Hyper-Converged Infrastructure
Article | October 3, 2023
Every business or organization has spent a lot of time and energy building its network infrastructure. The right resources have taken countless hours to establish, ensuring that their network offers connectivity, operation, management, and communication. Their complex hardware, software, service architecture, and strategies are all working for optimum and dependable use.
Setting up a security strategy for your network requires ongoing, consistent work. Therefore, the first step in implementing a security technique is to do so. The underlying architecture of your network should consider a range of implementation, upkeep, and continuous active procedures.
Network infrastructure security requires a comprehensive strategy that includes best practices and continuing procedures to guarantee that the underlying infrastructure is always safe. A company's choice of security measures is determined by:
Appropriate legal requirements
Rules unique to the industry
The specific network and security needs
Security for network infrastructure has numerous significant advantages. For example, a business or institution can cut expenses, boost output, secure internal communications, and guarantee the security of sensitive data.
Hardware, software, and services are vital, but they could all have flaws that unintentional or intentional acts could take advantage of. Security for network infrastructure is intended to provide sophisticated, comprehensive resources for defense against internal and external threats. Infrastructures are susceptible to assaults like denial-of-service, ransomware, spam, and illegal access.
Implementing and maintaining a workable security plan for your network architecture can be challenging and time-consuming. Experts can help with this crucial and continuous process. A robust infrastructure lowers operational costs, boosts output, and protects sensitive data from hackers. While no security measure will be able to prevent all attack attempts, network infrastructure security can help you lessen the effects of a cyberattack and guarantee that your business is back up and running as soon as feasible.
Read More
Hyper-Converged Infrastructure
Article | September 14, 2023
In my last blog in this series, we looked at the present state of 5G. Although it’s still early and it’s impossible to fully comprehend the potential impact of 5G use cases that haven’t been built yet, opportunities to monetize 5G with little additional investment are out there for network service providers (NSPs) who know where to look.
Now, it’s time to look toward the future. Anyone who’s been paying attention knows that 5G technology will be revolutionary across many industry use cases, but I’m not sure everyone understands just how revolutionary, and how quickly it will go down. According to Gartner®, “While 10% of CSPs in 2020 provided commercializable 5G services, which could achieve multiregional availability, this number will increase to 60% by 2024”.[i]
With so many recognizing the value of 5G and acting to capitalize on it, NSPs that fail to prepare for future 5G opportunities today are doing themselves and their enterprise customers a serious disservice. Preparing for a 5G future may seem daunting but working with a trusted interconnection partner like Equinix can help make it easier.
5G is so challenging for NSPs and their customers because it is so revolutionary. Mobile radio networks were built with consumer use cases in mind, which means the traffic from those networks is generally dumped straight to the internet. 5G is the first generation of wireless technology capable of supporting enterprise-class business applications, which means it’s also forcing many NSPs to consider alternatives to the public internet to support those applications.
User plane function breakout helps put traffic near the app
In my last article, I mentioned that one of the key steps mobile network operators (MNOs) could take to enable 5G monetization in the short term would be to bypass the public internet by enabling user traffic functions in the data center. This is certainly a step in the right direction, but to prepare themselves for future 5G and multicloud opportunities, they must go further by enabling user plane function (UPF) breakout.
The 5G opportunities of tomorrow will rely on wireless traffic residing as close as possible to business applications, to reduce the distance data must travel and keep latency as low as possible. This is a similar challenge to the one NSPs faced in the past with their wireline networks. To address that challenge, they typically deployed virtual network functions (VNFs) on their own equipment. This helped them get the network capabilities they needed, when and where they needed them, but it also required them to buy colocation capacity and figure out how to interconnect their VNFs with the rest of their digital infrastructure.
Instead, Equinix customers have the option to do UPF breakout with Equinix Metal®, our automated bare-metal-as-a-service offering, or Network Edge virtual network services on Platform Equinix®. Both options provide a simple, cost-effective way to get the edge infrastructure needed to support 5G business applications. Since both offerings are integrated with Equinix Fabric™, they allow NSPs to create secure software-defined interconnection with a rich ecosystem of partners. This streamlines the process of setting up hybrid deployments.
Working with Equinix can help make UPF breakout less daunting. Instead of investing massive amounts of money to create 5G-ready infrastructure everywhere they need it, they can take advantage of more than 235 Equinix International Business Exchange™ (IBX®) data centers spread across 65 metros in 27 countries on five continents. This allows them to shift from a potentially debilitating up-front CAPEX investment to an OPEX investment spread over time, making the economics around 5G infrastructure much more manageable.
Support MEC with a wide array of partners
Multiaccess edge compute (MEC) will play a key role in enabling advanced 5G use cases, but first enterprises need a digital infrastructure capable of supporting it. This gets more complicated when they need to modernize their infrastructure while maintaining existing application-level partnerships. To put it simply, NSPs and their enterprise customers need an infrastructure provider that can not only partner with them, but also partner with their partners.
With Equinix Metal, organizations can deploy the physical infrastructure they need to support MEC at software speed, while also supporting capabilities from a diverse array of partners. For instance, Equinix Metal provides support for Google Anthos, Amazon Elastic Container Service (ECS) Anywhere and Amazon Elastic Kubernetes Service (EKS) Anywhere. These are just a few examples of how Equinix interconnection offerings make it easier to collaborate with leading cloud providers to deploy MEC-driven applications.
Provision reliable network slicing in a matter of minutes
Network slicing is another important 5G capability that can help NSPs differentiate their offerings and unlock new business opportunities. On the surface, it sounds simple: slicing up network traffic into different classes of service, so that the most important traffic is optimized for factors such as high throughput, low latency and security. However, NSPs won’t always know exactly what slices their customers will want to send or where they’ll want to send them, making network slice mapping a serious challenge.
Preparing for a 5G future may seem daunting but working with a trusted interconnection partner like Equinix can help make it easier.”
Equinix Fabric offers a quicker, more cost-effective way to map network slices, with no need for cross connects to be set on the fly. With software-defined interconnection, the counterparty that receives the network slice essentially becomes an automated function that NSPs can easily control. This means NSPs can provision network slicing in a matter of minutes, not days, even when they don’t know who the counterparty is going to be. Service automation enabled by Equinix Fabric can be a critical element of an NSP’s multidomain orchestration architecture.
5G use case: Reimagining the live event experience
As part of the MEF 3.0 Proof of Concept showcase, Equinix partnered with Spectrum Enterprise, Adva, and Juniper Networks to create a proof of concept (PoC) for a differentiated live event experience. The PoC showed how event promoters such as minor league sports teams could ingest multiple video feeds into an AI/ML-driven GPU farm that lives in an Equinix facility, and then process those feeds to present fans with custom content on demand.
With the help of network slicing and high-performance MEC, fans can build their own unique experience of the event, looking at different camera angles or following a particular player throughout the game. Event promoters can offer this personalized experience even without access to the on-site data centers that are more common in major league sports venues.
DISH taps Equinix for digital infrastructure services in support of 5G rollout
As DISH looks to build out the first nationwide 5G network in the U.S., they will partner with Equinix to gain access to critical digital infrastructure services in our IBX data centers. This is a great example of how Equinix is equipped to help its NSP partners access the modern digital infrastructure needed to capitalize on 5G—today and into the future.
DISH is taking the lead in delivering on the promise of 5G in the U.S., and our partnership with Equinix will enable us to secure critical interconnections for a nationwide 5G network. With proximity to large population centers, as well as network and cloud density, Equinix is the right partner to connect our cloud-native 5G network.”
- Jeff McSchooler, DISH executive vice president of wireless network operations
Read More
Hyper-Converged Infrastructure, IT Systems Management
Article | September 14, 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.
Read More
Application Infrastructure
Article | November 11, 2021
The rollout of 5G networks coupled with edge compute introduces new security concerns for both the network and the enterprise. Security at the edge presents a unique set of security challenges that differ from those faced by traditional data centers. Today new concerns emerge from the combination of distributed architectures and a disaggregated network, creating new challenges for service providers.
Many mission critical applications enabled by 5G connectivity, such as smart factories, are better off hosted at the edge because it's more economical and delivers better Quality of Service (QoS). However, applications must also be secured; communication service providers need to ensure that applications operate in an environment that is both safe and provides isolation. This means that secure designs and protocols are in place to pre-empt threats, avoid incidents and minimize response time when incidents do occur.
As enterprises adopt private 5G networks to drive their Industry 4.0 strategies, these new enterprise 5G trends demand a new approach to security. Companies must find ways to reduce their exposure to cyberattacks that could potentially disrupt mission critical services, compromise industrial assets and threaten the safety of their workforce. Cybersecurity readiness is essential to ensure private network investments are not devalued.
The 5G network architecture, particularly at the edge, introduces new levels of service decomposition now evolving beyond the virtual machine and into the space of orchestrated containers. Such disaggregation requires the operation of a layered technology stack, from the physical infrastructure to resource abstraction, container enablement and orchestration, all of which present attack surfaces which require addressing from a security perspective. So how can CSPs protect their network and services from complex and rapidly growing threats?
Addressing vulnerability points of the network layer by layer
As networks grow and the number of connected nodes at the edge multiply, so do the vulnerability points. The distributed nature of the 5G edge increases vulnerability threats, just by having network infrastructure scattered across tens of thousands of sites. The arrival of the Internet of Things (IoT) further complicates the picture: with a greater number of connected and mobile devices, potentially creating new network bridging connection points, questions around network security have become more relevant.
As the integrity of the physical site cannot be guaranteed in the same way as a supervised data center, additional security measures need to be taken to protect the infrastructure. Transport and application control layers also need to be secured, to enable forms of "isolation" preventing a breach from propagating to other layers and components. Each layer requires specific security measures to ensure overall network security: use of Trusted Platform Modules (TPM) chipsets on motherboards, UEFI Secure OS boot process, secure connections in the control plane and more. These measures all contribute to and are integral part of an end-to-end network security design and strategy.
Open RAN for a more secure solution
The latest developments in open RAN and the collaborative standards-setting process related to open interfaces and supply chain diversification are enhancing the security of 5G networks. This is happening for two reasons. First, traditional networks are built using vendor proprietary technology – a limited number of vendors dominate the telco equipment market and create vendor lock-in for service providers that forces them to also rely on vendors' proprietary security solutions. This in turn prevents the adoption of "best-of-breed" solutions and slows innovation and speed of response, potentially amplifying the impact of a security breach.
Second, open RAN standardization initiatives employ a set of open-source standards-based components. This has a positive effect on security as the design embedded in components is openly visible and understood; vendors can then contribute to such open-source projects where tighter security requirements need to be addressed.
Aside from the inherent security of the open-source components, open RAN defines a number of open interfaces which can be individually assessed in their security aspects. The openness intrinsically present in open RAN means that service components can be seamlessly upgraded or swapped to facilitate the introduction of more stringent security characteristics, or they can simultaneously swiftly address identified vulnerabilities.
Securing network components with AI
Monitoring the status of myriad network components, particularly spotting a security attack taking place among a multitude of cooperating application functions, requires resources that transcend the capabilities of a finite team of human operators. This is where advances in AI technology can help to augment the abilities of operations teams. AI massively scales the ability to monitor any number of KPIs, learn their characteristic behavior and identify anomalies – this makes it the ideal companion in the secure operation of the 5G edge. The self-learning aspect of AI supports not just the identification of known incident patterns but also the ability to learn about new, unknown and unanticipated threats.
Security by design
Security needs to be integral to the design of the network architecture and its services. The adoption of open standards caters to the definition of security best practices in both the design and operation of the new 5G network edge. The analytics capabilities embedded in edge hyperconverged infrastructure components provide the platform on which to build an effective monitoring and troubleshooting toolkit, ensuring the secure operation of the intelligent edge.
Read More