Apache Storm in Action: Build Low-Latency Data Pipelines for Analytics, Machine Learning, and Event-Driven Applications
What if your data systems could think in real time?
In a world where every millisecond counts, batch processing is no longer enough. Apache Storm in Action gives you the tools and know-how to design, build, and operate true real-time data pipelines that power analytics, automation, and machine learning at scale.
At its core, this book is about making data react, streaming, transforming, and responding as events occur. Through clear explanations and complete working examples, you'll learn how to create low-latency topologies that can handle millions of events per second with reliability and precision.
You'll master the essentials:
Spouts, bolts, and streams, the building blocks of Storm's reactive architecture
Trident and stateful processing, delivering exactly-once guarantees and robust windowing
Integrations with Kafka, Redis, Cassandra, and cloud-native platforms
Performance tuning, fault tolerance, and observability using real-world patterns
Machine learning pipelines and anomaly detection for intelligent event-driven systems
Deployment and scaling on Kubernetes, Docker, and hybrid environments
Each chapter blends production-grade code with actionable operations guidance, including runbooks, troubleshooting playbooks, and deployment manifests that bridge the gap between development and reliability engineering. You'll move from your first working topology to advanced architectures supporting live analytics, recommendation engines, and automated decision-making.
Written for engineers, architects, and data practitioners, Apache Storm in Action offers a practical, code-focused path to mastering one of the most battle-tested streaming frameworks ever built, and applying its lessons to modern real-time ecosystems.
Stop waiting for the next batch. Start building systems that think as fast as your data.
Get your copy of Apache Storm in Action today and start engineering real-time intelligence.
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