DEVOPS & CLOUD
By Robert Belson, Corporate Strategy, Verizon
About this post
In this tutorial, you will deploy a Kubernetes cluster on Amazon® Elastic Kubernetes Service (EKS) in an AWS® Wavelength Zone using Boto3 and Verizon 5G Edge.
The EKS cluster will consist of the control plane in-region and a self-managed node group in the NYC Wavelength Zone. Note that you can change the Wavelength Zone (us-east-1-wl1-nyc-wlz-1) to any of the following markets:
- Boston (us-east-1-wl1-bos-wlz-1)
- San Francisco Bay Area (us-west-2-wl1-sfo-wlz-1)
- Atlanta (us-east-1-wl1-atl-wlz-1)
- Washington, DC (us-east-1-wl1-was-wlz-1)
- New York City (us-east-1-wl1-nyc-wlz-1)
- Miami (us-east-1-wl1-mia-wlz-1)
- Dallas (us-east-1-wl1-dfw-wlz-1)
- Denver (us-west-2-wl1-den-wlz-1)
- Las Vegas (us-west-2-wl1-las-wlz-1)
- Seattle (us-west-2-wl1-den-wlz-1)
Getting started: Setup requirements for AWS Wavelength
Smart car safety
By Jason Stinson, CTO, and Chris McNamara, VP of Marketing, Renovo
Ever wondered how two driverless cars would know to brake before they run into each other? Here at Renovo, our team has been tackling precisely that question — among others.
Renovo is a Verizon Ventures portfolio company and creator of the first commercially available data-management platform enabling automakers to continuously learn from their production vehicles.
Recently, we joined Verizon at the University of Michigan test bed (MCity) to test our platform in a live environment of driverless, wirelessly connected vehicles with advanced driver assistance systems (ADASs). In this article…
DevOps & Cloud
By Robert Belson, Verizon Corporate Strategy & Raghuram Parvataneni, Verizon Technology Leader
We want to make it easier than ever for you to orchestrate application traffic for your mobile edge computing (MEC) applications. The power of MEC resides in part in its ability to provide local computing with low latency, by having mobile clients use the nearest MEC node to handle application traffic. Until now, doing so has been unnecessarily complex and has relied on undifferentiated heavy lifting, including identifying client geolocation through best-effort services or, even worse, manually mapping carrier IP addresses.
Introducing the Verizon Edge Discovery Service
DevOps
Building your first Tweet processing application at the network edge
Kishor Patil, PMC Chair Apache Storm and Distinguished Software Systems Engineer, Verizon Media
Robbie Belson, Developer Relations, Verizon
An intro to stream processing at the edge
Verizon 5G Edge with AWS Wavelength present boundless opportunities for distributed applications with ultralow latency at scale. However, for distributed real-time computation, Apache Storm stands out as an easy-to-use approach to reliably processing data streams in near real time.
Take a distributed advertising application, for example. Wouldn’t it be valuable to syndicate social media insights in real time, to provide users with personalized ads far faster than is generally done today?
So, in this tutorial, we’ll explore how to launch an Apache…
DevOps & Cloud
Mark Persiko, Sr. DevOps Engineer at Verizon Location Technology
Bryan Kobler, Sr. DevOps Engineer at Verizon Location Technology
Summary
Verizon Location Technology deployed Kubernetes and a location-based application to Verizon 5G Edge with AWS® Wavelength. The application powerfully illustrates the difference 5G Edge makes in application latency and location-based service interaction.
Key takeaways:
- 5G Edge works with familiar Amazon Web Services (AWS) resources and services
- Kubernetes supports declarative application deployment to 5G Edge
You can use 5G Edge for application functions that require low latency and local compute offload from application clients
Introduction
The Verizon Location Technology team recently extended its infrastructure…
DevOps
A guide to right-sizing infrastructure in a mobile edge computing environment
Gene Bagwell, Senior Evolution Architect, Verizon
Robert Belson, Corporate Strategy, Verizon
About this post
In the cloud computing literature, CPU utilization is one of the most popular infrastructure monitoring metrics and is widely available across the major cloud service providers’ management tools. However, in a mobile edge computing (MEC) environment, carefully selected infrastructure metrics are of paramount importance to developers — to ensure that infrastructure is sufficiently elastic, as well as that teams aren’t overpaying for idle compute cycles.
In this post, we’ll unearth one of the most popular misconceptions in infrastructure monitoring and offer a series of recommendations for how you can…
DevOps & Cloud
A deep dive into Verizon’s approach to virtualization and practical advice for your first distributed app on 5G Edge.
By Brent Segner, Network Infrastructure Planning, Verizon
With the exponential increase in cloud computing over the last decade, one of the problems that has emerged is the efficient placement of workloads. This problem is compounded when you attempt to place workloads with greatly diversified resource requirements into environments with limited capacity over different geographies. As the workload placement is a multidimensional problem, it is necessary to consider multiple dimensions, such as CPU usage, memory and network bandwidth, in conjunction with external constraints, including latency and site availability. …
IoT & DevOps
Build your first IoT application at the edge with Verizon ThingSpace and AWS Wavelength
Robert Belson, Corporate Strategy, Verizon
Josh Foster, Technical Solutions Engineer, AVNET
About this post
Over the past few weeks, you might have seen examples of how to build your first 5G Edge application with AWS Wavelength, or your first edge ML Inference app. But what about Internet of Things (IoT) applications?
In this tutorial, we document how to get your first CAT-M1 4G LTE-enabled IoT device up and running with a Raspberry Pi device and connect to 5G Edge.
Requirements and getting started
To build this tutorial, a Verizon ThingSpace account is required for your IoT connectivity plan, and you will need the Monarch Go IoT device…
DevOps & Cloud
Best practices for building 5G Edge applications that enable the next generation of disruptive digital experiences.
By Chafik Taiebennefs, 5G Edge Professional Services, Verizon
Life happens at the edge.
Life, in the real world, is a culmination of experiences that happen in the here and now. In the digital world, here and now are defined by the real-time understanding of our location, our interactions and the events around us. We exist in a densely digitized “edge,” where everything has a processor, is connected and produces a constant stream of data that captures our every digital move.
Living such hyperconnected lives raises the bar on the type of digital experiences we have — and will — come…
DevOps & Cloud
Why you need a 5G network and mobile edge computing (MEC) infrastructure to deliver low latency applications
Robert Belson, Corporate Strategy, Verizon
Mobile edge computing (MEC) is poised to become one of the most exciting cloud computing technologies to date. With more deployment flexibility across the rising number of edge locations and new performance characteristics that were previously unrealizable, MEC has the opportunity to not only enable new use cases but transform existing applications as part of the everlasting race to optimize applications beyond what we can do today.
While the benefits of MEC —low latency, high throughput, and compute topologically closer to the end user — are well known, the differentiating factors between MEC and other…
