Hyper-Converged Infrastructure, Windows Systems and Network
Article | July 11, 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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Application Storage, Data Storage
Article | July 12, 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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Hyper-Converged Infrastructure, Application Infrastructure
Article | July 19, 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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Storage Management
Article | July 11, 2022
Data Center as a Service (DCaaS) is a hosting service that gives clients access to actual data center infrastructure and amenities. Through a Wide-Area Network, DCaaS enables clients to remotely access the provider's storage, server, and networking capabilities (WAN).
Businesses can tackle their on-site data center's logistical and financial issues by outsourcing to a service provider. Many enterprises rely on DCaaS to overcome the physical constraints of their on-site infrastructure or to offload the hosting and management of non-mission-critical applications.
Businesses that require robust data management solutions but lack the necessary internal resources can adopt DCaaS. DCaaS is the perfect answer for companies that are struggling with a lack of IT help or a lack of funding for system maintenance.
Added benefits data Center as a Service allows businesses to be independent of their physical infrastructure:
A single-provider API
Data centers without Staff
Effortlessly handle the influx of data
Data centers in regions with more stable climates
Data Center as a Service helps democratize the data center itself, allowing companies that could never afford the huge investments that have gotten us this far to benefit from these developments. This is perhaps the most important, as Infrastructure-as-a-Service enables smaller companies to get started without a huge investment.
Conclusion
Data center as a service (DCaaS) enables clients to access a data center remotely and its features, whereas data center services might include complete management of an organization's on-premises infrastructure resources. IT can be outsourced using data center services to manage an organization's network, storage, computing, cloud, and maintenance. The infrastructure of many businesses is outsourced to increase operational effectiveness, size, and cost-effectiveness.
It might be challenging to manage your existing infrastructure while keeping up with the pace of innovation, but it's critical to be on the cutting edge of technology. Organizations may stay future-ready by working with a vendor that can supply DCaaS and data center services.
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