Application Infrastructure, Application Storage
Article | July 19, 2023
Unveil the Hyperconverged Infrastructure adoption strategies, build an effective HCI implementation plan and align them with businesses of all sizes. Know leading companies for HCI adoption.
Contents
1. Introduction to HCI in B2B Markets
2. Evaluating HCI Readiness for B2B Organizations
2.1. Identifying Business Use Cases for HCI Implementation
2.2. Hyper-Converged Management and Orchestration
3. Building an Effective HCI Implementation Plan
3.1. Implementation of Managed Service Providers
4. Aligning HCI Strategy with Business Objectives
4.1. Integration and Compatibility with Existing Systems
4.2. HCI and Cloud Integration: Hybrid and Multi-Cloud for HCI
5. Top HCI Companies to Improve Cloud Management & Data Security Solutions
5.1. Virtual Tech Gurus
5.2. CTC Global
5.3. Winslow Technology Group
5.4. Internetwork Engineering
5.5. Eastern Computer Exchange
6. Maximizing Business Value through HCI in B2B Markets
1. Introduction to HCI in B2B Markets
HCI, a software-defined solution that organizes and abstracts networking, CPU, memory, and storage devices as resource pools, utilizing commodity x86-based hardware and virtualization software, enables the administrator to combine and provision these resources as virtual machines and independent storage resources such as network-attached storage (NAS) filers and object stores. Organizations face numerous infrastructure difficulties. They frequently receive urgent demands from the business to keep their organization agile and proactive while implementing new digital transformation initiatives. For many organizations, a cloud-only IT strategy is not a viable option; as a result, there is a growing interest in hybrid scenarios that offer the best of both realms.
Hyperconvergence makes administration much easier, enabling management of all aspects of infrastructure from one place while reducing complexity by removing compatibility problems between multiple vendors. AllHyperconvergedInfrastructure offerings serve as the foundation for on-premises infrastructure-as-a-service (IaaS) by unifying and integrating computing and storage as fundamental HCI technology infrastructure services.
The global Hyper-Converged Infrastructure market size was valued at USD 4805.24 million in 2022 and is expected to expand at a CAGR of 26.53% during the forecast period, reaching USD 19719.08 million by 2028.
2. Evaluating HCI Readiness for B2B Organizations
2.1. Identifying Business Use Cases for HCI Implementation
Software-Defined Data Center: Businesses face challenges due to surging market costs, increased competition, and the need for improved business agility. Scaling data centers and managing the addition of new resources pose a concern for an efficient workforce and time consumption. HCI is a key component of the Software-Defined Data Center (SDDC) strategy for centralizing business operations. SDDC abstracts hardware resources, enables policy-driven automation for resource allocation, and manages data resulting in an agile, pooled, automated data center environment.
High-Performance Computing: As technologies such as the Internet of Things, artificial intelligence, and three-dimensional imaging advance, the size and quantity of data that organizations must manage grow exponentially. Here, High-Performance Computing (HPC) comes into play, which employs clusters of powerful processors operating in parallel to process massive multidimensional datasets (big data) and solve intricate complexities at extremely high rates. It is fueled not only by rising demands but also by the prevalence of RDMA networking with reduced latency and higher throughput, as well as the widespread availability of public and private cloud HPCaaS.
Software-Defined Networking Integration: Business requirements require quick responses from enterprises and service providers to improve network control. Like storage, software-defined networking (SDN) virtualizes networking functions within a hyperconverged infrastructure. It creates a centrally managed and programmable network by separating network forwarding functions from network control functions. It allows for the centralized administration of networking devices and facilitates the automation of network devices and evaluating HCI solutions for business-specific needs.
2.2. Hyper-Converged Management and Orchestration
A modern hyper converged data center supports growing workloads while keeping a check on capital and operating expenses. This paves the way for a simplified transition to a hybrid cloud that allows for scalable performance, streamlined administration, and enhanced orchestration.
It delivers rapid deployment, orchestration, management, and monitoring of containerized environments, allowing focus on running businesses instead of infrastructure. This functionality enables IT departments to find a middle ground between empowering developers to choose their own containerized infrastructure and meeting the demands of service-level agreements in terms of reliability and availability.
The secure integration and smarter work are done through the use of open, extensible features that interface seamlessly with third-party platforms and applications to automate lifecycle operations and enable consistency and governance. It allows teams to intelligently visualize, optimize, and orchestrate the entire infrastructure and set of apps.
3. Building an Effective HCI Implementation Plan
3.1. Implementation of Managed Service Providers
Typically, the implementation ofmanaged service providers(MSPs) takes about 90-120 days, depending on the readiness of the organizations.
Meet the core subject matter experts in procurement to perform an organizational analysis and assessment.
Document current-state processes and policies helping identify the ROI for organizations.
Conduct an in-depth organizational assessment to capture operational and cultural requirements, adjusting the core implementation methodology.
Perform testing, configuration, and system design.
Carry out build & unit testing and user acceptance testing.
4. Aligning HCI Strategy with Business Objectives
4.1. Integration and Compatibility with Existing Systems
Business applications and specific technologies, including third-party services and service-level contracts, require HCI. Businesses use cloud-based ERP and CRM applications. Before choosing an HCI solution, decision-makers should consider if the hyperconverged infrastructure supports business application back-end systems. Containers and other workload-supporting technologies are equally significant. Multiple cloud services power businesses. Even if they run their cloud systems, they may use third-party disaster recovery or identity and access management (IAM) services. Decision-makers must ensure that the chosen HCI can integrate with these other services without extra steps.
4.2. HCI and Cloud Integration: Hybrid and Multi-Cloud for Hyperconverged Infrastructure
According toNutanix, 91% of IT decision-makers who consider hybrid cloud the ideal IT model for organizations.
Hybrid cloud is prevalent for comparable reasons. This architecture provides a comprehensive range of public and private cloud-based computing, storage, and services. Many organizations are discovering that integrating these technology trends can yield substantial benefits. By implementing HCI for their hybrid clouds, businesses are better equipped to address a variety of IT challenges, such as distributed workforces resulting in distributed data. As businesses increasingly adopt multi-cloud strategies, utilizing multiple public cloud services with private cloud or on-premises infrastructure becomes increasingly crucial. HCI simplifies multi-cloud management by reducing the difficulty of tracking resources, managing security, and optimizing performance across various cloud environments.
To assure compatibility between the HCI platform and different cloud services, network connectivity and data transit speeds management is required, which affects the performance and efficacy of a multi-cloud configuration. Hyperconverged infrastructure and cloud computing complement one another to provide a flexible, efficient, and scalable IT infrastructure that can adapt to the ever-changing requirements of businesses. Educating employees about hyperconverged technology, throughHCI certifications and courses,will empower them with the knowledge and skills needed to effectively deploy, manage, and optimize hyperconverged infrastructure, leading to enhanced operational efficiency, streamlined IT management, and the ability to harness the full potential. By comprehending the relationship between HCI and cloud computing, businesses make more informed IT strategy decisions and capitalize on the benefits of both approaches.
5. Top HCI Companies to Improve Cloud Management & Data Security Solutions
5.1. Virtual Tech Gurus
Virtual Tech Gurus (VTG), specializes in delivering Hybrid Solutions that seamlessly integrate the advantages of hyperconverged data center and public cloud technologies. It offers various insights, from data center inventory and discovery to user access auditing, cyber and business resiliency assessments, chargeback insights, capacity reporting, and cyber-configuration auditing. Its Cyber-Resolutions services are designed to encompass prevention auditing, response services related to user risks, cyber resiliency assessments, monitoring, and comprehensive incident response. This offers flexible, cost-effective services that translate into tangible business value for customers. VTG bolsters business performance in critical growth-oriented areas by providing consulting and project services across cloud services, data center migration, cloud migration, infrastructure assessment, and staffing. By elevating infrastructure performance, VTG achieves the twin goals of cost reduction and heightened availability, ultimately facilitating the swifter deployment of new services.
5.2. CTC Global
CTC Global, a prominent conglomerate, is a pivotal player in the HCI technology landscape. In the current era, enterprises embrace the choice of on-premise cloud networking resources to construct private cloud networks or opt for cloud-based networking resources for hybrid clouds. These cloud networking resources encompass virtual routers, virtual firewalls, HCI network monitoring, and management software, among other tools and functions readily accessible as needed. Its services include orchestrating a targeted response to cyberattacks to curtail their impact on business operations, Establishing an efficient third-party governance program to safeguard against ecosystem-related risks that could undermine business performance, Addressing the intricate digital risk management challenges a dynamic, distributed, and diverse workforce poses, equipping businesses with the knowledge to embed resilience into their day-to-day operations ensures smooth adaptation to the increasingly digital sphere.
5.3. Winslow Technology Group
Winslow Technology Group (WTG), a prominent leader in IT solutions offers managed services and cybersecurity services since 2003, consistently delivering exceptional business outcomes to its customers. WTG is committed to facilitating innovation and transformation for its clients' businesses by harnessing the advantages of data center solutions, digital workspace solutions, networking, and cloud infrastructure solutions. WTG serves a broad spectrum of clients, from medium-sized enterprises to Fortune 50 corporations, across diverse market segments, including the public sector, finance, healthcare, insurance, education, manufacturing, and technology. Data center advantages include reduced downtime enhanced security increased efficiency, optimized performance, automation of data centers and downtime & security management.
5.4. Internetwork Engineering
Internetwork Engineering (IE) fosters meaningful interactions by connecting individuals to its customers, colleagues, suppliers, patients, citizens, and students. IE is a strategic solution provider catering to mid-market and enterprise clients. Its comprehensive services span consulting, implementation, and operational services, enveloping four validated architectures: collaboration, data centers, intelligent networks, and security. Advancing data protection strategy in the modern landscape encompasses more than mere security and recovery, it extends to data availability, access privileges, and data center considerations. Data protection figures prominently in evaluating storage, backup solutions, network design, and security controls. IE addresses this essential facet with various solutions to ensure seamless business operations such as meeting backup and recovery goals, navigating data center breaches, cyber-attacks, and DDoS attacks, facilitating data replication to remote or cloud data centers, and more.
5.5. Eastern Computer Exchange
Eastern Computer Exchange (ECEI), a technology company, boasts an impressive legacy of three decades in the industry. ECEI offers holistic technology solutions, encompassing migrations, consolidations, cloud integrations, and global desktop rollouts. ECEI's specialty solutions encompass a broad spectrum, including private/public/hybrid cloud strategy and implementation, operations managed services, cloud management platform implementation, DevOps strategies with container management and orchestration solutions, hyper-converged infrastructure solutions, and end-user compute modernization solutions. The crucial interplay between network and security is the foundation of ECEI's offerings. Recognizing the inadequacy of traditional detection and blocking defenses, ECEI aligns with the zero trust network architecture (ZTNA) trend, offering valuable expertise for evaluating and orchestrating the migration to ZTNA.
6. Maximizing Business Value through HCI in B2B Markets
Hyper-converged infrastructure has emerged as a potent solution that holds the potential to enhance business value. It brings inherent data protection and disaster recovery features, assuring business continuity and upholding the critical trust of B2B partners. Security and compliance are prioritized through integrated measures that safeguard data integrity and adhere to industry regulations. This technology also empowers business agility. Swift deployment and flexibility enable rapid responses to market shifts, thereby boosting hyperconverged market sizes, ensuring B2B enterprises seize emerging opportunities and adapt to evolving customer preferences. By optimizing operations, hyperconverged infrastructure frees up resources that can be allocated to a customer-centric focus, nurturing stronger and more responsive client relationships.
As we peer into the future, the trajectory of HCI's influence reveals promising trends and a wide-ranging scope poised to redefine how businesses extract value within B2B environments. One of the prominent trends on the horizon is the deepening integration of HCI architectures into diverse business ecosystems. Furthermore, the burgeoning scope of HCI extends beyond conventional data center management. The forthcoming years are anticipated to witness an increased convergence of HCI with cloud technologies, resulting in a hybridized infrastructure model. Moreover, the integration of HCI aligns harmoniously with the ascent of Industry 4.0 and the Internet of Things. The seamless connectivity and resource optimization offered by HCI are poised to drive transformative shifts in industrial automation, supply chain management, and predictive maintenance, ultimately nurturing enhanced productivity and innovation within B2B sectors.
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Hyper-Converged Infrastructure, Application Infrastructure
Article | July 19, 2023
Consider IaaS (infrastructure as a service) as a virtual version of your traditional data center. IaaS is a branch of cloud computing technology that offers virtualized storage, server, and networking wrapped together as a self-service platform. It is highly cost-efficient and makes up for easier, faster workloads. Although incredibly convenient for business, it largely depends on what your company needs to use it for.
What is IaaS, and How Can It Benefit Your Business?
IaaS first rose to popularity in the early 2010s. Since then, it has become the standard abstraction model for many types of workloads. But with the rise of the microservices application pattern and the arrival of new technologies like containers and serverless IaaS is still a foundational service, but the field is more crowded than ever.
The most common household cloud computing names—AWS (Amazon Web Services), Google Cloud and Microsoft Azure— are all IaaS providers. They all maintain giant data centers around the globe. It includes tons of storage systems, physical servers, and networking equipment under a virtualization layer. Cloud customers access these resources to deploy and run applications in a highly automated manner.
Developing a cloud adoption strategy is a vital step forward for modern-day business. And this subscription-based cloud computing service, IaaS, offers a remote management solution and reduces your purchase cost at the same time.
Additionally, IaaS also provides key solutions vital for any company’s future plans, such as big-data analysis. It allows businesses like yours to analyze massive data sets and see future trends, patterns, and associations that a human wouldn’t.
Understanding the IaaS Architecture
In an IaaS service model, your cloud provider will take over your infrastructure components, such as traditional on-premises data centers and host them on the internet. This includes virtual computing, servers, networking hardware, and infrastructure components, as well as the hypervisor layer.
IaaS service providers will also provide a wide array of services to accompany those infrastructure components.
Monitoring
Detailed billing
Security
Log access
Load balancing
Clustering
Storage resiliency
Backup
Replication
Disaster Recovery
IaaS services are automated and highly policy-driven, so you can implement all your infrastructure tasks effortlessly.
How Does It Work?
IaaS customers access their resources through a WAN (wide area network). Leveraging the cloud provider's services, they will install the remaining elements of an application stack.
For example, you can log in to the IaaS platform to create VMs (virtual machines), install operating systems on each VM, deploy middleware like databases, create storage buckets for workloads and backups, and install the enterprise workload on that VM. Afterward, you can also use the IaaS provider's services to track costs, balance network traffic, monitor performance, troubleshoot application-related issues and manage disaster recovery.
IaaS Use Cases
As IaaS provides general-purpose computing resources, it can be used for any kind of use case. IaaS is most often used today for the development and testing environments, websites, and web apps that interact with customers, data storage, analytics, and data warehousing workloads. Plus, it also offers backup and disaster recovery services, especially for on-premises workloads. IaaS is also a good way to set up and run common business software and apps like SAP.
Real-life Examples
GE Healthcare: Reputed medical imaging facility GE Healthcare adopted Amazon EC2 from AWS to design the GE Health Cloud. GE Health Cloud platform successfully empowered its consumers by collecting, storing, accessing, and processing information worldwide from different types of medical devices to obtain value from data.
Coca-Cola: The beverage giant Coca-Cola collaborated with SoftLayer adopting a pay-as-you-go architecture to manage their CRM system effectively during peak seasons.
Final Thoughts
Before choosing a provider, you will need to think carefully about the services, reliability, and costs. First, you should thoroughly assess the capabilities of your organization’s IT department and determine how well equipped it is to deal with the ongoing demands of IaaS implementation. Accordingly, you will be prepared to choose an alternative provider and move to the alternative infrastructure if you need to.
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Hyper-Converged Infrastructure
Article | October 3, 2023
The rollout of 5G networks coupled with edge compute introduces new security concerns for both the network and the enterprise. Security at the edge presents a unique set of security challenges that differ from those faced by traditional data centers. Today new concerns emerge from the combination of distributed architectures and a disaggregated network, creating new challenges for service providers.
Many mission critical applications enabled by 5G connectivity, such as smart factories, are better off hosted at the edge because it's more economical and delivers better Quality of Service (QoS). However, applications must also be secured; communication service providers need to ensure that applications operate in an environment that is both safe and provides isolation. This means that secure designs and protocols are in place to pre-empt threats, avoid incidents and minimize response time when incidents do occur.
As enterprises adopt private 5G networks to drive their Industry 4.0 strategies, these new enterprise 5G trends demand a new approach to security. Companies must find ways to reduce their exposure to cyberattacks that could potentially disrupt mission critical services, compromise industrial assets and threaten the safety of their workforce. Cybersecurity readiness is essential to ensure private network investments are not devalued.
The 5G network architecture, particularly at the edge, introduces new levels of service decomposition now evolving beyond the virtual machine and into the space of orchestrated containers. Such disaggregation requires the operation of a layered technology stack, from the physical infrastructure to resource abstraction, container enablement and orchestration, all of which present attack surfaces which require addressing from a security perspective. So how can CSPs protect their network and services from complex and rapidly growing threats?
Addressing vulnerability points of the network layer by layer
As networks grow and the number of connected nodes at the edge multiply, so do the vulnerability points. The distributed nature of the 5G edge increases vulnerability threats, just by having network infrastructure scattered across tens of thousands of sites. The arrival of the Internet of Things (IoT) further complicates the picture: with a greater number of connected and mobile devices, potentially creating new network bridging connection points, questions around network security have become more relevant.
As the integrity of the physical site cannot be guaranteed in the same way as a supervised data center, additional security measures need to be taken to protect the infrastructure. Transport and application control layers also need to be secured, to enable forms of "isolation" preventing a breach from propagating to other layers and components. Each layer requires specific security measures to ensure overall network security: use of Trusted Platform Modules (TPM) chipsets on motherboards, UEFI Secure OS boot process, secure connections in the control plane and more. These measures all contribute to and are integral part of an end-to-end network security design and strategy.
Open RAN for a more secure solution
The latest developments in open RAN and the collaborative standards-setting process related to open interfaces and supply chain diversification are enhancing the security of 5G networks. This is happening for two reasons. First, traditional networks are built using vendor proprietary technology – a limited number of vendors dominate the telco equipment market and create vendor lock-in for service providers that forces them to also rely on vendors' proprietary security solutions. This in turn prevents the adoption of "best-of-breed" solutions and slows innovation and speed of response, potentially amplifying the impact of a security breach.
Second, open RAN standardization initiatives employ a set of open-source standards-based components. This has a positive effect on security as the design embedded in components is openly visible and understood; vendors can then contribute to such open-source projects where tighter security requirements need to be addressed.
Aside from the inherent security of the open-source components, open RAN defines a number of open interfaces which can be individually assessed in their security aspects. The openness intrinsically present in open RAN means that service components can be seamlessly upgraded or swapped to facilitate the introduction of more stringent security characteristics, or they can simultaneously swiftly address identified vulnerabilities.
Securing network components with AI
Monitoring the status of myriad network components, particularly spotting a security attack taking place among a multitude of cooperating application functions, requires resources that transcend the capabilities of a finite team of human operators. This is where advances in AI technology can help to augment the abilities of operations teams. AI massively scales the ability to monitor any number of KPIs, learn their characteristic behavior and identify anomalies – this makes it the ideal companion in the secure operation of the 5G edge. The self-learning aspect of AI supports not just the identification of known incident patterns but also the ability to learn about new, unknown and unanticipated threats.
Security by design
Security needs to be integral to the design of the network architecture and its services. The adoption of open standards caters to the definition of security best practices in both the design and operation of the new 5G network edge. The analytics capabilities embedded in edge hyperconverged infrastructure components provide the platform on which to build an effective monitoring and troubleshooting toolkit, ensuring the secure operation of the intelligent edge.
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