Hyper-Converged Infrastructure
Article | October 10, 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, IT Systems Management
Article | September 14, 2023
As your organization scales, inevitably, so too will its infrastructure needs. From physical spaces to personnel, devices to applications, physical security to cybersecurity – all these resources will continue to grow to meet the changing needs of your business operations.
To manage your changing infrastructure throughout its entire lifecycle, your organization needs to implement a robust infrastructure lifecycle management program that’s designed to meet your particular business needs.
In particular, IT asset lifecycle management (ITALM) is becoming increasingly important for organizations across industries. As threats to organizations’ cybersecurity become more sophisticated and successful cyberattacks become more common, your business needs (now, more than ever) to implement an infrastructure lifecycle management strategy that emphasizes the security of your IT infrastructure.
In this article, we’ll explain why infrastructure management is important. Then we’ll outline steps your organization can take to design and implement a program and provide you with some of the most important infrastructure lifecycle management best practices for your business.
What Is the Purpose of Infrastructure Lifecycle Management?
No matter the size or industry of your organization, infrastructure lifecycle management is a critical process. The purpose of an infrastructure lifecycle management program is to protect your business and its infrastructure assets against risk.
Today, protecting your organization and its customer data from malicious actors means taking a more active approach to cybersecurity. Simply put, recovering from a cyber attack is more difficult and expensive than protecting yourself from one. If 2020 and 2021 have taught us anything about cybersecurity, it’s that cybercrime is on the rise and it’s not slowing down anytime soon.
As risks to cybersecurity continue to grow in number and in harm, infrastructure lifecycle management and IT asset management are becoming almost unavoidable. In addition to protecting your organization from potential cyberattacks, infrastructure lifecycle management makes for a more efficient enterprise, delivers a better end user experience for consumers, and identifies where your organization needs to expand its infrastructure.
Some of the other benefits that come along with comprehensive infrastructure lifecycle management program include:
More accurate planning;
Centralized and cost-effective procurement;
Streamlined provisioning of technology to users;
More efficient maintenance;
Secure and timely disposal.
A robust infrastructure lifecycle management program helps your organization to keep track of all the assets running on (or attached to) your corporate networks. That allows you to catalog, identify and track these assets wherever they are, physically and digitally.
While this might seem simple enough, infrastructure lifecycle management and particularly ITALM has become more complex as the diversity of IT assets has increased. Today organizations and their IT teams are responsible for managing hardware, software, cloud infrastructure, SaaS, and connected device or IoT assets. As the number of IT assets under management has soared for most organizations in the past decade, a comprehensive and holistic approach to infrastructure lifecycle management has never been more important.
Generally speaking, there are four major stages of asset lifecycle management. Your organization’s infrastructure lifecycle management program should include specific policies and processes for each of the following steps:
Planning. This is arguably the most important step for businesses and should be conducted prior to purchasing any assets. During this stage, you’ll need to identify what asset types are required and in what number; compile and verify the requirements for each asset; and evaluate those assets to make sure they meet your service needs.
Acquisition and procurement. Use this stage to identify areas for purchase consolidation with the most cost-effective vendors, negotiate warranties and bulk purchases of SaaS and cloud infrastructure assets. This is where lack of insights into actual asset usage can potentially result in overpaying for assets that aren’t really necessary. For this reason, timely and accurate asset data is crucial for effective acquisition and procurement.
Maintenance, upgrades and repair. All assets eventually require maintenance, upgrades and repairs. A holistic approach to infrastructure lifecycle management means tracking these needs and consolidating them into a single platform across all asset types.
Disposal. An outdated or broken asset needs to be disposed of properly, especially if it contains sensitive information. For hardware, assets that are older than a few years are often obsolete, and assets that fall out of warranty are typically no longer worth maintaining. Disposal of cloud infrastructure assets is also critical because data stored in the cloud can stay there forever.
Now that we’ve outlined the purpose and basic stages of infrastructure lifecycle management, it’s time to look at the steps your organization can take to implement it.
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Hyper-Converged Infrastructure, Application Infrastructure
Article | July 19, 2023
Streamlining operations and maximizing efficiency: Choose the right tools for managing and orchestrating hyper-converged infrastructure to unlock its full potential with Hyperconverged solutions.
Managing and orchestrating hyper-converged infrastructure (HCI) is critical to modern IT operations. With the growing adoption of HCI solutions, choosing the right tools for management and orchestration is essential for organizations to optimize their infrastructure and ensure seamless operations. In this article, we will delve into the factors to consider when selecting Hyper-Converged tools for management and orchestration and explore some of the top options available in the market.
1. Symcloud Orchestrator
The Symcloud platform is a webscale solution designed for metal-service automation and orchestration in telecommunications. It enables the automation and management of various network components, including RAN (Radio Access Network), packet core, and MEC (Multi-Access Edge Computing). With Symcloud, businesses can centrally manage large numbers of CNF (Cloud-Native Function) and VNF (Virtual Network function) capable Kubernetes clusters on a single Kubernetes platform. The platform allows for rapid deployment of the entire solution stack in minutes, supporting edge, far edge, and core data centers. Symcloud provides advanced monitoring, planning, and healing capabilities, enabling users to view hardware, software, services, and connectivity dependencies. The architecture of Symcloud Orchestrator combines app-aware storage, virtual networking, and application workflow automation on Kubernetes. Symcloud Storage provides advanced storage and data management capabilities for Kubernetes distributions, seamlessly integrating with native administrative tooling. Symcloud Platform is a Kubernetes infrastructure that supports containers and virtual machines, offering superior performance, features, and flexibility.
2. Morpheus
Morpheus Data is a comprehensive hybrid cloud management platform that empowers enterprises to manage and modernize their applications while reducing costs and improving efficiency. With Morpheus, businesses can quickly enable on-premises private clouds, centralize access to public clouds, and orchestrate changes with advanced features like cost analytics, governance policies, and automation. It provides a unified view of virtual machines, clouds, containers, and applications in a single location, regardless of the private or public cloud environment. Morpheus offers responsive support from an expert team and features an extensible design. It helps centralize platforms, create private clouds, manage public clouds, and streamline Kubernetes deployments. This tool also enables compliance assurance through simplified authentication, access controls, policies, and security management. By automating application lifecycles, running workflows, and simplifying day-to-day operations, Morpheus helps modernize applications. The platform optimizes cloud costs by inventorying existing resources, right-sizing them, tracking cloud spending, and providing centralized visibility.
3. The Kubernetes Database-as-a-Service Platform
Portworx Data Services is a Kubernetes Database-as-a-Service (DBaaS) platform that offers a single solution for deploying, operating, and managing various data services without being locked into a specific vendor. It simplifies heterogeneous databases' deployment and day-to-day operations, eliminating the need for specialized expertise. With one click, organizations can deploy enterprise-grade data services with built-in capabilities like backup, restore, high availability, data recovery, security, capacity management, and migration. The platform supports a broad catalog of data services, including SQL Server, MySQL, PostgreSQL, MongoDB, Redis, Elasticsearch, Cassandra, Couchbase, Kafka, Consul, RabbitMQ, and ZooKeeper. Portworx Data Services provides a consistent DBaaS experience on any infrastructure, whether on-premises or in the cloud, enabling seamless migration based on evolving business requirements.
4. DCImanager
DCImanager- a platform for managing multivendor IT infrastructure is a comprehensive platform for providing a unified interface to oversee and control all equipment types, including racks, servers, network devices, PDUs, and virtual networks. It is suitable for servers and data centers of any size, including distributed environments. DCImanager eliminates the need for additional tools and associated maintenance costs, allowing users to work seamlessly with equipment from popular vendors. With DCImanager, users can efficiently manage servers remotely, automate maintenance tasks, monitor power consumption, configure network settings, track inventory, visualize racks, and receive timely notifications. With over 16 years of experience, DCImanager is a reliable solution trusted by thousands of companies worldwide, backed by professional support.
5. EasyDCIM
EasyDCIM, a cloud-like bare metal server provisioning is a comprehensive and hassle-free data center administration solution that offers an all-in-one platform for managing daily tasks without requiring multiple software tools. It provides mobility, allowing remote management of data centers from any location and device. The system is highly expandable and customizable, allowing users to tailor the functionality to their needs. EasyDCIM excels in automated bare metal and dedicated server provisioning, streamlining the process from ordering to service delivery. It features a standalone system with a fully customizable admin control panel and user portal. The platform includes advanced data center asset lifecycle tracking, automated OS installation, network auto-discovering, and integration with billing solutions. EasyDCIM's modular architecture enables the easy extension and modification of system components.
6. Puppet
Puppet-Infrastructure automation and compliance at enterprise scale offers an automation solution that allows businesses to manage and automate complex workflows using reusable blocks of self-healing infrastructure as code. With model-driven and task-based configuration management, organizations can quickly deploy infrastructure to meet their evolving needs at any scale. By automating the entire infrastructure lifecycle, Puppet increases operational efficiency, eliminates silos, reduces response time, and streamlines change management. Puppet's automated policy enforcement ensures continuous compliance and a secure posture, enabling the identification, reporting, and resolution of errors while enforcing the desired state across the infrastructure. Leveraging the vibrant Puppet community, users can benefit from pre-built content and workflows, accelerating their deployment. With deep DevOps and enterprise experience, Puppet is a trusted advisor, assisting the largest enterprise customers in rethinking and redefining their IT management practices.
7. Foreman
Foreman is a robust lifecycle management tool designed for system administrators to manage physical and virtual servers efficiently. With Foreman, tasks can be automated, applications can be deployed quickly, and server management becomes proactive. It supports a wide range of providers, enabling hybrid cloud management. The tool includes features such as external node classification, Puppet and Salt configuration monitoring, and comprehensive host monitoring. Its CLI, Hammer, offers easy access to API calls for streamlined data center management. With RBAC and LDAP integration, audits, and a pluggable architecture, Foreman provides a powerful solution for server provisioning, configuration management, and monitoring.
Conclusion
HCI choosing the right tools for management and orchestration is paramount for organizations seeking to optimize their operations and achieve greater efficiency. Businesses can make informed decisions and select tools that align with their specific needs by considering factors such as scalability, automation capabilities, integration, and vendor support. Whether leveraging vendor-provided solutions or opting for third-party tools, the key is ensuring that the chosen tools enable effective management and orchestration of the HCI environment, allowing organizations to unlock the full potential of their infrastructure and drive business success.
As HCI continues to gain prominence, selecting the appropriate Hyper-Converged tools for management and orchestration becomes crucial for organizations aiming to streamline operations and maximize the benefits of their infrastructure investment. By carefully evaluating the available options, considering key factors, and aligning with business requirements, organizations can make informed decisions that optimize their HCI environment and enable them to adapt to the evolving needs of their digital infrastructure.
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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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