Real-Time Data Engineering in Production: Build, Monitor, and Scale Mission-Critical Streaming Applications with Apache , (Paperback)

<b>Stop building fragile data pipelines. Start engineering mission-critical services.</b> <p>The age of batch processing is over. The world now runs on real-time data, and the cost of failure has never been higher. But building stateful, high-throughput, and fault-tolerant streaming applications is one of the most complex challenges in software engineering. A single bug can lead to data loss, a misconfigured state backend can lead to a 3 A.M. "GC Death Spiral," and a simple deployment can kill your application's state. </p><p>This book is not a "Hello, World" tutorial. It is a battle-tested, production-grade playbook for building, monitoring, and scaling mission-critical streaming applications with Apache Flink. </p><p>Written for the professional data engineer, this guide cuts through the theory and dives straight into the "how-to" of building systems that <i>work</i>. You'll move beyond simple jobs and learn to think like a streaming architect, mastering the deep internals of Flink to build systems that are fast, correct, and truly resilient. </p><p><b>Inside, you will learn to: </b></p><ul><li><b>Master the Core: </b> Go deep on Flink's "Holy Trinity" Streams, State, and Time.</li><li><b>Build for Resilience: </b> Architect for true exactly-once guarantees and design multi-layered defenses against late and out-of-order data.</li><li><b>Handle Massive State: </b> Master Flink's state backends, including RocksDB, and use incremental checkpoints to manage terabytes of state without failure.</li><li><b>Hunt Down Bottlenecks: </b> Become an expert at diagnosing performance. Read the Flink UI like a pro, solve backpressure, and fix data skew.</li><li><b>Achieve True Observability: </b> Build a production-grade monitoring stack with Prometheus and Grafana, complete with actionable, no-noise alerting strategies.</li><li><b>Deploy Like a Pro: </b> Master cloud-native deployments on Kubernetes with the Flink Operator, and build a full CI/CD pipeline for zero-downtime, stateful application upgrades.</li><li><b>Unlock Advanced Power: </b> Go beyond simple aggregation with Flink SQL for analysts, CEP for complex pattern detection, and real-time ML for in-stream inference.</li></ul>This is the guide you wish you had when your first production job failed. Whether you're a data engineer, a backend developer, or a solutions architect, this book provides the expert-level knowledge you need to stop <i>hoping</i> your application works and start <i>engineering</i> it to never fail. <p><b>Don't just build a pipeline. Build a service. Add this book to your cart today.</b></p>

• Real-Time Data Engineering in Production: Build, Monitor, and Scale Mission-Critical Streaming Applications with Apache , (Paperback)
• Author: Independently Published
• ISBN: 9798272404176
• Format: Paperback
• Publication Date: 2025-10-31
• Page Count: 226