Stream Processing Engines in C++: Building Scalable, Low-Latency, and Fault-Tolerant Real-Time Data Systems for Modern Applications
Language: English
Published by Independently published, 2026
- Softcover
- New
Seller: California Books, Miami, FL, U.S.A.California Books
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- Title
- Stream Processing Engines in C++: Building Scalable, Low-Latency, and Fault-Tolerant Real-Time Data Systems for Modern Applications
- Author
- C. Hastings, Robert
- Publisher
- Independently published
- Publication year
- 2026
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 13
- 9798184039961
When milliseconds cost millions, industries do not rely on garbage-collected languages; they rely on bare-metal C++ execution. Stream processing technology—powered by edge-triggered networking, lock-free queues, and zero-copy serialization—allows systems to ingest, route, and calculate millions of live events per second. It is the invisible force behind high-frequency trading platforms, real-time fraud detection, and global telecommunications infrastructure.
Stream Processing Engines in C++ is a definitive, hands-on guide that takes you from a blank text file to a highly scalable, fault-tolerant distributed data architecture. Instead of relying on bloated, pre-packaged frameworks, you will build a custom engine from the ground up. You will master core-pinned thread schedulers, wait-free ring buffers, epoch-based memory reclamation, and distributed checkpoints.
What's inside
- High-Performance Execution: Build custom thread pools and C++20 coroutine schedulers mapped directly to physical CPU cores.
- Zero-Copy Pipelines: Eliminate garbage collection pauses using custom slab allocators and binary schemas.
- Lock-Free Infrastructure: Replace slow mutexes with wait-free Single-Producer Single-Consumer (SPSC) and MPMC queues.
- The Network Perimeter: Bypass blocking sockets using edge-triggered epoll loops and strict flow control.
- Temporal Mathematics: Master Event Time, Tumbling Windows, and Late Triggers to calculate flawless real-time analytics.
- Distributed Fault Tolerance: Scale horizontally using Consistent Hash Rings and survive total cluster failure with Log-Based Replay.
Who it's meant for
This book is written exclusively for systems programmers, backend software engineers, and infrastructure architects who are tired of hiding behind slow abstractions. If you want to strip away the operating system interference, command the silicon directly, and learn how enterprise-scale platforms actually function under the hood, this guide is for you. A solid understanding of basic C++ and multithreading concepts is expected.
The physical limit of your hardware is much higher than you think. Stop relying on slow, black-box frameworks and start building architectures that process millions of events per second without breaking a sweat. Scroll up, grab your copy, and start building your stream processing engine today.
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California Books
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