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Edge Networking for Distributed Systems: Connect Devices, Applications, Services, and Remote Sites with Reliable Low-Latency Communication
Paperback
General ComputersComputer Security
Publisher: Independently Published
Published: Sep 11 2026
Pages: 180
Weight: 0.50
Height: 0.45 Width: 6.00 Depth: 9.00
Language: English
What happens when your distributed application leaves the safety of a well-connected cloud region and must keep working across stores, factories, vehicles, remote sites, wireless links, and unreliable WAN connections?
At the edge, the network is no longer invisible infrastructure. It becomes part of the application's performance, security, availability, and failure model.
Edge Networking for Distributed Systems gives developers, network engineers, cloud and platform professionals, architects, and technology leaders a practical framework for designing systems that remain responsive and dependable when distance, congestion, disconnection, mobility, and limited bandwidth become everyday operating conditions.
Rion Frost begins with the architectural decisions that matter most: where workloads should run, which dependencies must remain local, how much latency a workflow can tolerate, what should happen when a path degrades, and how systems should recover after connectivity returns.
You will learn how to reason about latency budgets, jitter, loss, retries, backpressure, offline queues, state synchronization, correlated failure domains, IPv4 and IPv6, DNS, MTU problems, tunnels, SD-WAN, traffic priority, path diversity, and resilient routing.
The book then examines modern application communication through TCP, QUIC, HTTP/3, gRPC, MQTT, WebSockets, datagrams, service discovery, API gateways, load balancing, and Kubernetes service networking. Security is treated as an architectural concern through zero trust, workload identity, mutual TLS, segmentation, SASE, secure enrollment, secrets management, and resilient policy enforcement.
Dedicated chapters cover cloud-native edge platforms, GitOps under intermittent connectivity, fleet management, OpenTelemetry, distributed tracing, packet analysis, synthetic testing, and hypothesis-driven troubleshooting. Realistic industry patterns span retail, manufacturing, logistics, healthcare, energy, telecommunications, media, smart infrastructure, and edge AI.
A practical field playbook, architecture review checklists, site-acceptance tests, capacity-planning tools, rollout gates, incident-triage guidance, and five reference architecture patterns help turn the concepts into repeatable engineering practice.
Design the network as part of the system-not as a dependency you hope will always work.
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