Practical Stream Engineering with Apache Samza

Practical Stream Engineering with Apache Samza: Architecting, Developing, and Operating Real-Time Data Pipelines is an authoritative, tightly focused resource for engineers and architects building production-grade stream processing systems. The book opens by tracing the evolution from batch to real-time processing, clarifying the design trade-offs that drive modern streaming architectures and situating Samza among contemporaries like Flink, Storm, and Kafka Streams. With clear comparisons and real-world use cases, readers gain the conceptual foundation needed to evaluate when and how Samza provides the best fit for latency-sensitive, stateful workloads.

The core of the guide dives into Samza's architecture and programming models, from its modular runtime and YARN integration to state management, message serialization, and developer-facing APIs and SQL. It offers practical, example-driven guidance on building stateful applications, achieving durability and exactly-once semantics, and optimizing for throughput and latency. Extensive chapters on deployment, monitoring, multi-tenancy, and performance engineering provide operators and DevOps teams with proven practices for running resilient, scalable Samza clusters in production.

Beyond internals, the book explores integration patterns across the data ecosystem-best practices for coupling Samza with Kafka, Hadoop, cloud storage, and event-driven architectures-while addressing security, governance, and compliance concerns important to enterprise deployments. A final set of case studies highlights applications in real-time analytics, fraud detection, IoT, and cloud-native environments, and a forward-looking conclusion examines open-source developments and future directions for stream engineering. Whether you are architecting complex pipelines, developing high-throughput jobs, or operating mission-critical systems, this book is an indispensable companion for practical stream engineering with Apache Samza.