virtualization platform. These platforms will help to ensure that both the on-premise and cloud versions of the application are delivered smoothly to diverse groups sitting inside the same workspace. • Implementation of In-House Applications Another prominent case in which virtualization might be beneficial is the deployment and execution of in-house applications. Developers often update such programs on a regular basis. Application virtualization enables extensive remote updates, installation, and distribution of critical software. As a result, this technology is crucial for enterprises that build and employ in-house applications. Closing Lines There is no doubt about the efficiency and advantages of application virtualization. You do not need to be concerned with installing the programs on your system. Moreover, you do not need to maintain the minimum requirements for running such programs since they will operate on the hosted server, giving you the impression that the application is operating on your system. There will be no performance concerns when the program runs. There will not be any overload on your system, and you will not encounter any compatibility issues as a result of your system's underlying operating system.

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Virtual Desktop Tools, Server Hypervisors

Virtual Machine Security Risks and Mitigation in Cloud Computing

Article | April 28, 2023

Analyzing risks and implementing advanced mitigation strategies: Safeguard critical data, fortify defenses, and stay ahead of emerging threats in the dynamic realm of virtual machines in cloud. Contents 1. Introduction 2. 10 Security Risks Associated with Virtual Machines in Cloud Computing 3. Best Practices to Avoid Security Compromise 4. Conclusion 1. Introduction Cloud computing has revolutionized the way businesses operate by providing flexible, scalable, and cost-effective infrastructure for running applications and services. Virtual machines (VMs) are a key component of cloud computing, allowing multiple virtual machines to run on a single physical machine. However, the use of virtual machines in cloud computing introduces new security risks that need to be addressed to ensure the confidentiality, integrity, and availability of data and services. Effective VM security in the cloud requires a comprehensive approach that involves cloud providers and users working together to identify and address potential virtual machine security threats. By implementing these best practices and maintaining a focus on security, cloud computing can provide a secure and reliable platform for businesses to run their applications and services. 2. 10 Security Risks Associated with Virtual Machines in Cloud Computing Denial of Service (DoS) attacks: These are attacks that aim to disrupt the availability of a VM or the entire cloud infrastructure by overwhelming the system with traffic or resource requests. Insecure APIs: Cloud providers often expose APIs that allow users to manage their VMs. If these APIs are not properly secured, attackers can exploit them to gain unauthorized access to VMs or manipulate their configurations. Data leakage: Virtual machines can store sensitive data such as customer information or intellectual property. If not secured, this data can be exposed to unauthorized access or leakage. Shared resources: VMs in cloud environments often share physical resources such as memory, CPU, and network interfaces. If these resources are not isolated, a compromised VM can potentially affect the security and performance of other VMs running on the same physical host. Lack of visibility: Virtual machines in cloud environments can be more difficult to monitor than physical machines. This can make it harder to detect security incidents or anomalous behavior. Insufficient logging and auditing: If cloud providers do not implement appropriate logging and auditing mechanisms, it can be difficult to determine the cause and scope of a security incident. VM escape: This is when an attacker gains access to the hypervisor layer and then escapes into the host operating system or other VMs running on the same physical host. Side-channel attacks: This is when an attacker exploits the physical characteristics of the hardware to gain unauthorized access to a VM. Examples of side-channel attacks include timing attacks, power analysis attacks, and electromagnetic attacks. Malware attacks: VMs can be infected with malware, just like physical machines. Malware can be used to steal data, launch attacks on other VMs or systems, or disrupt the functioning of the VM. Insider threats: Malicious insiders can exploit their access to VMs to steal data, modify configurations, or launch attacks. 3. Best Practices to Avoid Security Compromise To mitigate these risks, there are several virtual machine security guidelines that cloud service providers and users can follow: Keep software up-to-date: Regularly updating software and security patches for virtual machines is crucial in preventing known vulnerabilities from being exploited by hackers. Software updates fix bugs and security flaws that could allow unauthorized access, data breaches, or malware attacks. According to a study, 60% of data breaches are caused by vulnerabilities that were not patched or updated in a timely manner.(Source: Ponemon Institute) Use secure hypervisors: A hypervisor is a software layer that enables multiple virtual machines to run on a single physical server. Secure hypervisors are designed to prevent unauthorized access to virtual machines and protect them from potential security threats. When choosing a hypervisor, it is important to select one that has undergone rigorous testing and meets industry standards for security. In 2018, a group of researchers discovered a new type of attack called "Foreshadow" (also known as L1 Terminal Fault). The attack exploits vulnerabilities in Intel processors and can be used to steal sensitive data from virtual machines running on the same physical host. Secure hypervisors that have implemented hardware-based security features can provide protection against Foreshadow and similar attacks. (Source: Foreshadow) Implement strong access controls: Access control is the practice of restricting access to virtual machines to authorized users. Multi-factor authentication adds an extra layer of security by requiring users to provide more than one type of authentication method before accessing VMs. Strong access controls limit the risk of unauthorized access and can help prevent data breaches. According to a survey, organizations that implemented multi-factor authentication saw a 98% reduction in the risk of phishing-related account breaches. (Source: Duo Security) Monitor VMs for anomalous behavior: Monitoring virtual machines for unusual or unexpected behavior is an essential security practice. This includes monitoring network traffic, processes running on the VM, and other metrics that can help detect potential security incidents. By monitoring VMs, security teams can detect and respond to security threats before they can cause damage. A study found that 90% of organizations that implemented a virtualized environment experienced security benefits, such as improved visibility into security threats and faster incident response times. (Source: VMware) Use Encryption: Encryption is the process of encoding information in such a way that only authorized parties can access it. Encrypting data both in transit and at rest protects it from interception or theft by hackers. This can be achieved using industry-standard encryption protocols and technologies. According to a report by, the average cost of a data breach in 2020 was $3.86 million. The report also found that organizations that implemented encryption had a lower average cost of a data breach compared to those that did not (Source: IBM) Segregate VMs: Segregating virtual machines is the practice of keeping sensitive VMs separate from less sensitive ones. This reduces the risk of lateral movement, which is when a hacker gains access to one VM and uses it as a stepping stone to gain access to other VMs in the same environment. Segregating VMs helps to minimize the risk of data breaches and limit the potential impact of a security incident. A study found that organizations that implemented a virtualized environment without adequate segregation and access controls were more vulnerable to VM security breaches and data loss. (Source: Ponemon Institute) Regularly Back-up VMs: Regularly backing up virtual machines is a critical security practice that can help mitigate the impact of malware attacks, system failures, or other security incidents. Backups should be stored securely and tested regularly to ensure that they can be restored quickly in the event of a security incident. A survey conducted found that 42% of organizations experienced a data loss event in 2020 with the most common cause being accidental deletion by an employee (29%). (Source: Veeam) 4. Conclusion The complexity of cloud environments and the shared responsibility model for security require organizations to adopt a comprehensive security approach that spans multiple infrastructure layers, from the physical to the application layer. The future of virtual machine security concern in cloud computing will require continued innovation and adaptation to new threats and vulnerabilities. As a result, organizations must remain vigilant and proactive in their security efforts, leveraging the latest technologies and best practices to protect their virtual machines, the sensitive data and resources they contain.

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IPSS

Systems Integrator based in Coventry, UK. We provide infrastructure, networking and electronic security to any industry.

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Virtualized Environments

VeriSilicon Unveils the New VC9800 IP for Next Generation Data Centers

Business Wire | January 09, 2024

VeriSilicon today unveiled its latest VC9800 series Video Processor Unit (VPU) IP with enhanced video processing performance to strengthen its presence in the data center applications. The newly launched series IP caters to the advanced requirements of next generation data centers including video transcoding servers, AI servers, virtual cloud desktops, and cloud gaming. The VC9800 series of VPU IP boasts high performance, high throughput, and server-level multi-stream encoding and decoding capabilities. It can handle up to 256 streams and support all mainstream video formats, including the new advanced format VVC. Through Rapid Look Ahead encoding, the VC9800 series IP improves video quality significantly with low memory footprint and encoding latency. With capable of supporting 8K encoding and decoding, it offers enhanced video post-processing and multi-channel encoding at various resolutions, thus achieves an efficient transcoding solution. The VC9800 series of VPU IP can seamlessly interface with Neural Network Processor (NPU) IP, enabling a complete AI-video pipeline. When combined with VeriSilicon’s Graphics Processor Unit (GPU) IP, the subsystem solution is able to deliver enhanced gaming experiences. In addition, the hardware virtualization, super resolution image enhancement, and AI-enabled encoding functions of this series IP also offer effective solutions for virtual cloud desktops. “VeriSilicon’s advanced video transcoding technology continues leading in Data Center domain. We are working closely with global leading customers to develop comprehensive video processing subsystem solutions to meet the requirements of the latest Data Centers,” said Wei-Jin Dai, Executive VP and GM of IP Division of VeriSilicon. “For AI computing, our video post-processing capabilities have been extended to smoothly interact with NPUs, ensuring OpenCV-level accuracy. We’ve also introduced super resolution technology to the video processing subsystem, elevating image quality and ultimately enhancing user experiences for cloud computing and smart display.” About VeriSilicon VeriSilicon is committed to providing customers with platform-based, all-around, one-stop custom silicon services and semiconductor IP licensing services leveraging its in-house semiconductor IP.

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Backup and Disaster Recovery

Minimize the Cost and Downtime of Disaster With Scale Computing's Business Continuity/Disaster Recovery Planning Service

PR Newswire | October 25, 2023

Scale Computing, a market leader in edge computing, virtualization, and hyperconverged solutions, today announced its Business Continuity/Disaster Recovery (BCDR) Planning Service, designed to help organizations establish a comprehensive, regulated plan for responding to unforeseen downtime. The service provides Scale Computing customers and partners with the tools, guidance, and resources to create a playbook for data backup and recovery, enabling businesses to endure a disaster scenario with minimal loss. Scale Computing also recently announced that it is a finalist for the Business Continuity/Disaster Recovery Project of the Year in the 2023 SDC Awards for its work with Austrian managed service provider GiGaNet and its long-time partner the Zillertaler Gletscherbahn group. Voting for the SDC Awards is open at sdcawards.com/vote until November 10th, 2023. Data breaches are one of the biggest and most costly contributors to downtime for businesses. In 2023, the average cost of a data breach globally reached an all-time high of $4.45 million, a 15.3% increase from 2020. Simultaneously, the average length of business disruption following a ransomware attack in the United States reached 24 days last year, up 60% from just two years prior — a significant increase when downtime costs exceed $300,000 per hour for over 90% of mid-sized and large enterprises. For more than half of those businesses, the hourly outage costs range from $1 million to over $5 million. Recovery from an outage adds additional expense from which many enterprises are unable to bounce back. "Disaster can strike at any time, and every organization needs a consistently regulated playbook for how the business will respond — from action plans to recovery plans for bringing online the mission-critical servers businesses depend on," said Jeff Ready, CEO and co-founder, Scale Computing. "Knowing what systems need to be protected, planning for the ability to recover them, and having a full action plan for recovery should be at the forefront of every IT department's agenda, at the beginning of any infrastructure addition. With Scale Computing Platform, the plan for disaster recovery starts before equipment is even put into production, so IT leaders have a plan in place from day one that they can enact to ensure their business stays up and running, with minimal loss, should disaster strike. Our Business Continuity/Disaster Recovery Planning Service enables businesses to proactively classify systems based on their importance and implement a robust action plan, ensuring that our customers' and partners' critical systems are protected, validated, tested, and ready for recovery at any time." Whether a minor data loss or a business-wide shutdown, having a well-defined business continuity strategy is crucial to minimize financial impact, ensure continuous employee productivity, meet compliance and regulatory requirements, decrease liability obligations, reduce downtime, and minimize the risk of negative exposure. Scale Computing's BCDR Planning Service includes planning, deployment, documentation creation, and disaster recovery testing, covering every aspect to keep businesses prepared and resilient. The service is offered to Scale Computing Platform customers, which brings simplicity, high availability, and scalability together to replace existing infrastructure for running virtual machines with an easy-to-manage, fully integrated platform that allows organizations to run applications regardless of hardware requirements. About Scale Computing Scale Computing is a leader in edge computing, virtualization, and hyperconverged solutions. Using patented HyperCore™ technology, Scale Computing Platform automatically identifies, mitigates, and corrects infrastructure problems in real-time, enabling applications to achieve maximum uptime, even when local IT resources and staff are scarce. Edge Computing is the fastest-growing area of IT infrastructure, and industry analysts have named Scale Computing an outperformer and leader in the space, including being named the #1 edge computing vendor by CRN. Scale Computing's products are sold by thousands of value-added resellers, integrators, and service providers worldwide.

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Server Virtualization, VMware

StorMagic Introduces Edge Control Software to Simplify SvSAN Monitoring and Management

Business Wire | October 18, 2023

StorMagic®, solving the world’s edge data problems, today announced the immediate availability of a new Software as a Service (SaaS) tool that allows users to easily monitor and manage all of their SvSAN clusters around the world. StorMagic Edge Control simplifies the process and tools required for day-to-day SvSAN cluster administration. SvSAN customers with multiple locations can significantly reduce the time spent managing their edge sites, whether they are using VMware, Microsoft or KVM hypervisors. “ESG research shows increasing demand for data storage at the edge which fuels an increased need for monitoring solutions that can help address the complexity of storage at the edge,” said Scott Sinclair, practice director at Enterprise Strategy Group. “SvSAN customers can greatly benefit by adding StorMagic Edge Control into their toolkits; the dashboard views and list formats will make centralized data management much easier and more accessible.” Edge Control delivers centralized administration for SvSAN environments of all sizes. Customers can now manage all SvSAN deployments in any location from a single pane of glass. Dashboard and system views provide a fast but comprehensive status of all of their virtual storage appliances (VSAs), allowing them to keep their environment up-to-date more easily and react faster as needed. “StorMagic customers of any size can now manage their entire SvSAN estate, whether it’s one site or thousands of sites around the world,” said Bruce Kornfeld, chief marketing and product officer, StorMagic. “Edge Control is particularly interesting for customers who are considering switching from VMware to Microsoft or Linux KVM because SvSAN and Edge Control are both hypervisor agnostic.” Pricing and Availability Edge Control version 1.0 is available today from StorMagic. SvSAN customers can download and begin using the software immediately, free of charge. About StorMagic StorMagic is solving the world’s edge data problems. We help organizations store, protect and use data at and from the edge. StorMagic’s solutions ensure data is always protected and available, no matter the type or location, to provide value anytime, anywhere. StorMagic’s storage and security products are flexible, robust, easy to use and cost-effective, without sacrificing enterprise-class features, for organizations with one to thousands of sites.

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Virtualized Environments

VeriSilicon Unveils the New VC9800 IP for Next Generation Data Centers

Business Wire | January 09, 2024

VeriSilicon today unveiled its latest VC9800 series Video Processor Unit (VPU) IP with enhanced video processing performance to strengthen its presence in the data center applications. The newly launched series IP caters to the advanced requirements of next generation data centers including video transcoding servers, AI servers, virtual cloud desktops, and cloud gaming. The VC9800 series of VPU IP boasts high performance, high throughput, and server-level multi-stream encoding and decoding capabilities. It can handle up to 256 streams and support all mainstream video formats, including the new advanced format VVC. Through Rapid Look Ahead encoding, the VC9800 series IP improves video quality significantly with low memory footprint and encoding latency. With capable of supporting 8K encoding and decoding, it offers enhanced video post-processing and multi-channel encoding at various resolutions, thus achieves an efficient transcoding solution. The VC9800 series of VPU IP can seamlessly interface with Neural Network Processor (NPU) IP, enabling a complete AI-video pipeline. When combined with VeriSilicon’s Graphics Processor Unit (GPU) IP, the subsystem solution is able to deliver enhanced gaming experiences. In addition, the hardware virtualization, super resolution image enhancement, and AI-enabled encoding functions of this series IP also offer effective solutions for virtual cloud desktops. “VeriSilicon’s advanced video transcoding technology continues leading in Data Center domain. We are working closely with global leading customers to develop comprehensive video processing subsystem solutions to meet the requirements of the latest Data Centers,” said Wei-Jin Dai, Executive VP and GM of IP Division of VeriSilicon. “For AI computing, our video post-processing capabilities have been extended to smoothly interact with NPUs, ensuring OpenCV-level accuracy. We’ve also introduced super resolution technology to the video processing subsystem, elevating image quality and ultimately enhancing user experiences for cloud computing and smart display.” About VeriSilicon VeriSilicon is committed to providing customers with platform-based, all-around, one-stop custom silicon services and semiconductor IP licensing services leveraging its in-house semiconductor IP.

Read More

Backup and Disaster Recovery

Minimize the Cost and Downtime of Disaster With Scale Computing's Business Continuity/Disaster Recovery Planning Service

PR Newswire | October 25, 2023

Scale Computing, a market leader in edge computing, virtualization, and hyperconverged solutions, today announced its Business Continuity/Disaster Recovery (BCDR) Planning Service, designed to help organizations establish a comprehensive, regulated plan for responding to unforeseen downtime. The service provides Scale Computing customers and partners with the tools, guidance, and resources to create a playbook for data backup and recovery, enabling businesses to endure a disaster scenario with minimal loss. Scale Computing also recently announced that it is a finalist for the Business Continuity/Disaster Recovery Project of the Year in the 2023 SDC Awards for its work with Austrian managed service provider GiGaNet and its long-time partner the Zillertaler Gletscherbahn group. Voting for the SDC Awards is open at sdcawards.com/vote until November 10th, 2023. Data breaches are one of the biggest and most costly contributors to downtime for businesses. In 2023, the average cost of a data breach globally reached an all-time high of $4.45 million, a 15.3% increase from 2020. Simultaneously, the average length of business disruption following a ransomware attack in the United States reached 24 days last year, up 60% from just two years prior — a significant increase when downtime costs exceed $300,000 per hour for over 90% of mid-sized and large enterprises. For more than half of those businesses, the hourly outage costs range from $1 million to over $5 million. Recovery from an outage adds additional expense from which many enterprises are unable to bounce back. "Disaster can strike at any time, and every organization needs a consistently regulated playbook for how the business will respond — from action plans to recovery plans for bringing online the mission-critical servers businesses depend on," said Jeff Ready, CEO and co-founder, Scale Computing. "Knowing what systems need to be protected, planning for the ability to recover them, and having a full action plan for recovery should be at the forefront of every IT department's agenda, at the beginning of any infrastructure addition. With Scale Computing Platform, the plan for disaster recovery starts before equipment is even put into production, so IT leaders have a plan in place from day one that they can enact to ensure their business stays up and running, with minimal loss, should disaster strike. Our Business Continuity/Disaster Recovery Planning Service enables businesses to proactively classify systems based on their importance and implement a robust action plan, ensuring that our customers' and partners' critical systems are protected, validated, tested, and ready for recovery at any time." Whether a minor data loss or a business-wide shutdown, having a well-defined business continuity strategy is crucial to minimize financial impact, ensure continuous employee productivity, meet compliance and regulatory requirements, decrease liability obligations, reduce downtime, and minimize the risk of negative exposure. Scale Computing's BCDR Planning Service includes planning, deployment, documentation creation, and disaster recovery testing, covering every aspect to keep businesses prepared and resilient. The service is offered to Scale Computing Platform customers, which brings simplicity, high availability, and scalability together to replace existing infrastructure for running virtual machines with an easy-to-manage, fully integrated platform that allows organizations to run applications regardless of hardware requirements. About Scale Computing Scale Computing is a leader in edge computing, virtualization, and hyperconverged solutions. Using patented HyperCore™ technology, Scale Computing Platform automatically identifies, mitigates, and corrects infrastructure problems in real-time, enabling applications to achieve maximum uptime, even when local IT resources and staff are scarce. Edge Computing is the fastest-growing area of IT infrastructure, and industry analysts have named Scale Computing an outperformer and leader in the space, including being named the #1 edge computing vendor by CRN. Scale Computing's products are sold by thousands of value-added resellers, integrators, and service providers worldwide.

Read More

Server Virtualization, VMware

StorMagic Introduces Edge Control Software to Simplify SvSAN Monitoring and Management

Business Wire | October 18, 2023

StorMagic®, solving the world’s edge data problems, today announced the immediate availability of a new Software as a Service (SaaS) tool that allows users to easily monitor and manage all of their SvSAN clusters around the world. StorMagic Edge Control simplifies the process and tools required for day-to-day SvSAN cluster administration. SvSAN customers with multiple locations can significantly reduce the time spent managing their edge sites, whether they are using VMware, Microsoft or KVM hypervisors. “ESG research shows increasing demand for data storage at the edge which fuels an increased need for monitoring solutions that can help address the complexity of storage at the edge,” said Scott Sinclair, practice director at Enterprise Strategy Group. “SvSAN customers can greatly benefit by adding StorMagic Edge Control into their toolkits; the dashboard views and list formats will make centralized data management much easier and more accessible.” Edge Control delivers centralized administration for SvSAN environments of all sizes. Customers can now manage all SvSAN deployments in any location from a single pane of glass. Dashboard and system views provide a fast but comprehensive status of all of their virtual storage appliances (VSAs), allowing them to keep their environment up-to-date more easily and react faster as needed. “StorMagic customers of any size can now manage their entire SvSAN estate, whether it’s one site or thousands of sites around the world,” said Bruce Kornfeld, chief marketing and product officer, StorMagic. “Edge Control is particularly interesting for customers who are considering switching from VMware to Microsoft or Linux KVM because SvSAN and Edge Control are both hypervisor agnostic.” Pricing and Availability Edge Control version 1.0 is available today from StorMagic. SvSAN customers can download and begin using the software immediately, free of charge. About StorMagic StorMagic is solving the world’s edge data problems. We help organizations store, protect and use data at and from the edge. StorMagic’s solutions ensure data is always protected and available, no matter the type or location, to provide value anytime, anywhere. StorMagic’s storage and security products are flexible, robust, easy to use and cost-effective, without sacrificing enterprise-class features, for organizations with one to thousands of sites.

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