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 solutions for diverse sector needs
- Make strategic decisions between cloud-out and edge-in strategies with confidence
- Purchase of the print or Kindle book includes a free PDF eBook
Book Description
Enriched with insights from a hyperscaler's perspective, Edge Computing Patterns for Solution Architects will prepare you for seamless collaboration with communication service providers (CSPs) and device manufacturers and help you in making the pivotal choice between cloud-out and edge-in approaches.
This book presents industry-specific use cases that shape tailored edge solutions, addressing non-functional requirements to unlock the potential of standard edge components. As you progress, you'll navigate the archetypes of edge solution architecture from the basics to network edge and end-to-end configurations. You'll also discover the weight of data and the power of automation for scale and immerse yourself in the edge mantra of low latency and high bandwidth, absorbing invaluable do's and don'ts from real-world experiences. Recommended practices, honed through practical insights, have also been added to guide you in mastering the dynamic realm of edge computing.
By the end of this book, you'll have built a comprehensive understanding of edge concepts and terminology and be ready to traverse the evolving edge computing landscape.
What you will learn
- Distinguish edge concepts, recognizing that definitions vary among different audiences
- Explore industry-specific architecture patterns that shape custom solutions
- Analyze three proven edge computing archetypes for real-world scalability
- Apply best practices judiciously, adapting patterns to meet specific requirements
- Evaluate data for storage or discarding based on compliance and industry norms
- Advance from the foundational basics to complex end-to-end edge configurations
- Gain practical insights for achieving low-latency, high-bandwidth edge solutions
Who this book is for
Ideal for VPs of IT infrastructure, enterprise architects, solution architects, and SRE professionals with a background in cloud computing, this book is for individuals involved in crafting edge reference architectures and tailored solutions across diverse industries. It provides valuable insights and practical patterns drawn from real-world implementations in sectors such as retail, telecommunications, and manufacturing. Foundational knowledge of cloud computing is assumed to align with the advanced nature of the content covered.
Table of Contents
- Our View of Edge Computing
- Edge Architectural Components
- Core Edge Architecture
- Network Edge Architecture
- End-to-End Edge Architecture
- Data Has Weight and Inertia
- Automate to Achieve Scale
- Monitoring and Observability
- Connect Judiciously but Thoughtlessly
- Open Source Software Can Benefit You
- Recommendations and Best Practices
Iyengar, Ashok: - Ashok Iyengar is an Executive Cloud Architect at IBM. As a member of the Architecture Guild, he focuses on creating solution architectures that encompass distributed computing, edge computing and AI. He follows NDSU Bison football and is eagerly looking forward to bringing generative AI to edge computing. He enjoys being a mentor, author, speaker and blogger.
Pearson, Joseph: - Joseph Pearson has worked as a college instructor and in various media companies for over three decades, most recently as Software Architect at The Weather Channel. He has since worked for IBM Cloud as a Strategist and then IBM Software in Edge Computing. He currently works for IBM Software's Networking and Edge Computing unit on their open source strategy. He volunteers with the Linux Foundation as Chair of the LF Edge Technical Advisory Council (TAC) and leads the Open Horizon project. And in any spare time, he enjoys geocaching.
