Hyper-Converged Infrastructure
Article | October 3, 2023
At last, the wait for 5G is nearly over. As this map shows, coverage is widespread across much of the U.S., in 24 EU countries, and in pockets around the globe.
The new wireless standard is worth the wait. Compared to 4G, the new wireless standard can move more data from the edge, with less latency. And connect many more users and devices—an important development given that the IDC estimates 152,000 new Internet of Things (IoT) devices per minute by 2025. Put it together, and 5G is a game-changing backhaul for public networks. (Wi-Fi 6, often mentioned in the same breath as 5G, is generally used for private WANs.
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Hyper-Converged Infrastructure, IT Systems Management
Article | September 14, 2023
Unlock Courses and HCI certifications focused on hyperconvergence providing individuals with the knowledge and skills necessary to design, deploy, and manage these advanced infrastructure solutions.
Hyperconvergence has become essential for professionals and beginners seeking to stay ahead in their careers and grow in infstructure sector. Hyperconvergence courses and certifications offer valuable opportunities to enhance knowledge and skills in this transformative technology. In this article, explore the significance of hyperconvergence courses and certifications, and how they enable professionals to become experts in designing, implementing, and managing hyperconverged infrastructure solutions.
1. Cloud Infrastructure and Services Version 4.0 (DCA-CIS)
The Dell Technologies Proven Professional Cloud Infrastructure and Services Associate (DCA-CIS) certification is an associate level certification designed to provide participants with a comprehensive understanding of the technologies, processes, and mechanisms required to build cloud infrastructure. By following a cloud computing reference model, participants can make informed decisions when building cloud infrastructure and prepare for advanced topics in cloud solutions. The certification involves completing the recommended training and passing the DEA-2TT4 exam. Exam retake policies are in place, and exam security measures ensure the integrity and validity of certifications. Candidates receive provisional exam score reports immediately, with final scores available in their CertTracker accounts after a statistical analysis. This certification equips professionals with the necessary expertise to excel in cloud infrastructure and services.
2. DCS-SA: Systems Administrator, VxRail
The Specialist – Systems Administrator, VxRail Version 2.0 (DCS-SA) certification focuses on individuals wanting to validate their expertise in effectively administering VxRail systems. VxRail clusters provide hyper-converged solutions that simplify IT operations and reduce business operational costs. This HCI certification introduces participants to the VxRail product, including its hardware and software components within a VxRail cluster. Key topics covered include cluster management, provisioning, monitoring, expansion, REST API usage, and standard maintenance activities. To attain this certification, individuals must acquire a prescribed Associate Level Certification, complete recommended training options, and pass the DES-6332 exam. This certification empowers professionals to administer VxRail systems and optimize data center operations efficiently.
3. Certified and Supported SAP HANA Hardware
One among HCI certification courses, the Certified and Supported SAP HANA Hardware program provides a directory of hardware options powered by SAP HANA, accelerating implementation processes. The directory includes certified appliances, enterprise storage solutions, IaaS platforms, Hyper-Converged Infrastructure (HCI) Solutions, supported intel systems, and supported power systems. These hardware options have undergone testing by hardware partners in collaboration with SAP LinuxLab and are supported for SAP HANA certification. Valid certifications are required at purchase, and support is provided until the end of maintenance. SAP SE delivers the directory for informational purposes, and improvements or corrections may be made at their discretion.
4. Google Cloud Fundamentals: Core Infrastructure
Google Cloud Fundamentals: Core Infrastructure is a comprehensive course introducing essential concepts and terminology for working with Google Cloud. It provides an overview of Google Cloud's computing and storage services and resource as well as policy management tools. Through videos and hands-on labs, learners will gain the knowledge and skills to interact with Google Cloud services, choose and deploy applications using App Engine, Google Kubernetes Engine, and Compute Engine, and utilize various storage options such as cloud storage, Cloud SQL, Cloud Bigtable, and Firestore. This beginner-level course is part of multiple specialization and professional certificate programs, including networking in Google Cloud and developing applications with Google Cloud. Upon completion, learners will receive a shareable certificate. The course is offered by Google Cloud, a trusted provider of innovative cloud technologies designed for security, reliability, and scalability.
5. Infrastructure and Application Modernization with Google Cloud
The ‘Modernizing Legacy Systems and Infrastructure with Google Cloud’ course addresses the challenges faced by businesses with outdated IT infrastructure and explores how cloud technology can enable modernization. It covers various computing options available in the cloud and their benefits, as well as application modernization and API management. The course highlights Google Cloud solutions like Compute Engine, App Engine, and Apigee that assist in system development and management. By completing this beginner-level course, learners will understand the benefits of infrastructure and app modernization using cloud technology, the distinctions between virtual machines, containers, and Kubernetes, and how Google Cloud solutions support app modernization and simplify API management. The course is offered by Google Cloud, a leading provider of cloud technologies designed for security, reliability, and scalability. Upon completion, learners will receive a shareable certificate.
6. Oracle Cloud Infrastructure Foundations
One of the HCI certification courses, the ‘OCI Foundations Course’ is designed to prepare learners for the Oracle Cloud Infrastructure Foundations Associate Certification. The course provides an introduction to the OCI platform and covers core topics such as compute, storage, networking, identity, databases, and security. By completing this course, learners will gain knowledge and skills in architecting solutions, understanding autonomous database concepts, and working with networking and observability tools. The course is offered by Oracle, a leading provider of integrated application suites and secure cloud infrastructure. Learners will have access to flexible deadlines and will receive a shareable certificate upon completion. Oracle's partnership with Coursera aims to increase accessibility to cloud skills training and empower individuals and enterprises to gain expertise in Oracle Cloud solutions.
7. Designing Cisco Data Center Infrastructure (DCID)
The 'Designing Cisco Data Center Infrastructure (DCID) v7.0' training is designed to help learners master the design and deployment options for Cisco data center solutions. The course covers various aspects of data center infrastructure, including network, compute, virtualization, storage area networks, automation, and security. Participants will learn design practices for Cisco Unified Computing System, network management technologies, and various Cisco data center solutions. The training provides both theoretical content and design-oriented case studies through activities. By completing this training, learners can earn 40 Continuing Education credits and prepare for the 300-610 Designing Cisco Data Center Infrastructure (DCID) exam. This certification equips professionals with the knowledge and skills necessary to design scalable and reliable data center environments using Cisco technologies, making them eligible for professional-level job roles in enterprise-class data centers. Prerequisites for this training include foundational knowledge in data center networking, storage, virtualization, and Cisco UCS.
Final Thoughts
Mastering infrastructure in the realm of hyperconvergence is essential for IT professionals seeking to excel in their careers and drive successful deployments. Courses and HCI certifications focused on hyperconvergence provide individuals with the knowledge and skills necessary to design, deploy, and manage these infrastructure modernization solutions. By acquiring these credentials, professionals can validate their expertise, stay up-to-date with industry best practices, and position themselves as valuable assets in the rapidly evolving landscape of IT infrastructure.
These courses and certifications offer IT professionals the opportunity to master the intricacies of this transformative infrastructure approach. By investing in these educational resources, individuals can enhance their skill set, broaden their career prospects, and contribute to the successful implementation and management of hyperconverged infrastructure solutions.
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Hyper-Converged Infrastructure, Windows Systems and Network
Article | July 11, 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, Application Infrastructure
Article | May 17, 2023
Firms face challenges with managing their resources, and ensuring security & cost optimization, adding complexity to their operations. IaaS solves this need to maintain and manage IT infrastructure.
Contents
1. Infrastructure as a Service: Future of Cloud Computing
2. Upcoming Trends in IaaS
2.1 The Rise of Edge Computing
2.2 Greater Focus on Security
2.3 Enhancement in Serverless Architecture
2.4 Evolution of Green Computing
2.5 Emergence of Containerization
3. Final Thoughts
1. Infrastructure as a Service: Future of Cloud Computing
As digital transformation continues to reshape the business landscape, cloud computing is emerging as a critical enabler for companies of all sizes. With infrastructure-as-a-service (IaaS), businesses can outsource their hardware and data center management to a third-party provider, freeing up resources and allowing them to focus on their core competencies, reducing operational costs while maintaining the agility to adapt to changing market conditions.
With the increasing need for scalable computing solutions, IaaS is set to become a pivotal player in shaping the future of computing. IaaS is already emerging as a prominent solution for organizations looking to modernize their computing capabilities. This article will delve into the recent trends of IaaS and its potential impact on the computing industry, implying why IaaS is important for emerging businesses.
2. Upcoming Trends in IaaS
2.1 The Rise of Edge Computing
The rise in IoT and mobile computing has led to a challenge in the amount of data that can be transferred across a network in a certain period.
Due to its many uses, such as improving reaction times for self-driving cars and safeguarding confidential health information, the market for edge computing infrastructure is expected to reach a value of $450 billion.
(Source: CB Insights)
Edge computing is a technology that enables data processing to occur closer to its origin, thereby reducing the volume of data that needs to be transmitted to and from the cloud.
A mesh network of micro data centers that process or store critical data locally and push all received data to a central data center or cloud storage repository in a footprint of less than 100 square feet.
(Source: IDC)
Edge computing represents the fourth major paradigm shift in modern computing, following mainframes, client/server models, and the cloud. A hybrid architecture of interconnected IaaS services allows for low latency through edge computing and high performance, security, and flexibility through a private cloud. Connecting edge devices to an IaaS platform streamlines location management and enables remote work, thus looking forward to smoother future of IaaS.
An edge layer (fog computing) is required to optimize the architecture model with high-speed and reliable 5G connectivity, connecting edge devices with the cloud. This layer acts as autonomous distributed nodes, capable of analyzing and acting on real-time data. Doing so sends only the data required to the central infrastructure in an IaaS instance. By combining the advantages of edge computing in data capture with the storage and processing capabilities of the cloud, companies can take full advantage of the benefits of data analytics to leverage their innovation and optimization capabilities while simultaneously and effectively managing IoT devices on the edge.
IoT devices, also known as edge devices, possess the ability to analyze data in real time through the use of AI, ML, and algorithms, even in the absence of an internet connection. This technology yields numerous advantages, including superior decision-making, early detection of issues, and heightened efficiency. However, an IaaS infrastructure with top-notch computing and storage capabilities is an absolute necessity to analyze the data effectively.
2.2 Greater Focus on Security
Hackers might use cloud-based services to host malware through malware-as-a-service (MaaS) platforms or to distribute malware payloads using cloud-based apps and services. In addition, organizations often need more than they can secure in their IaaS footprint, leading to increased misconfigurations and vulnerabilities. Recognizing and reacting to an attack is called reactive security, whereas anticipating a dangerous event before it happens and intervening to prevent it is predictive safety. Predictive security is the future of cloud security.
The cybersecurity mesh involves setting up a distributed network and infrastructure to create a secure perimeter. This allows companies to centrally manage access to their data while enforcing security policies across the distributed network. It is a critical component of the Zero-Trust architecture. A popular IaaS cloud security trend is the multi-cloud environment. Multi-cloud proves effective when tools like security information and event management (SIEM) and threat intelligence are deployed.
DevSecOps is a methodology that incorporates security protocols at every stage of software development lifecycle (SDLC). This makes it convenient to deal with threats during the lifecycle itself. Since deploying DevOps, software releases have been shortened for every product release. DevSecOps proves to be secure and fast only with a fully automated software development lifecycle. The DevOps and security teams must collaborate to provide massive digital transformation and security. Digital services and applications need stronger and better security in exponential amounts. This methodology must be enforced in a CI/CD pipeline to make it a continuous process.
Secure access service edge (SASE) is a cloud-based architecture that integrates networking and software-as-a-service (SaaS) functions, providing them as a unified cloud service. The architecture combines a software-defined wide area network (SD-WAN) or other WAN with multiple security capabilities, securing network traffic.
2.3 Enhancement in Serverless Architecture
Serverless architecture apps are launched on demand when an event triggers the app code to run. The public cloud provider then assigns the resources necessary for the operation to occur. With serverless apps, containers are deployed and launched on demand when needed. This differs from the traditional IaaS cloud computing model, where users must pre-purchase capacity units for always-on server components to run their apps.
The app will incur minimal charges during off-peak hours with a serverless model. When there is a surge in traffic, it can scale up seamlessly through the provider without requiring DevOps involvement. A serverless database is a type of database that operates as a fully managed database-as-a-service (DBaaS). It automatically adjusts its computing and storage resources to match the demand, making it convenient for users. A serverless database is a cloud based service that eliminates the need to manage infrastructure, scaling, and provisioning. It allows developers to concentrate on constructing applications or digital products without the burden of managing servers, storage, or backups.
2.4 Evolution of Green Computing
In promoting green computing, infrastructure-as-a-service plays a significant role by allowing cloud providers to manage the infrastructure. This helps reduce the environmental impact and boosts efficiency by intelligently utilizing servers at high utilization rates. As a result, studies show that public cloud infrastructure is typically 2-4 times more efficient than traditional data centers, a giant leap forward for sustainable computing practices.
2.5 Emergence of Containerization
Containerization is a type of operating system virtualization where applications are executed in distinct user spaces called containers. These containers operate on the same shared operating system, providing a complete, portable computing environment for virtualized infrastructure. Containers are self-contained software packages operating in any environment, including private data centers, public clouds, or developer laptops. They comprise all the necessary components required for the right functioning of IaaS-adopted cloud computing.
3. Final Thoughts
With the expansion of multi-cloud environments, the emergence of containerization technologies like Docker and Kubernetes, and enhancements in serverless databases, IaaS is poised to become even more powerful and versatile in meeting the diverse computing needs of organizations. These advancements have enabled IaaS providers to offer a wide range of services and capabilities, such as automatic scaling, load balancing, and high availability, making it easier for businesses to build, deploy, and manage their applications swiftly in the cloud.
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