Data center rack & enclosure market to derive significant momentum

In the data center rack & enclosure market, hardware solutions accounted for the majority of the industry share. The need for heat and cable management in mega or hyperscale facilities is increasing the demand for effective and efficient cooling systems that require innovative solutions, which will account for the proper airflow management. Corridors in these racks provide a mix of hot and cold air, which secure it from short circuits. The solution to this problem is providing doors, blank panels, thermal seals, and plinth that allow the proper flow of cold air in the systems and equipment. Technological advancements and the increasing adoption of IoT for various industrial processes are supporting growth of the data center rack & enclosure market. Rapid growth in cloud-based solutions, virtualization, enhanced data processing capabilities, high-performance computing solutions, and the requirement to expand the existing infrastructure are the key factors generating a high demand for the facilities.

Spotlight

Expedient

Expedient is a cloud and data center infrastructure as a service (IaaS) provider with local operations in Pittsburgh, PA, Baltimore, MD, Boston, MA, Cleveland, OH, Columbus, OH, Denver, CO, Indianapolis, IN, Memphis, TN, Milwaukee, WI, and Phoenix, AZ. Ranked as one of the Top 3 managed services providers worldwide on Channel Futures'​ MSP 501 list, Expedient’s converged solutions enable clients to focus on strategic business innovation, while the Expedient team handles operation of the information technology needed to support it.

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Virtual Desktop Strategies

VMware NSX 3.2 Delivers New, Advanced Security Capabilities

Article | July 26, 2022

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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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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VMware, Vsphere, Hyper-V

Virtualization Can Help Substantially Reduce Computing Costs

Article | May 2, 2023

Businesses use a lot of technology to keep themselves competitive and Businesses use a lot of technology to keep themselves competitive and operationally efficient. One way that organizations use to make their technology infrastructure more accessible is through the use of virtualization. Let’s discuss what virtualization is, how it benefits businesses, and some examples of how you might consider leveraging virtualization to your company’s benefit. Virtualization for Hardware and Software Virtualization in its most basic sense is taking something and making it virtual. In regards to hardware and software, it involves taking these parts of your technology infrastructure and making them available in a virtual environment. Virtual applications and hardware solutions can be deployed to the cloud so that they can be accessed by any online device. Some examples of virtualization might include creating virtual machines, like workstations and server units, that are hosted in a virtual environment for as-needed access

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Virtual Desktop Strategies

Addressing Multi-Cloud Complexity with VMware Tanzu

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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Spotlight

Expedient

Expedient is a cloud and data center infrastructure as a service (IaaS) provider with local operations in Pittsburgh, PA, Baltimore, MD, Boston, MA, Cleveland, OH, Columbus, OH, Denver, CO, Indianapolis, IN, Memphis, TN, Milwaukee, WI, and Phoenix, AZ. Ranked as one of the Top 3 managed services providers worldwide on Channel Futures'​ MSP 501 list, Expedient’s converged solutions enable clients to focus on strategic business innovation, while the Expedient team handles operation of the information technology needed to support it.

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siliconangle.com | July 08, 2019

There is a GDPR framework,Venkatraman explained. You start by classifying data. Then you apply specific policies to ensure you protect and back up the personal data. And then you go about meeting the specific requirements.GDPR has changed the data game, putting security and privacy on the front page, as well as on the boardroom agenda. IDC research has shown that data protection is a key influencer in IT investment decisions, with companies asking, How do I become data driven without compromising on security and sovereignty and data locality? Venkatraman stated. Actifios copy data virtualization can help companies achieve that goal, giving them the potential for a successful future, according to Venkatraman. Companies are moving from protecting data centers to protecting centers of data,Venkatraman predicted. If Actifio can help organizations protect multiple centers of data through a unified pane of glass and have that platform approach to data management, then they can help organizations become data thrivers, which gives them the competitive advantage.

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worldanalytics24.com | July 08, 2019

The report provides an overview of the IP Multimedia Subsystem (IMS) Services Market industry including definitions, division, key vendors, key Development and market challenges. The IP Multimedia Subsystem (IMS) Services Market analysis is provided the international markets including development trends, competitive landscape analysis, and key regions development statusThrough the statistical analysis, the report depicts the global IP Multimedia Subsystem (IMS) Services Market including capacity, production, production value, cost/profit, supply/demand and import/export. The entire market is further distributed by company, by country, and by application/type for the competitive landscape analysis. However, security concerns in virtualization, lack of availability of a skilled workforce, may hamper the growth of the market, but for a specific period.

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Datacentre Network Architecture Sales Forecasts Reveal Positive Growth Through 2026

gemnewz | July 08, 2019

This detailed presentation on Datacentre Network Architecture market accumulated by Persistence Market Research features an exhaustive study conveying influential trends prevailing in the global business sphere. The report also presents significant details concerning market size, market share and profit estimations to offer an ensemble prediction about this business. Moreover, this report undertakes an accurate competitive analysis emphasizing growth strategies espoused by market leaders.The increase in data volume, need of storage, backup, archive and also the requirement data management create complexity in datacentres. These complexities are resolved through appropriate network architecture across the datacentres. The datacentre network architecture minimize the impact of disaster scenarios and it also provides tools for data recovery. Most of the enterprises consider the datacentre network architecture is an important element of organization strategy for regulatory compliance and protection and management of company and customer data.Emergence of software defined networking (SDN), network overlay technologies, network virtualization (NV), and efficient systems have been forcing many companies to move towards next generation datacentre networks. These emerging technologies will support software-defined data centre (SDDC) and also help to virtualize the network across all the datacentre It has been observed that most of the VMware customers are moving towards network virtualization to transform their datacentre from the client/server era to the mobile/cloud era.

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siliconangle.com | July 08, 2019

There is a GDPR framework,Venkatraman explained. You start by classifying data. Then you apply specific policies to ensure you protect and back up the personal data. And then you go about meeting the specific requirements.GDPR has changed the data game, putting security and privacy on the front page, as well as on the boardroom agenda. IDC research has shown that data protection is a key influencer in IT investment decisions, with companies asking, How do I become data driven without compromising on security and sovereignty and data locality? Venkatraman stated. Actifios copy data virtualization can help companies achieve that goal, giving them the potential for a successful future, according to Venkatraman. Companies are moving from protecting data centers to protecting centers of data,Venkatraman predicted. If Actifio can help organizations protect multiple centers of data through a unified pane of glass and have that platform approach to data management, then they can help organizations become data thrivers, which gives them the competitive advantage.

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