Edge Computing Patterns for Solution Architects : Learn Methods and Principles of Resilient Distributed Application Architectures from Hybrid Cloud to Far Edge

Edge Computing Patterns for Solution Architects Learn Methods and Principles of Resilient Distributed Application Architectures from Hybrid Cloud to Far Edge

Master edge computing architectures, unlock industry-specific patterns, apply proven best practices, and progress from basics to end-to-end solutions Key Features Unlock scalable edge solutions by mastering proven archetypes for real-world success Learn industry-specific patterns, tailoring solution...

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Bibliographic Details
Other Authors: Iyengar, Ashok, author (author), Pearson, Joseph, author
Format: eBook
Language:Inglés
Published: Birmingham, England : Packt Publishing [2024]
Edition:First edition
Subjects:
Edge computing.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009799144006719
Table of Contents:
  • Cover
  • Title Page
  • Copyright and Credits
  • Contributors
  • Table of Contents
  • Preface
  • Part 1: Overview of Edge Computing as a Problem Space
  • Chapter 1: Our View of Edge Computing
  • Suggested pre-reading material
  • Speaking like an edge native
  • What is the edge?
  • Are the edge and the cloud extremes of the same thing?
  • How does edge computing bring value, and why now?
  • Which edge? Categorizing edges
  • The user edge - field-deployed compute
  • The SP edge - regional compute
  • Your computer or mine? Tactics for service deployment
  • Edge computing doesn't require dedicated resources
  • Single device, running multiple applications simultaneously
  • Single device, alternating applications by schedule or purpose
  • Hosted edge infrastructure - applications on shared compute
  • Cloud-out versus edge-in
  • Looking deeper at cloud-out architectures
  • Delving into edge-in architectures
  • Introducing archetype patterns
  • What is an archetype?
  • The days of software creation
  • Deploying archetype patterns
  • Summary
  • Chapter 2: Edge Architectural Components
  • Edge components
  • Functional requirements
  • Sensing
  • Inferencing
  • Analytics
  • Data
  • Non-functional requirements
  • Security
  • Service management and operations
  • Edge use cases and patterns
  • Edge device specifications and protocols
  • Architectural decisions
  • Grouping edge ADs
  • Cloud
  • Network
  • Server/cluster
  • Device
  • Summary
  • Part 2: Solution Architecture Archetypes in Context
  • Chapter 3: Core Edge Architecture
  • Suggested pre-reading material
  • What is legacy IoT architecture?
  • A bit of history
  • Purpose and promise
  • Fundamental drawbacks
  • Device configuration
  • Rationale
  • Architectural element categories
  • Edge devices versus edge hub
  • Reviewing the pattern
  • Self-propelled inspection robot example
  • Containers.
  • Disconnected operations
  • Summary
  • Chapter 4: Network Edge Architecture
  • Definitions
  • NFV
  • NFV considerations
  • SDN
  • VNF, NFV, SDN, and edge computing
  • Underlay and overlay networks
  • Network traffic management
  • MEC
  • Network edge architecture
  • RAN
  • CSPs and hyperscalers
  • Sample architectures
  • Manufacturing scenario
  • Healthcare scenario
  • Campus network scenario
  • Summary
  • Chapter 5: End-to-End Edge Architecture
  • IT and OT convergence
  • AI and edge computing
  • Industrial edge scenario
  • Manufacturing scenario
  • Retail edge scenario
  • Retail store scenario
  • Network slicing
  • Example scenario
  • Edge reference architecture
  • The cloud
  • The network
  • The edge
  • Edge and distributed cloud computing
  • Distributed cloud computing
  • The scenario
  • Summary
  • Part 3: Related Considerations and Concluding Thoughts
  • Chapter 6: Data Has Weight and Inertia
  • Suggested pre-reading material
  • Data encryption
  • Motivations for encrypting data
  • Protecting data without making it difficult to use
  • Ensuring that data modifications are noticeable
  • Data storage and management
  • Strategies for defining and enforcing data policies
  • Usage options ranging from real to synthetic data
  • Rules of thumb for retaining data, or not
  • Using data to build machine learning (ML) models
  • The promise of foundation models
  • How small and efficient can we make models?
  • Customizing existing models for each deployment
  • Using general-purpose platforms rather than single-purpose applications
  • Connectivity and the data plane
  • Optimizing data availability without connectivity
  • Aggregating data versus keeping it distributed
  • Migrating data files automatically
  • Summary
  • Chapter 7: Automate to Achieve Scale
  • Automating service delivery
  • DevOps
  • Infrastructure as code
  • Extending automation to the edge.
  • Developing edge applications
  • Scalability with automation
  • Prepping an edge device
  • Prepping an edge cluster
  • Operational security
  • Limiting physical access
  • Limiting connectivity
  • Trusted hardware and provisioning
  • Trusted data
  • Trusted compute
  • Tactical Edge
  • Automation with AI
  • LLMs and generative AI
  • Using AI in automation
  • Summary
  • Chapter 8: Monitoring and Observability
  • Monitoring and observability
  • How monitoring works
  • How observability works
  • How network observability works
  • Measuring to improve
  • Network observability example
  • What to measure
  • Real user monitoring
  • Network performance management
  • Anomaly detection
  • Capacity
  • Business outcomes
  • Improving edge solution
  • Monitoring challenges at the edge
  • Configuration changes at the edge
  • Edge application monitoring
  • Personas
  • Summary
  • Chapter 10: Connect Judiciously but Thoughtlessly
  • Suggested pre-reading material
  • Declarative versus imperative configuration
  • Comparing the two approaches
  • What slows down application deployment on the edge?
  • Solutioning edge-connected networks and applications
  • Zero Trust or as close as you can get
  • Managing secrets on the edge
  • Zero Trust architectures in edge computing
  • Secure access service edge
  • Overlay, underlay, and shared responsibilities
  • The network underlay
  • The network overlay
  • Zero Trust Network Access
  • End-to-end encryption
  • Application-centric networking
  • Summary
  • Chapter 10: Open Source Software Can Benefit You
  • Suggested pre-reading material
  • Open source and edge computing
  • Edge computing and OSS are intertwined
  • Do you really need to create that component?
  • Creating and supporting an open source program office (OSPO)
  • A software bill of materials is your friend
  • Using SBOMs to track software dependencies.
  • The characteristics of a mature OSS project
  • How to nurture and assist projects you rely on
  • Responses to projects that stray from their mission
  • Common objections
  • Recommendations for contributing code
  • Let the cat out of the bag (Successfully open source your code and documentation)
  • Five options for open sourcing
  • What to open source
  • Summary
  • Chapter 11: Recommendations and Best Practices
  • Suggested pre-reading material
  • Edge-native best practices as an outgrowth of cloud native
  • Pulling can be more secure than pushing
  • Application dependency resolution approaches
  • Deployment models for distributed edge applications compared
  • Making antifragile applications
  • Defining the terms
  • What are your current areas of weakness or vulnerability?
  • Properties of antifragile architectures
  • An ounce of prevention...
  • When things go wrong
  • What to avoid
  • Anti-patterns
  • How to recover, gracefully or not
  • Summary
  • Index
  • Other Books You May Enjoy.

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