Edge Computing with Amazon Web Services : A Practical Guide to Architecting Secure Edge Cloud Infrastructure with AWS / Sean Howard.

Format:

Book

Author/Creator:

Howard, Sean, 1965- author.

Language:

English

Subjects (All):

Amazon Web Services (Firm).

Edge computing.

Cloud computing.

Physical Description:

1 online resource (378 pages)

Edition:

First edition.

Place of Publication:

Birmingham, UK : Packt Publishing, [2024]

System Details:

Mode of access: World Wide Web.

Biography/History:

Howard Sean: Sean Howard is a principal solutions architect (SA) at Amazon Web Services (AWS). He's held several roles at AWS, including partner SA, SA manager, and now, principal SA, supporting aerospace and satellite customers in EMEA. Before AWS, he spent seven years at VMware as a network virtualization specialist. Before that, he spent a number of years in operations at the worlds second largest DNS registrar. His introduction to IT came during his time in the US Marines, where he worked on shipboard and field-deployed networks. He holds a bachelor of science in computer information systems from Excelsior College, as well as a number of technology certifications, such as the VMware VCDX (#130).

Summary:

Build scalable, cost-effective, high-performance, and secure architectures using AWS Outposts, AWS Local Zones, AWS Wavelength, and AWS Snow services along guided by best practices and practical examples Key Features Take advantage of the opportunities and challenges arising from the exponential growth of connected devices Use AWS edge compute services to extend your applications to wherever they are needed Follow guided tutorials for building an IIoT gateway and a distributed edge application with AWS services Purchase of the print or Kindle book includes a free PDF eBook Book Description The surge in connected edge devices has driven organizations to capitalize on the opportunities presented by the massive amounts of data generated by these devices. However, adapting to this landscape demands significant changes in application architectures. This book serves as your guide to edge computing fundamentals, shedding light on the constraints and risks inherent in selecting solutions within this domain. You'll explore an extensive suite of edge computing services from AWS, gaining insights into when and how to use AWS Outposts, AWS Wavelength, AWS Local Zones, AWS Snow Family, and AWS IoT Greengrass. With detailed use cases, technical requirements, and architectural patterns, you'll master the practical implementation of these services and see how they work in real life through step-by-step examples, using the AWS CLI and AWS Management Console. To conclude, you'll delve into essential security and operational considerations to maximize the value delivered by AWS services. By the end of this book, you'll be ready to design powerful edge computing architectures and handle complex edge computing use cases across multiple AWS services. What you will learn Overcome network challenges faced at the near and far edge Leverage services in over 450 points of presence at the edge of the AWS global backbone Deploy edge solutions in disconnected scenarios using AWS Snow Family Build multi-access edge (MEC) solutions with 5G and AWS Wavelength Reduce latency for your users with AWS Local Zones Configure AWS Snowcone as an IIoT gateway with AWS IoT Greengrass Extend your AWS VPC into your on-premise data center with AWS Outposts Deploy distributed applications for core, near, and far edge cloud services Who this book is for This book is designed for cloud architects, cloud engineers, solutions architects, and IoT architects tasked with building edge compute solutions using AWS. If you want to master the full range of edge computing services offered by AWS, this book is for you. A basic understanding of AWS services and networking is assumed.

Contents:

Cover

Title Page

Copyright and Credits

Contributors

Table of Contents

Preface

Part 1: Compute, Network, and Security Services at the Edge

Chapter 1: Getting Started with Edge Computing on AWS

The intersection of cloud and edge computing

Physics

Economics

Regulatory compliance

Inertia

The AWS edge computing strategy

Disconnected, denied, intermittent, or low-bandwidth

Multi-access edge computing

Immersive experiences

IIoT

Overview of the AWS edge computing toolbox

Localized AWS infrastructure and services

Developer tools and resources

Security and compliance

Consistent experience

Architectural guidance

Summary

Chapter 2: Understanding Network and Security for Near-Edge Computing

Understanding internet challenges

The impact of latency and packet loss

Causes of packet loss on the internet

TCP receive window (RWIN)

User Datagram Protocol (UDP)

Using a private wide-area network (WAN)

Multiprotocol Label Switching (MPLS)

Software-defined networking (SDN)

Software-defined WAN (SD-WAN)

Optimizing ingress with global server load balancing (GSLB)

Internet Control Message Protocol (ICMP) triangulation

IP geolocation database

Custom rules

Steering traffic at the network layer with IP Anycast

Addressing TCP issues with HTTP/3 and QUIC

Upsides of HTTP/3 and QUIC

Downsides of HTTP/3 and QUIC

Current status

Securing networks at the near edge

Identity and Access Management (IAM)

Encryption

Secure communication protocols

Device hardening

Network segmentation

Monitoring and logging

Security updates and vulnerability management

Physical security

Incident response and disaster recovery

Training and awareness

Chapter 3: Understanding Network and Security for Far-Edge Computing.

Introduction to radio frequency (RF) communications

Frequency and wavelength

Antennas

Modulation

Duplexing

Multipath propagation

Multiplexing

Utilizing cellular networks

4G/LTE

5G

Cellular Vehicle-to-Everything (C-V2X)

Narrow-Band IoT (NB-IoT)

Optimizing Wi-Fi (802.11x)-based connectivity

Wi-Fi-1 through Wi-Fi-6

Modulation and coding schemes (MSCs)

Spatial streams

WiFi and MIMO

MU-OFDMA

802.11p (DSRC)

Connecting to low-powered devices with LoRaWAN

LoRa

Long range wide area network (LoRaWAN)

LoRaWAN network topology

Direct communication between devices

Geolocation

LoRaWAN device classes

Integrating SATCOM

SATCOM frequency bands

Satellite orbits

Global Navigation Satellite System (GNSS)

Part 2: Introducing AWS Edge Computing Services

Chapter 4: Addressing Disconnected Scenarios with AWS Snow Family

Introduction to the AWS Snow Family

Using AWS Snowball Edge

Migrating data to the cloud

Physical networking

Logical networking

Storage allocation

Using AWS Snowcone

Wi-Fi

Power supply

Data transfer targets

Chapter 5: Incorporating AWS Outposts into Your On-Premises Data Center

Introducing AWS Outposts

Using AWS Outposts Rack

Use cases

Ordering an AWS Outposts rack

Physical elements

Available services

High availability (HA)

Security

Using AWS Outposts Server

Ordering

Service link

Logical network interfaces (LNIs)

High Availability (HA)

Service availability

Storage

Chapter 6: Lowering First-Hop Latency with AWS Local Zones

Introduction to AWS Local Zones

Customer needs

AWS Outposts versus AWS Local Zones

AWS Dedicated Local Zones

AWS Local Zones pricing

Latency to AWS Local Zones.

Opting into AWS Local Zones

Connecting on-premises networks to AWS Local Zones

AWS Direct Connect

Routing internet traffic into AWS Local Zones

Application Load Balancer

Amazon Route53 for load balancing

AWS Local Zone as primary with parent region as secondary

Using AWS Global Accelerator

Traffic between AWS Local Zones

Chapter 7: Using AWS Wavelength Zones on Public 5G Networks

Introduction to AWS Wavelength Zones

Comparing AWS Wavelength deployments across global carriers

Connecting to AWS Wavelength from mobile devices

Enabling AWS Wavelength Zones

Carrier gateways

Edge Discovery Service (EDS)

Extending a VPC into AWS Wavelength

Communication between AWS Wavelength Zones

Communicating to AWS endpoints

Integrating AWS Wavelength with other services

EC2 instances

Amazon ECS

Amazon EKS

Service pricing

Part 3: Building Distributed Edge Architectures with AWS Edge Computing Services

Chapter 8: Utilizing the Capabilities of the AWS Global Network at the Near Edge

Overview of the AWS Global Network

AWS Global Network

Processing at the near edge with Amazon CloudFront

Content distribution

Regional edge caches (RECs)

Amazon CloudFront Embedded POPs

HTTP/3 and QUIC

AWS Lambda@Edge

Amazon CloudFront functions

Leveraging IP Anycast with AWS Global Accelerator

TCP termination

Endpoint groups

Using the AWS global backbone as a private WAN

AWS Cloud WAN

Chapter 9: Architecting for Disconnected Edge Computing Scenarios

Overview of DDIL

Using AWS IoT services in DDIL scenarios

The AWS Snow family as an IoT gateway

Embedded Linux devices as IoT gateways

Tactical edge

Forward deployment of the AWS Snow family

EKS-A.

Forward deployment of AWS Outposts

Private 5G and DDIL

Using AWS Snowball Edge to host a private 5G core

Chapter 10: Utilizing Public 5G Networks for Multi-Access Edge (MEC) Architectures

Overview of architecting 5G-based MEC solutions

Public MEC

Private MEC

Observability, security, and capacity of Wi-Fi versus 5G

Observability

Capacity

Computer Vision

V2X

ISA devices

AWS IoT FleetWise

Software-defined video production

Chapter 11: Addressing the Requirements of Immersive Experiences with AWS

Overview of immersive experiences

Virtual Reality (VR)

Augmented Reality (AR)

Mixed Reality (MR)

XR development platforms

Online gaming with Unity

Dedicated servers

Game clients

Pixel streaming

Amazon GameLift plugin for Unity

Connected workers

Mobile edge computing (MEC) and connected workers

Workforce development and training

AR-enhanced sporting events

AR-integrated live video

Part 4: Implementing Edge Computing Solutions via Hands-On Examples and More

Chapter 12: Configuring an AWS Snowcone Device to Be an IOT Gateway

Ordering an AWS Snowcone device

Step 1 - Creating an S3 bucket

Step 2 - Creating a new job

Step 3 - Selecting the job type

Step 4 - Choosing a form factor

Step 5 - Selecting optional components

Step 6 - Setting encryption options

Step 7 - Confirming your selections

Step 8 - Saving output files

Step 9 - Setting up the physical environment

Deploying the backend in your AWS account

Step 1 - Installing and configuring AWS CLI v2

Step 2 - Cloning the code repository from GitHub

Step 3 - Copying the code repository to your S3 bucket

Step 4 - Deploying the CloudFormation templates.

Step 5 - Retrieving outputs from CloudFormation and passing them to environment variables

Step 6 - Configuring the AWS IoT Greengrass v2 service policy on your account

Preparing the device with the Snowball Edge CLI

Step 1 - Installing the AWS Snow CLI client

Step 2 - Configuring the AWS Snow CLI

Step 3 - Unlocking your Snow device with the CLI

Step 4 - Retrieving the output of the unlocking procedure

Step 5 - Creating a virtual network interface

Step 6 - Obtaining local credentials from your Snow device

Step 7 - Retrieving the certificate from your Snow device

Step 8 (optional) - Adding the EC2 endpoint URL to your AWS CLI config file

Configuring AWS IoT Greengrass on the Snow device

Step 1 - Creating an EC2 keypair on the Snow device

Step 2 - Obtaining the ImageId value from your Snow device

Step 3 - Launching the EC2 instance on your Snow device

Step 4 - Attaching the VNI to your EC2 instance

Step 5 - SSHing into your EC2 instance

Step 6 - Installing the AWS IoT Greengrass prerequisites into your EC2 instance

Step 7 - Installing the AWS IoT Greengrass v2 agent onto your EC2 instance

Walkthrough of what you've created

Controlling your EC2 instance remotely

Exploring the Greengrass components on your device

Chapter 13: Deploying a Distributed Edge Computing Application

Deploying a distributed EKS cluster with Terraform

Architecture

Components

Cost

Setting up your environment

Deploying the EKS cluster

Using Terraform to push a distributed application

Deploying the distributed application

Testing the application from multiple sources

Checking the user experience from your desktop/laptop

Checking the user experience from your mobile device

Cleanup

Notes

Summary.

Chapter 14: Preparing for the Future of Edge Computing with AWS.

Notes:

Description based upon print version of record.

Storage allocation

Includes bibliographical references and index.

Description based on print version record.

ISBN:

9781835085240

1835085245

OCLC:

1420630324