Hyper-Converged Infrastructure
Article | October 3, 2023
The success of 5G technology is a function of both the infrastructure that supports it and the ecosystems that enable it. Today, the definitive focus in the 5G space is on enterprise use cases, ranging from dedicated private 5G networks to accessing edge compute infrastructure and public or private clouds from the public 5G network. As a result, vendor-neutral multitenant data center providers and their rich interconnection capabilities are pivotal in helping make 5G a reality. This is true both in terms of the physical infrastructure needed to support 5G and the ability to effectively connect enterprises to 5G.
Industry experts expect 5G to enable emerging applications such as virtual and augmented reality (AR/VR), industrial robotics/controls as part of the industrial internet of things (IIoT), interactive gaming, autonomous driving, and remote medical procedures. These applications need a modern, cloud-based infrastructure to meet requirements around latency, cost, availability and scalability. This infrastructure must be able to provide real-time, high-bandwidth, low-latency access to latency-dependent applications distributed at the edge of the network.
How Equinix thinks about network slicing
Network slicing refers to the ability to provision and connect functions within a common physical network to provide the resources necessary to deliver service functionality under specific performance constraints (such as latency, throughput, capacity and reliability) and functional constraints (such as security and applications/services). With network slicing, enterprises can use 5G networks and services for a wide variety of use cases on the same infrastructure.
Providing continuity of network slices with optimal UPF placement and intelligent interconnection
Mobile traffic originates in the mobile network, but it is not contained to the mobile network domain, because it runs between the user app on a device and the server workload on multi-access edge compute (MEC) or on the cloud. Therefore, to preserve intended characteristics, the slice must be extended all the way to where the traffic wants to go. This is why we like to say “the slicing must go on.”
The placement of network functions within the slice must be optimized relative to the intended traffic flow, so that performance can be ensured end-to-end. As a result, organizations must place or activate the user plane function (UPF) in optimal locations relative to the end-to-end user plane traffic flow.
We expect that hybrid and multicloud connectivity will remain a key requirement for enterprises using 5G access. In this case, hybrid refers to private edge computing resources (what we loosely call “MEC”) located in data centers—such as Equinix International Business Exchange™ (IBX®) data centers—and multicloud refers to accessing multiple cloud providers from 5G devices. To ensure both hybrid and multicloud connectivity, enterprises need to make the UPF part of the multidomain virtual Layer 2/Layer 3 interconnection fabric.
Because a slice must span multiple domains, automation of UPF activation, provisioning and virtual interconnection to edge compute and multicloud environments is critical.
Implementing network slicing for interconnection of core and edge technology
Equinix partnered with Kaloom to develop network slicing for interconnection of core and edge (NICE) technology within our 5G and Edge Technology Development Center (5G ETDC) in Dallas. NICE technology is built using cloud-native network fabric and high-performance 5G UPF from Kaloom. This is a production-ready software solution, running on white boxes built with P4 programmable application-specific integrated circuits (ASICs), allowing for deep network slicing and support for high-performance 5G UPF with extremely fast data transfer rates.
With NICE technology in the 5G ETDC, Equinix demonstrates:
5G UPF deployment/activation and traffic breakout at Equinix for multiple slices.
Software-defined interconnection between the 5G core and MEC resources from multiple providers.
Software-defined interconnection between the 5G core and multiple cloud service providers.
Orchestration of provisioning and automation of interconnection across the 5G core, MEC and cloud resources.
Architecture of NICE technology in the Equinix 5G ETDC
The image above shows (from left to right):
The mobile domain with radio access network (RAN), devices (simulated) and mobile backhaul connected to Equinix.
The Equinix domain with:
Equinix Metal® supporting edge computing servers and a fabric controller from Kaloom.
Network slicing fabric providing interconnection and Layer 2/Layer 3 cloud-native networking to dynamically activate UPF instances/interfaces connected with MEC environments and clouds, forming two slices (shown above in blue and red).
Equinix Fabric™ and multicloud connectivity.
This demonstrates the benefit of having the UPF as a feature of the interconnection fabric, effectively allowing UPF activation as part of the virtual fabric configuration. This ultimately enables high-performance UPF that’s suitable for use cases such as high-speed 5G fixed wireless access.
Combining UPF instances and MEC environments into an interconnection fabric makes it possible to create continuity for the slices and influence performance and functionality. Equinix Fabric adds multicloud connectivity to slices, enabling organizations to directly integrate network slicing with their mobile hybrid multicloud architectures.
Successful private 5G edge deployments deliver value in several ways. Primarily, they offer immediate access to locally provisioned elastic compute, storage and networking resources that deliver the best user and application experiences. In addition, they help businesses access a rich ecosystem of partners to unlock new technologies at the edge.
Secure, reliable connectivity and scalable resources are essential at the edge. A multivendor strategy with best-of-breed components complemented by telemetry, advanced analytics with management and orchestration—as demonstrated with NICE in Equinix data centers—is a most effective way to meet those requirements. With Equinix’s global footprint of secure, well-equipped facilities, customers can maximize benefits.”
- Suresh Krishnan, CTO, Kaloom
Equinix and its partners are building the future of 5G
NICE technology is just one example of how the Equinix 5G and Edge Technology Development Center enables the innovation and development of real-world capabilities that underpin the edge computing and interconnection infrastructure required to successfully implement 5G use cases. A key benefit of the 5G ETDC is the ability to combine cutting-edge innovations from our partners like Kaloom with proven solutions from Equinix that already serve a large ecosystem of customers actively utilizing hybrid multicloud architectures.
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Hyper-Converged Infrastructure
Article | October 3, 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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Hyper-Converged Infrastructure, IT Systems Management
Article | September 14, 2023
Nowadays, SaaS, IaaS, and PaaS are some of the most common names across the B2B and B2C sectors. This is because they have become the most efficient and go-to tool for starting a business.
Together, they are significantly changing business operations around the globe and have emerged as separate sectors, revamping concepts of various product development, building and delivery processes.
SaaS Vs PaaS Vs IaaS
Each cloud computing model offers specific features and functionalities. Therefore, your organization must understand the differences.
Whether you require cloud-based software to create customized applications, get complete control over your entire infrastructure without physically maintaining it, or simply for storage options, there is a cloud service for you.
No matter what you choose, migrating to the cloud is the future of your business and technology.
What is the Difference?
IaaS: Aka Infrastructure as a Service IaaS allows organizations to manage their business resources such as their servers, network, and data storage on the cloud.
PaaS: Aka Platform as a Service allows businesses and developers to build, host, and deploy consumer-facing apps.
SaaS: Aka Software as a Service offers businesses and consumers cloud-based tools and applications for everyday use.
You can easily access all three cloud computing tools on the internet browser or online apps.
A great example would be Google Docs; Instead of working on one MS Word document and sending it around to each other, Google Docs allows your team to work and simultaneously collaborate online.
The Market Value
A recent report says that by 2028, the global SaaS market will be worth $716.52 billion, and by 2030, the global PaaS market will be worth $319 billion. Moreover, the global IaaS market is expected to be worth $292.58 billion by 2028, giving market players many opportunities.
XaaS: Everything as a Service
Another term more frequently used in IT is XaaS, short for Everything as a Service. It has emerged as a critical enabler of the Autonomous Digital Enterprise.
XaaS is a term for highly customized, responsive, data-driven products and services that are entirely in the hands of the customer and based on the information they give through everyday IoT devices like cell phones and thermostats.
Businesses can utilize this data generated over the cloud to deepen their customer relationships, sustain the sale beyond the initial product purchase and innovate faster.
Conclusion
Cloud computing is not restricted by physical hardware or office space. On the contrary, it allows your remote teams to work more effectively and seamlessly than ever, boosting productivity. Therefore, it offers maximum flexibility and scalability.
IaaS, SaaS, PaaS; whichever solution you choose, options are always available to help you and your team move into cloud computing.
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Hyper-Converged Infrastructure
Article | October 3, 2023
Revolutionize data management with HCI: Unveil the modernized storage solutions and implementation strategies for enhanced efficiency, scalability, sustainable growth and future-ready performance.
Contents
1. Introduction to Modernized Storage Solutions and HCI
2. Software-Defined Storage in HCI
3. Benefits of Modern Storage HCI in Data Management
3.1 Data Security and Privacy in HCI Storage
3.2 Data Analytics and Business Intelligence Integration
3.3 Hybrid and Multi-Cloud Data Management
4. Implementation Strategies for Modern Storage HCI
4.1 Workload Analysis
4.2 Software-Defined Storage
4.3 Advanced Networking
4.4 Data Tiering and Caching
4.5 Continuous Monitoring and Optimization
5. Future Trends in HCI Storage and Data Management
1. Introduction to Modernized Storage Solutions and HCI
Modern businesses face escalating data volumes, necessitating efficient and scalable storage solutions. Modernized storage solutions, such as HCI, integrate computing, networking, and storage resources into a unified system, streamlining operations and simplifying data management.
By embracing modernized storage solutions and HCI, organizations can unlock numerous benefits, including enhanced agility, simplified management, improved performance, robust data protection, and optimized costs. As technology evolves, leveraging these solutions will be instrumental in achieving competitive advantages and future-proofing the organization's IT infrastructure.
2. Software-Defined Storage in HCI
By embracing software-defined storage in HCI, organizations can benefit from simplified storage management, scalability, improved performance, cost efficiency, and seamless integration with hybrid cloud environments. These advantages empower businesses to optimize their storage infrastructure, increase agility, and effectively manage growing data demands, ultimately driving success in the digital era.
Software-defined storage in HCI revolutionizes traditional, hardware-based storage arrays by replacing them with virtualized storage resources managed through software. This centralized approach simplifies data storage management, allowing IT teams to allocate and oversee storage resources efficiently. With software-defined storage, organizations can seamlessly scale their storage infrastructure as needed without the complexities associated with traditional hardware setups. By abstracting storage from physical hardware, software-defined storage brings greater agility and flexibility to the storage infrastructure, enabling organizations to adapt quickly to changing business demands.
Software-defined storage in HCI empowers organizations with seamless data mobility, allowing for the smooth movement of workloads and data across various infrastructure environments, including private and public clouds. This flexibility enables organizations to implement hybrid cloud strategies, leveraging the advantages of both on-premises and cloud environments. With software-defined storage, data migration, replication, and synchronization between different data storage locations become simplified tasks. This simplification enhances data availability and accessibility, facilitating efficient data management across other storage platforms and enabling organizations to make the most of their hybrid cloud deployments.
3. Benefits of Modern Storage HCI in Data Management
Software-defined storage HCI simplifies hybrid and multi-cloud data management. Its single platform lets enterprises easily move workloads and data between on-premises infrastructure, private clouds, and public clouds. The centralized management interface of software-defined storage HCI ensures comprehensive data governance, unifies control, ensures compliance, and improves visibility across the data management ecosystem, complementing this flexibility and scalability optimization.
3.1 Data Security and Privacy in HCI Storage
Modern software-defined storage HCI solutions provide robust data security measures, including encryption, access controls, and secure replication. By centralizing storage management through software-defined storage, organizations can implement consistent security policies across all storage resources, minimizing the risk of data breaches. HCI platforms offer built-in features such as snapshots, replication, and disaster recovery capabilities, ensuring data integrity, business continuity, and resilience against potential threats.
3.2 Data Analytics and Business Intelligence Integration
These HCI platforms seamlessly integrate with data analytics and business intelligence tools, enabling organizations to gain valuable insights and make informed decisions. By consolidating storage, compute, and analytics capabilities, HCI minimizes data movement and latency, enhancing the efficiency of data analysis processes. The scalable architecture of software-defined storage HCI supports processing large data volumes, accelerating data analytics, predictive modeling, and facilitating data-driven strategies for enhanced operational efficiency and competitiveness.
3.3 Hybrid and Multi-Cloud Data Management
Software-defined storage HCI simplifies hybrid and multi-cloud data management by providing a unified platform for seamless data movement across different environments. Organizations can easily migrate workloads and data between on-premises infrastructure, private clouds, and public clouds, optimizing flexibility and scalability. The centralized management interface of software-defined storage HCI enables consistent data governance, ensuring control, compliance, and visibility across the entire data management ecosystem.
4. Implementation Strategies for Modern Storage Using HCI
4.1 Workload Analysis
A comprehensive workload analysis is essential before embarking on an HCI implementation journey. Start by thoroughly assessing the organization's workloads, delving into factors like application performance requirements, data access patterns, and peak usage times. Prioritize workloads based on their criticality to business operations, ensuring that those directly impacting revenue or customer experiences are addressed first.
4.2 Software-Defined Storage
Software-defined storage (SDS) offers flexibility and abstraction of storage resources from hardware. SDS solutions are often vendor-agnostic, enabling organizations to choose storage hardware that aligns best with their needs. Scalability is a hallmark of SDS, as it can easily adapt to accommodate growing data volumes and evolving performance requirements. Adopt SDS for a wide range of data services, including snapshots, deduplication, compression, and automated tiering, all of which enhance storage efficiency.
4.3 Advanced Networking
Leverage Software-Defined Networking technologies within the HCI environment to enhance agility, optimize network resource utilization, and support dynamic workload migrations. Implementing network segmentation allows organizations to isolate different workload types or security zones within the HCI infrastructure, bolstering security and compliance. Quality of Service (QoS) controls come into play to prioritize network traffic based on specific application requirements, ensuring optimal performance for critical workloads.
4.4 Data Tiering and Caching
Intelligent data tiering and caching strategies play a pivotal role in optimizing storage within the HCI environment. These strategies automate the movement of data between different storage tiers based on usage patterns, ensuring that frequently accessed data resides on high-performance storage while less-accessed data is placed on lower-cost storage. Caching techniques, such as read and write caching, accelerate data access by storing frequently accessed data on high-speed storage media. Consider hybrid storage configurations, combining solid-state drives (SSDs) for caching and traditional hard disk drives (HDDs) for cost-effective capacity storage.
4.5 Continuous Monitoring and Optimization
Implement real-time monitoring tools to provide visibility into the HCI environment's performance, health, and resource utilization, allowing IT teams to address potential issues proactively. Predictive analytics come into play to forecast future resource requirements and identify potential bottlenecks before they impact performance. Resource balancing mechanisms automatically allocate compute, storage, and network resources to workloads based on demand, ensuring efficient resource utilization. Continuous capacity monitoring and planning help organizations avoid resource shortages in anticipation of future growth.
5. Future Trends in HCI Storage and Data Management
Modernized storage solutions using HCI have transformed data management practices, revolutionizing how organizations store, protect, and utilize their data. HCI offers a centralized and software-defined approach to storage, simplifying management, improving scalability, and enhancing operational efficiency. The abstraction of storage from physical hardware grants organizations greater agility and flexibility in their storage infrastructure, adapting to evolving business needs. With HCI, organizations implement consistent security policies across their storage resources, reducing the risk of data breaches and ensuring data integrity. This flexibility empowers organizations to optimize resource utilization scale as needed. This drives informed decision-making, improves operational efficiency, and fosters data-driven strategies for organizational growth.
The future of Hyper-Converged Infrastructure storage and data management promises exciting advancements that will revolutionize the digital landscape. As edge computing gains momentum, HCI solutions will adapt to support edge deployments, enabling organizations to process and analyze data closer to the source. Composable infrastructure will enable organizations to build flexible and adaptive IT infrastructures, dynamically allocating compute, storage, and networking resources as needed. Data governance and compliance will be paramount, with HCI platforms providing robust data classification, encryption, and auditability features to ensure regulatory compliance. Optimized hybrid and multi-cloud integration will enable seamless data mobility, empowering organizations to leverage the benefits of different cloud environments. By embracing these, organizations can unlock the full potential of HCI storage and data management, driving innovation and achieving sustainable growth in the ever-evolving digital landscape.
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