{ "item_title" : "Stream Everything", "item_author" : [" Richard Boozman "], "item_description" : "Build scalable streaming systems and event-driven platforms for modern real-time applicationsModern systems no longer operate in batches alone.Applications today process continuous streams of events from APIs, mobile devices, transactions, sensors, user interactions, and distributed services-all in real time.Organizations need systems that can ingest, process, react to, and analyze data the moment it arrives.Stream Everything is a practical, engineering-focused guide to building real-time data platforms using Python, Apache Kafka, and modern event-driven architecture patterns.This book teaches developers how to design scalable streaming systems that remain reliable, observable, and resilient under production workloads.Why real-time data engineering mattersModern systems face challenges such as: processing massive event streams continuouslyscaling distributed consumers reliablyhandling late, duplicated, or out-of-order eventsmaintaining low-latency processing pipelinescoordinating asynchronous servicesensuring reliability across distributed infrastructureBatch-oriented systems alone cannot solve these problems effectively.Streaming architectures enable systems to react instantly and scale dynamically.What you will learnfundamentals of event-driven architectureKafka architecture and distributed log conceptsproducers, consumers, topics, and partitionsstream processing with Pythonevent schema design and serializationexactly-once and at-least-once delivery semanticsstream reliability and fault toleranceasynchronous messaging and distributed workflowsmonitoring and observability for streaming systemsdeploying and scaling Kafka infrastructureFrom isolated services to event-driven systemsThroughout the book, you will learn how to: design scalable streaming architecturesprocess real-time events efficientlycoordinate distributed services asynchronouslybuild fault-tolerant data pipelinesoptimize throughput and latencymonitor streaming systems in productionevolve event schemas safely over timeEach chapter focuses on practical engineering workflows used in modern distributed systems teams.Practical applicationsreal-time analytics platformsevent-driven microservicesfinancial transaction processing systemsIoT and sensor data pipelinesfraud detection and alerting systemsmachine learning event infrastructureThese examples reflect real-world streaming and distributed systems challenges.Who this book is forbackend engineersdata engineersplatform engineerscloud-native developersdistributed systems engineerssoftware architects building event-driven systemsIf you want to build reliable, scalable, and real-time streaming platforms with Kafka and Python, this book provides the roadmap.Stream continuously.Process intelligently.Engineer systems that react in real time.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/79/818/030/9798180308702_b.jpg", "price_data" : { "retail_price" : "24.99", "online_price" : "24.99", "our_price" : "24.99", "club_price" : "24.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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