Hyper-Converged Infrastructure
Article | October 3, 2023
Building trust through HCI by unveiling strategies to ensure the long-term reliability of technology partnerships, cementing lasting collaborations in a dynamic business landscape through vendor stability.
Contents
1. Introduction
2. How HCI Overcomes Infrastructural Challenges
3. Evaluation Criteria for Enterprise HCI
3.1. Distributed Storage Layer
3.2. Data Security
3.3. Data Reduction
4. Assessing Vendor Stability: Ensuring Long-Term Reliability of Partners
4.1. Vendor Track Record
4.2. Financial Stability
4.3. Customer Base and References
4.4. Product Roadmap and Innovation
4.5. Support and Maintenance
4.6. Partnerships and Ecosystem
4.7. Industry Recognition and Analyst Reports
4.8. Contracts and SLAs
5. Final Takeaway
1. Introduction
When collaborating with a vendor, it is essential to evaluate their financial stability. This ensures that they are able to fulfil their obligations and deliver the promised services or goods. Prior to making contractual commitments, it is necessary to conduct due diligence to determine a vendor's financial health. This article examines when a vendor's financial viability must be evaluated, why to do so, and how vendor and contract management software can assist businesses.
IT organizations of all sizes face numerous infrastructure difficulties. On one hand, they frequently receive urgent demands from the business to keep their organization agile and proactive while implementing new digital transformation initiatives. They also struggle to keep their budget under control, provide new resources swiftly, and manage the increasing complexity while maintaining a reasonable level of efficiency. 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. By combining cloud and traditional IT infrastructures, there is a real danger of creating silos, going in the incorrect direction, and further complicating the overall infrastructure, thereby introducing inefficiencies.
2. How HCI Overcomes Infrastructural Challenges
Hyper-converged infrastructures (HCI) surpass conventional infrastructures in terms of simplicity and adaptability. HCI enables organizations to conceal the complexity of their IT infrastructure while reaping the benefits of a cloud-like environment. HCI simplifies operations and facilitates the migration of on-premises data and applications to the cloud. HCI is a software-defined solution that abstracts and organizes CPU, memory, networking, and storage devices as resource pools, typically utilizing commodity x86-based hardware and virtualization software. It enables the administrator to rapidly combine and provision these resources as virtual machines and, more recently, as independent storage resources such as network-attached storage (NAS) filers and object stores. Management operations are also simplified, allowing for an increase in infrastructure productivity while reducing the number of operators and system administrators per virtual machine managed.
HCI market and itssolutions can be categorized into three groups:
Enterprise Solutions
They have an extensive feature set, high scalability, core-to-cloud integrations, and tools that extend beyond traditional virtualization platform management and up the application stack.
Small/Medium Enterprise Solutions
Comparable to the previous category, but simplified and more affordable. The emphasis remains on simplifying the IT infrastructure for virtualized environments, with limited core-to-cloud integrations and a limited ecosystem of solutions.
Vertical Solutions
Designed for particular use cases or vertical markets, they are highly competitive in edge-cloud or edge-core deployments, but typically have a limited ecosystem of solutions. These solutions incorporate open-source hypervisors, such as KVM, to provide end-to-end support at lower costs. They are typically not very scalable, but they are efficient from a resource consumption standpoint.
3. Evaluation Criteria for Enterprise HCI
3.1 Distributed Storage Layer
The distributed storage layer provides primary data storage service for virtual machines and is a crucial component of every HCI solution. Depending on the exposed protocol, they are typically presented as a virtual network-attached storage (NAS) or storage area network (SAN) and contain all of the data.
There are three distributed storage layer approaches for HCI:
Virtual storage appliance (VSA): A virtual machine administered by the same hypervisor as the other virtual machines in the node. A VSA is more flexible and can typically support multiple hypervisors, but this method may result in increased latency.
Integrated within the hypervisor or the Operating System (OS): The storage layer is an extension of the hypervisor and does not require the preceding approach's components (VM and guest OS). The tight integration boosts overall performance, enhances workload telemetry, and fully exploits hypervisor characteristics, but the storage layer is not portable.
Specialized storage nodes: The distributed storage layer is comprised of specialized nodes in order to achieve optimal performance consistency and scalability for both internal and external storage consumption. This strategy, which is typically more expensive than the alternatives for lesser configurations, is utilized.
3.2 Data Security
Currently, all vendors offer sophisticated data protection against multiple failures, such as full node, single, and multiple-component issues. Distributed erasure coding safeguards information by balancing performance and data footprint efficiency. This equilibrium is made possible by modern CPUs with sophisticated instruction sets, new hardware such as NVMe and storage-class memory (SCM) devices, and data path optimizations.
In addition, the evolution of storage technologies has played a pivotal role in enhancing data protection strategies. The introduction of high-capacity SSDs (Solid-State Drives) and advancements in storage virtualization have further strengthened the ability to withstand failures and ensure uninterrupted data availability. These technological innovations, combined with the relentless pursuit of redundancy and fault tolerance, have elevated the resilience of modern data storage systems.
Furthermore, for data protection and security, compliance with rules, regulations, and laws is paramount. Governments and regulatory bodies across the globe have established stringent frameworks to safeguard sensitive information and ensure privacy. Adherence to laws such as the General Data Protection Regulation (GDPR) in Europe, the Health Insurance Portability and Accountability Act (HIPAA) in the United States, and various industry-specific regulations is non-negotiable. Organizations must fortify their data against technical vulnerabilities and align their practices with legal requirements to prevent costly fines, legal repercussions, and reputational damage.
3.3 Data Reduction
Optimization of the data footprint is a crucial aspect of hyper-converged infrastructures. Deduplication, compression, and other techniques, such as thin provisioning, can significantly improve capacity utilization in virtualized environments, particularly for Virtual desktop infrastructure (VDI) use cases. Moreover, in order to optimize rack space utilization and achieve server balance, the number of storage devices that can be deployed on a single HCI node is restricted.
4. Assessing Vendor Stability: Ensuring Long-Term Reliability of Partners
Here are some key factors that contribute to ensuring long-term reliability:
4.1 Vendor Track Record
Assessing the vendor's track record and reputation in the industry is crucial. Look for established vendors with a history of delivering reliable products and services. A vendor that has been operating in the market for a significant period of time and has a strong customer base indicates stability.
4.2 Financial Stability
Consider factors such as the vendor's profitability, revenue growth, and ability to invest in research and development. Financial stability ensures the vendor's ability to support their products and services over the long term.
4.3 Customer Base and References
Look at the size and diversity of the vendor's customer base. A large and satisfied customer base indicates that the vendor's solutions have been adopted successfully by organizations. Request references from existing customers to get insights into their experience with the vendor's stability and support.
4.4 Product Roadmap and Innovation
Assess the vendor's product roadmap and commitment to ongoing innovation. A vendor that actively invests in research and development, regularly updates their products, and introduces new features and enhancements demonstrates a long-term commitment to their solution's reliability and advancement.
4.5 Support and Maintenance
Evaluate the vendor's support and maintenance services. Look for comprehensive support offerings, including timely bug fixes, security patches, and firmware updates. Understand the vendor's service-level agreements (SLAs), response times, and availability of technical support to ensure they can address any issues that may arise.
4.6 Partnerships and Ecosystem
Consider the vendor's partnerships and ecosystem. A strong network of partners, including technology alliances and integrations with other industry-leading vendors, can contribute to long-term reliability. Partnerships demonstrate collaboration, interoperability, and a wider ecosystem that enhances the vendor's solution.
4.7 Industry Recognition and Analyst Reports
Assess the vendor's industry recognition and performance in analyst reports. Look for accolades, awards, and positive evaluations from reputable industry analysts. These assessments provide independent validation of the vendor's stability and the reliability of their HCI solution.
4.8 Contracts and SLAs
Review the vendor's contracts, service-level agreements, and warranties carefully. Ensure they provide appropriate guarantees for support, maintenance, and ongoing product updates throughout the expected lifecycle of the HCI solution.
5. Final Takeaway
Evaluating a vendor's financial stability is crucial before entering into contractual commitments to ensure their ability to fulfill obligations. Hyper-converged infrastructure overcomes infrastructural challenges by simplifying operations, enabling cloud-like environments, and facilitating data and application migration. The HCI market offers enterprise, small/medium enterprise, and vertical solutions, each catering to different needs and requirements.
Analysing enterprise HCI solutions requires careful consideration of various criteria. Each approach has its own advantages and considerations related to flexibility, performance, and cost.
The mentioned techniques can significantly reduce the data footprint, particularly in use cases like VDI, while maintaining performance and efficiency. Organizations take decisions that align with their specific storage, security, and efficiency requirements by considering the evaluation criteria for enterprise HCI solutions.
By considering these factors, organizations can make informed decisions and choose a vendor with a strong foundation of reliability, stability, and long-term commitment, ensuring the durability of their HCI infrastructure and minimizing risks associated with vendor instability.
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Hyper-Converged Infrastructure
Article | October 3, 2023
Stay ahead of the curve and navigate the complex landscape of regulatory obligations to safeguard data in cloud. Explores the challenges of maintaining compliance and strategies for risk mitigation.
Contents
1. Introduction
2. 3 Essential Regulatory Requirements
2.1 Before migration
2.2. During migration
2.3. After migration
3. Challenges in Ensuring Compliance in Infrastructure as a Service in Cloud Computing
3.1. Shared Responsibility Model
3.2. Data Breach
3.3. Access Mismanagement
3.4. Audit and Monitoring Challenges
4. Strategies for Addressing Compliance Challenges in IaaS
4.1. Risk Management and Assessment
4.2. Encryption and Collaboration with Cloud Service Providers
4.3. Contractual Agreements
4.4. Compliance Monitoring and Reporting
5. Conclusion
1. Introduction
Ensuring Infrastructure as a Service (IaaS) compliance in security is crucial for organizations to meet regulatory requirements and avoid potential legal and financial consequences. However, several challenges must be addressed before and after migration to the cloud. This article provides an overview of the regulatory requirements in cloud computing, explores the challenges faced in ensuring compliance in IaaS, a cloud implementation service and provides strategies for addressing these challenges to ensure a successful cloud migration.
2. 3 Essential Regulatory Requirements
When adopting cloud infrastructure as a service, organizations must comply with regulatory requirements before, during, and after migration to the cloud. This ensures avoiding the challenges, firms may face later and suggest solutions if they do so.
2.1 Before migration:
Organizations must identify the relevant regulations that apply to their industry and geographic location. This includes: Data Protection Laws, Industry-Specific Regulations, and International Laws.
2.2. During migration:
Organizations must ensure that they meet regulatory requirements while transferring data and applications to the cloud. This involves: Ensuring proper access management, data encryption, and data residency requirements.
2.3. After migration:
Organizations must continue to meet regulatory requirements through ongoing monitoring and reporting. This includes: Regularly reviewing and updating security measures, ensuring proper data protection, and complying with audit and reporting requirements.
3. Challenges in Ensuring Compliance in Infrastructureas a Service in Cloud Computing
3.1. Shared Responsibility Model
The lack of control over the infrastructure in IaaS cloud computing is caused by the shared responsibility model of IaaS, where the cloud service provider is responsible for the IaaS security while the customer is responsible for securing the data and applications they store and run in the cloud. According to a survey, 22.8% of respondents cited the lack of control over infrastructure as a top concern for cloud security. (Source: Cloud Security Alliance)
3.2. Data Breach
Data breaches have serious consequences for businesses, including legal and financial penalties, damage to their reputation, and the loss of customer trust. The location of data and the regulations governing its storage and processing create challenges for businesses operating in multiple jurisdictions. The global average total cost of a data breach increased by USD 0.11 million to USD 4.35 million in 2022, the highest it's been in the history of this report. The increase from USD 4.24 million in the 2021 report to USD 4.35 million in the 2022 report represents a 2.6% increase. (Source: IBM)
3.3. Access Mismanagement
Insider threats, where authorized users abuse their access privileges, can be a significant challenge for access management in IaaS. This includes the intentional or accidental misuse of credentials or non-protected infrastructure and the theft or loss of devices containing sensitive data. The 2020 data breach investigations report found that over 80% of data breaches were caused by compromised credentials or human error, highlighting the importance of effective access management. (Source: Verizon)
3.4. Audit and Monitoring Challenges
Large volumes of alerts overwhelm security teams, leading to fatigue and missed alerts, which result in non-compliance or security incidents going unnoticed. Limited resources may also make it challenging to effectively monitor and audit infrastructure as a service cloud environment, including the implementation and maintenance of monitoring tools.
4. Strategies for Addressing Compliance Challenges in IaaS
4.1. Risk Management and Assessment
Risk Assessment and Management includes conducting a risk assessment, including assessing risks related to data security, access controls, and regulatory compliance. It also involves implementing risk mitigation measures to address identified risks, like additional security measures or access controls such as encryption or multi-factor authentication.
4.2. Encryption and Collaboration with Cloud Service Providers
Encryption can be implemented at the application, database, or file system level, depending on the specific needs of the business. In addition, businesses should establish clear service level agreements with their cloud service provider related to data protection. This includes requirements for data security, access controls, and backup and recovery processes.
4.3. Contractual Agreements
The agreement should also establish audit and compliance requirements, including regular assessments of access management controls and policies. Using contractual agreements, organizations help ensure that they are clearly defined and that the cloud service provider is held accountable for implementing effective access management controls and policies.
4.4. Compliance Monitoring and Reporting
Monitoring and Reporting involves setting up automated monitoring and reporting mechanisms that track compliance with relevant regulations and standards and generate reports. They should also leverage technologies such as intrusion detection and prevention systems, security information and event management (SIEM) tools, and log analysis tools to collect, analyze, and report on security events in real time.
5. Conclusion
In accordance with the increasing prevalence of data breaches and the growing complexity of regulatory requirements, maintaining a secure and compliant cloud environment will be crucial for businesses to build trust with customers and avoid legal and financial risks. Addressing these requirements, the cloud helps companies maintain data privacy, avoid legal risks, and build customer trust. Organizations create a secure and compliant cloud environment that meets their needs by overcoming challenges and implementing best practices, working closely with cloud service providers. Ultimately, by prioritizing compliance and investing in the necessary resources and expertise, businesses can navigate these challenges and unlock the full potential of the cloud with confidence.
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Hyper-Converged Infrastructure
Article | September 14, 2023
StarlingX—the open source edge computing and IoT cloud platform optimized for low-latency and high-performance applications—is available in its 5.0 release today. StarlingX combines Ceph, OpenStack, Kubernetes and more to create a full-featured cloud software stack that provides everything carriers and enterprises need to deploy an edge cloud on a few servers or hundreds of them.
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Application Infrastructure
Article | June 6, 2022
Introduction
It is hard to manage a modern firm without a convenient and adaptable IT infrastructure. When properly set up and networked, technology can improve back-office processes, increase efficiency, and simplify communication. IT infrastructure can be utilized to supply services or resources both within and outside of a company, as well as to its customers. IT infrastructure when adequately deployed aids organizations in achieving their objectives and increasing profits.
IT infrastructure is made up of numerous components that must be integrated for your company's infrastructure to be coherent and functional. These components work in unison to guarantee that your systems and business as a whole run smoothly.
Enterprise IT Infrastructure Trends
Consumption-based pricing models are becoming more popular among enterprise purchasers, a trend that began with software and has now spread to hardware. This transition from capital to operational spending lowers risk, frees up capital, and improves flexibility. As a result, infrastructure as a service (IaaS) and platform as a service (PaaS) revenues increased by 53% from 2015 to 2016, making them the fastest-growing cloud and infrastructure services segments. The transition to as-a-service models is significant given that a unit of computing or storage in the cloud can be quite cheaper in terms of the total cost of ownership than a unit on-premises.
While businesses have been migrating their workloads to the public cloud for years, there has been a new shift among large corporations. Many companies, including Capital One, GE, Netflix, Time Inc., and others, have downsized or removed their private data centers in favor of shifting their operations to the cloud.
Cybersecurity remains a high priority for the C-suite and the board of directors. Attacks are increasing in number and complexity across all industries, with 80% of technology executives indicating that their companies are unable to construct a robust response. Due to lack of cybersecurity experts, many companies can’t get the skills they need on the inside, so they have to use managed security services.
Future of Enterprise IT Infrastructure
Companies can adopt the 'As-a-Service' model to lower entry barriers and begin testing future innovations on the cloud's basis. Domain specialists in areas like healthcare and manufacturing may harness AI's potential to solve some of their businesses' most pressing problems.
Whether in a single cloud or across several clouds, businesses want an architecture that can expand to support the rapid evolution of their apps and industry for decades. For enterprise-class visibility and control across all clouds, the architecture must provide a common control plane that supports native cloud Application Programming Interfaces (APIs) as well as enhanced networking and security features.
Conclusion
The scale of disruption in the IT infrastructure sector is unparalleled, presenting enormous opportunities and hazards for industry stakeholders and their customers. Technology infrastructure executives must restructure their portfolios and rethink their go-to-market strategies to drive growth. They should also invest in the foundational competencies required for long-term success, such as digitization, analytics, and agile development.
Data center companies that can solve the industry's challenges, as well as service providers that can scale quickly without limits and provide intelligent outcome-based models. This helps their clients achieve their business objectives through a portfolio of 'As-a-Service' models, will have a bright future.
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