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"StackPath Edge Computing: Building and Managing Distributed Performance at the Edge" offers a comprehensive guide to the rapidly evolving world of edge computing, positioning StackPath's platform at the center of modern digital transformation. It begins with the core principles of edge computing and the business and technical forces driving its adoption, including low latency, bandwidth efficiency, data locality, regulatory compliance, and the growing need for distributed resilience. The book also examines the balance between cloud and edge architectures, helping readers understand where edge delivers the greatest value and how it fits into broader enterprise strategies.
The book then explores StackPath's edge platform in depth, detailing its physical and virtual infrastructure, global network connectivity, distributed services, and developer-friendly tooling. Readers will learn how to deploy and manage workloads at the edge, from containerized applications to serverless functions, with an emphasis on resource isolation, lifecycle management, and API-driven automation. Practical guidance is also provided on securing edge environments, protecting sensitive data, and maintaining compliance through zero trust principles, DDoS mitigation, incident response, and other advanced security practices.
Finally, the book covers advanced and emerging edge use cases that are shaping the future of distributed computing, including media acceleration, real-time content delivery, edge networking, and DevOps automation for highly distributed systems. It also looks ahead to innovations such as AI and machine learning at the edge, privacy-preserving and federated computation, multi-cloud deployment models, and the influence of 5G and blockchain. With a strong focus on observability, governance, and operational excellence, this book is an essential resource for technical leaders, architects, and developers seeking to build high-performance, resilient applications at the edge.
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