Hyper-Converged Infrastructure
Article | October 3, 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, IT Systems Management
Article | September 14, 2023
There is an exciting convergence in the networking industry around open source, and the energy is palpable. At LF Networking, we have a unique perspective as the largest open source initiative in the networking space with the broadest set of projects that make up the diverse and evolving open source networking stack. LF Networking provides platforms and building blocks across the networking industry that enable rapid interoperability, deployment, and adoption and is the nexus for 5G innovation and integration.
LF Networking has now tapped confluence on industry efforts to structure a new initiative to develop 5G Super Blueprints for the ecosystem. Major integrations between the building blocks are now underway–between ONAP and ORAN, Akraino and Magma, Anuket and Kubernetes, and more.
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Hyper-Converged Infrastructure, Windows Systems and Network
Article | July 11, 2023
Unlocking the potential of hyper-converged infrastructure: Designing an advanced data center with scalability, efficiency, and performance for seamless HCI deployments through recent trends.
Contents
1. Introduction
2. Top Trends to consider in HCI
2.1. Public Cloud Services: An Option to On-premises Storage Infrastructure
2.2. Increasing Priority for Edge in Digital Businesses
2.3. Application Modernization
2.4. Hybrid and HCI: The Way to Future
2.5. HCI Automation Software in Pipeline
2.6. Backup and Disaster Recovery
2.7. Quadrupling of Micro Data and Edge Centers
3. Wrap Up
1. Introduction
In the era of hyper-converged infrastructure, designing an advanced data center is crucial to unlock the full potential of this transformative technology. With HCI combining compute, storage, and networking into a single platform, the data center must be carefully planned and optimized to ensure scalability, flexibility, and efficient operations. In this article, explore the key considerations and top hyper converged infrastructure trends for designing an advanced data center tailored for HCI, enabling organizations to harness the benefits of this innovative infrastructure.
2. Top Trends to consider in HCI
2.1 Public Cloud Services: An Option to On-premises Storage Infrastructure
HCI is experiencing the option of public cloud services as an alternative to on-premises storage infrastructure. By leveraging cloud services and native HCI platform file services, organizations can optimize workloads, leverage data storage services, eliminate silos, and create a unified and high-performance infrastructure. A 2019 ESG survey conducted among IT and data storage professionals found that public cloud storage infrastructure is increasingly favored over on-premises options. The survey revealed that IT professionals are twice as likely to consider public cloud storage infrastructure due to its benefits in cost efficiency, ease of procurement, automation capabilities, and simplified evaluation processes. Hyperconverged infrastructure facilitates on-premises and cloud-based deployments, enabling organizations to integrate and manage their IT infrastructure across both environments seamlessly. As organizations continue to explore hybrid IT strategies, HCI will play a critical role in providing a flexible and efficient infrastructure foundation.
2.2 Increasing Priority for Edge in Digital Businesses
Organizations are investing in IT to support this new business model of edge computing, and HCI plays a crucial role in enabling the deployment of edge resources. This trend also drives cloud adoption for such implementations, facilitating rapid responses to evolving business models and enabling dynamic scalability without impacting the core business. The rise of remote workforces has highlighted the importance of edge computing, where computing resources are brought closer to the point of data generation and consumption. This streamlined approach enables organizations to deploy and manage edge resources efficiently, ensuring reliable performance and data availability for remote employees. Furthermore, the adoption of IT infrastructure is complemented by the increasing use of cloud services. HCI serves as a bridge between on-premises infrastructure and the cloud, facilitating seamless integration and enabling organizations to leverage cloud capabilities for rapid scalability and flexibility.
2.3 Application modernization
One among Hyper-Converged Infrastructure trends, is application modernization is driving CIOs to seek opportunities for migrating to next-generation digital platforms that leverage HCI and cloud-native approaches. As part of this modernization approach, DevOps practices will need to incorporate containers and orchestration layers to provide the burst capabilities required to keep up with the escalating demands of digital experiences. The need for application modernization makes embracing advanced digital platforms that can efficiently modernize their existing applications compelling. This transformation allows for the rapid development of new products, services, and processes, enhancing customer experiences and increasing customer satisfaction. Containers provide a lightweight and scalable environment, allowing for consistent and reliable application deployment across various platforms. Orchestration tools streamline the management of containerized applications, enabling automated scaling, load balancing, and efficient resource allocation. By leveraging these containerization and orchestration layers, organizations can meet the growing demands of digital experiences, ensuring optimal performance and responsiveness.
2.4 Hybrid and HCI: The Way to Future
Traditional, cumbersome infrastructure is slowing down companies and impeding their ability to innovate faster than their more agile competitors. The future of IT infrastructure lies in hybrid environments, and HCI serves as a powerful facilitator for this transition. HCI allows businesses to seamlessly simplify their environments, optimize workload experiences, and improve scalability. According to research by 451 Research, 45% of respondents using HCI report that it facilitates resource scaling across their environments as circumstances and goals evolve. Additionally, an overwhelming 97% of HCI customers agree that HCI simplifies the deployment process for hybrid IT environments. This demonstrates the value and relevance of HCI in supporting the agility and flexibility demanded by the future of IT infrastructure. Fundamental innovations such as compute/storage disaggregation with HCI Mesh, native file services, and Kubernetes integration are broadening the range of applications for which HCI is well suited. With ongoing product innovations, such as compute/storage disaggregation, native file services, and Kubernetes integration, HCI continues to expand its range of applications, providing organizations with the performance, agility, and cost savings needed in modern IT infrastructure.
2.5 HCI Automation Software in Pipeline
The highly automated nature of HCI helps mitigate the risk of downtime by automating everyday life-cycle infrastructure management tasks, such as firmware upgrades and system refreshes. This automation reduces the need for complex, disruptive forklift upgrades traditionally prevalent in data centers. As a result, the data center becomes more intelligent and automated through the pervasive use of artificial intelligence and hyper-convergence, particularly in the monitoring and managing of assets and risks. Hyper converged infrastructure vendors are heavily investing in machine learning and automation to improve the underlying hardware and hyper-converged software for providing hyper converged solutions. The development of automation software, machine-learning-based AI for HCI reflects the industry's focus on enhancing HCI's efficiency, resilience, and manageability. Integrating artificial intelligence and automation technologies into HCI offerings paves the way for more intelligent and self-managing data centers. As the trend continues to evolve, organizations can expect greater automation capabilities and improved management of their decentralized and distributed systems through innovative HCI software solutions.
2.6 Backup and Disaster Recovery
Increasing concerns for faster data backup and security drive significant growth in the backup and disaster recovery application segment. Research firm MarketsAndMarkets reports that backup and disaster recovery are the fastest-growing applications within the hyper-converged market. One notable trend in the backup and disaster recovery space is the ability of hyper-convergence to reduce the total cost of ownership and operating expenses. Organizations can achieve cost savings and streamline their backup and disaster recovery processes by consolidating backup software, deduplication appliances, and storage arrays into a unified infrastructure. This integrated approach simplifies management, eliminates the need for separate components, and improves overall efficiency. According to MarketsAndMarkets, the global hyper-converged infrastructure market is projected to grow at a compound annual growth rate of 33 percent over the next four years, reaching a value of $17.1 billion by 2023. The demand for continuous application delivery and the increasing awareness among enterprises and small to medium-sized businesses are expected to drive this hyper converged market size expansion.
2.7 Quadrupling of Micro Data and Edge Centers
The evolution and adaptation of traditional enterprise data centers, driven by the rise of cloud computing, are paving the way for the expansion of micro or edge data centers. Gartner predicts that by 2025 these edge data centers will quadruple, fueled by innovations such as 5G and hyperconverged infrastructure. This shift presents an opportunity for hyper-converged offerings to consolidate servers, storage, networking, and software into a single, streamlined solution at the edge. While small remote office and edge deployments may require fewer storage and compute resources, they greatly benefit from centralized management and high-availability designs. HCI's ability to consolidate resources and its compact form factor make it an ideal solution for edge environments with limited physical space.
3. Wrap Up
Designing an advanced data center for hyper-converged infrastructure trends requires careful planning and consideration of key factors in HCI such as scalability, network architecture, storage requirements, and redundancy. By implementing approaches like modular design, modern digitalization, efficient cooling, proper power distribution, and robust security measures, organizations can create a data center that optimally supports HCI deployments. With an advanced data center, organizations can realize the full potential of HCI, achieving agility, scalability, and improved performance for their IT infrastructure.
An advanced data center tailored for hyper-converged infrastructure is essential to fully leverage HCI's benefits. By following the trends & techniques and considering critical factors in design, organizations can create a future-proof and efficient data center that enables seamless deployment and operation of HCI solutions, unlocking agility and scalability for their IT infrastructure.
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Article | April 27, 2020
Data science and big data analytics have become the new must-haves for businesses across many industries. Gone are the days when algorithm development and large-scale data mining were confined to Silicon Valley. In the modern, tech-savvy age, it’s almost an afterthought that banks, insurance brokerages, healthcare entities, and other non-tech-sector companies seek to be “the next Apple/Google/Amazon” or whatever tech behemoth completes the C-suite’s bromide. This is true not just in word, but in deed.
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