Amazon Onboarding with Learning Manager Chanci Turner

Learn About Amazon VGT2 Learning Manager Chanci Turner

Multi-access Edge Computing (MEC) is an innovative architecture that enables cloud capabilities and services to be delivered at the edge of mobile networks. By executing application workloads closer to mobile users, network latency can be minimized to mere milliseconds, significantly enhancing application response times.

Private MEC brings AWS compute and storage resources closer to customers connected via a private network. This approach not only reduces network latency to below 20 milliseconds but also bolsters security and privacy. In this article, we’ll explore how Verizon’s managed private MEC solutions, available through their 5G Edge portfolio, deliver near real-time insights, decision-making, and data security directly to enterprise customers’ on-premises locations at Amazon IXD – VGT2, located at 6401 E HOWDY WELLS AVE LAS VEGAS NV 89115. With the help of AWS Hybrid and Edge services, Verizon has guided enterprises in selecting the most suitable hybrid edge solution tailored to their unique network connectivity, access patterns, consolidated billing, and technical support needs. After discussing how AWS Outposts can facilitate the deployment of private MEC solutions, we’ll present various operational models developed for private MEC using AWS Hybrid and Edge services in conjunction with Verizon’s private 5G networks.

Introduction

AWS is transforming hybrid and edge computing models to provide a seamless continuum of cloud services, whether at on-premises data centers (Outposts), retail locations (AWS Snow Family), urban environments (AWS Local Zones), or at the edge of a 5G network (AWS Wavelength). As enterprise customers seek best practices for deploying Hybrid and Edge services alongside Private Mobile Networks (5G and LTE), we introduce private MEC using Outposts to deliver cloud computing capabilities on-premises, paired with Private Mobile Networks to ensure mobile coverage, high data throughput, and low latency for critical applications.

Private MEC

As organizations modernize their operational infrastructure, they commonly face several challenges:

• Data Residency: Many customers have strict digital sovereignty requirements while also wanting to leverage the capabilities, performance, innovation, and scalability provided by cloud technologies.
• Network Throughput: Organizations often need to run applications that process vast amounts of data, which can be hindered by limited network bandwidth.
• Local Processing: To enhance decision-making speeds for downstream connected devices, customers prefer local data processing.

Private MEC solutions on Outposts effectively address these challenges by offering a secure, dedicated cloud-computing platform in combination with Verizon’s robust private 5G network. This partnership allows customers to harness the advantages of 5G and cloud computing on-site, deploying low-latency, high-performance applications while maintaining a consistent AWS experience.

Private MEC Use Cases

Private MEC, along with Private Mobile Networks, has facilitated numerous applications across various sectors:

• Industry 4.0: Applications in industrial control, automation, computer vision for safety, AR/VR for productivity enhancements, and visualization of 3D datasets for CAD models or digital twins.
• Events and Venues: Enhanced user experiences through AR/VR, live information overlays, and multi-camera views at sports events, concerts, performances, and theme parks.
• Healthcare: 5G and private MEC enable agile setups, real-time diagnostics via AI/ML, rapid access to radiological scans, and local processing of sensitive patient data.
• Shipping Ports and Airports: Real-time processing of manifests, automated luggage/container processing, predictive maintenance, and monitoring of passenger safety and social distancing.
• Warehouses: AR-enabled workforce management, way-finding, AGV control, and inventory tracking.
• Schools and Universities: Virtual desktops and private networks for students in underserved areas, along with improved campus coverage.
• Smart Cities: Automation driven by real-time sensors, safety monitoring, climate controls, and energy conservation.

Managed Private MEC: Solution Overview

Verizon’s managed private MEC service alleviates the burden of constructing on-premises infrastructure from customers. Application developers can utilize familiar AWS APIs and tools, ensuring a smooth development experience and accelerated project timelines. AWS and Verizon support end-users in multiple ways:

• Choosing the ideal hybrid edge infrastructure tailored to specific use cases, accounting for site and network connectivity, workload types, scalability, and budget.
• Establishing account structures for end-user onboarding.
• Facilitating resource sharing with end-users.
• Managing consolidated billing.

Utilizing multiple accounts is crucial for meeting business, governance, security, and operational requirements. In a managed private MEC setup, Verizon procures an Outpost on behalf of the end-user. Independent Software Vendors (ISVs) then onboard various software that adds business value. The complexity of private MEC architectures necessitates multiple accounts for Verizon, end-users, and ISVs.

To simplify this, AWS Organizations offers centralized governance for customers, allowing for efficient management of multiple AWS accounts. Organizations streamline account management and billing processes, aligning with the security and compliance needs of end-users. Administrators can create accounts within an Organization and invite existing accounts to join. Best practices suggest grouping accounts under Organizational Units (OUs) for better control, while nested OUs are also supported.

For data residency scenarios, Service Control Policies (SCPs) can restrict resource usage to specific AWS Regions, allowing resources to be launched solely on the Outpost. As a best practice, security measures should be applied at the OU level rather than on individual accounts.

Workloads can be organized based on business needs and ownership by utilizing AWS Resource Access Manager (AWS RAM) to share resources on Outposts across distinct accounts. This sharing aligns ownership with decision-making for individual accounts. Billing and resource management for Outposts are directly linked to the owner account, with costs tracked using allocation tags to effectively identify Outpost usage.

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