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Edge Computing: Volume 22: Practical Strategies for Reducing Latency and Cloud Costs Without Complex Infrastructure
Paperback
General ComputersIndustrial DesignNetworking
Publisher: Independently Published
Published: May 4 2026
Pages: 154
Weight: 0.82
Height: 0.33 Width: 8.50 Depth: 11.00
Language: English
Finally, an Edge Computing Guide That Focuses on What Actually Matters: Lower Latency, Lower Costs, and Systems That Work in Production
Are your cloud bills climbing faster than your user base? Do your applications feel sluggish to customers halfway around the world? Tired of theoretical books that never show how to make edge work in production?
You already know edge computing matters. Every conference mentions it. Every cloud provider offers services. But when you sit down to build something, the practical guidance vanishes. What do you filter at the edge versus send to the cloud? How do you update devices you cannot touch? Which platform avoids lock-in?
This book answers those questions.
I spent fifteen years designing cloud systems and making expensive mistakes so you don't have to. This is not theory or buzzwords. Just what works when you're under pressure to deliver.
What Others Do vs. What This Book Does
Describe edge computing in theory → Shows exactly where to process data
Assume perfect connectivity → Handles network failures
Treat security as an afterthought → Secures devices in the wild
Ignore operations → Teaches monitoring and scaling
What You'll Learn
Foundations That Matter
Edge computing stripped of marketing hype
Why milliseconds of latency cost more than you think
Five places to process data and how to choose
Design Patterns That Work
Filter data at the edge to cut cloud bills
Process locally when waiting for the cloud isn't an option
Send smart, batch what you can, stream what you must
Systems You Can Trust
Choose platforms without lock-in regret
Design for networks that will fail
Deploy code to devices you cannot touch
Operations That Scale
Monitor thousands of devices without drowning in data
Scale from pilot to production without breaking things
Avoid six failure modes that catch most teams off guard
Advanced Patterns
Run ML models on devices
Handle data consistency across distributed locations
Secure devices outside locked data centers
Who This Is For
Engineers who build things. Cloud architects tired of theoretical guides. Technical leads responsible for real systems with real users. Teams struggling with latency, exploding cloud costs, or distributed complexity.
Open any chapter. You'll notice missing: filler. Every page exists because it solved a problem I actually faced.
If you're ready to stop reading about edge computing and start building systems that actually work, scroll up and click the button.
Process data where it lives. Reduce latency at the source. Build systems you can trust.
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