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SummaryEvent Streams in Action is a foundational book introducing the ULP paradigm and presenting techniques to use it effectively in data-rich environments.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the TechnologyMany high-profile applications, like LinkedIn and Netflix, deliver nimble, responsive performance by reacting to user and system events as they occur. In large-scale systems, this requires efficiently monitoring, managing, and reacting to multiple event streams. Tools like Kafka, along with innovative patterns like unified log processing, help create a coherent data processing architecture for event-based applications.About the BookEvent Streams in Action teaches you techniques for aggregating, storing, and processing event streams using the unified log processing pattern. In this hands-on guide, you'll discover important application designs like the lambda architecture, stream aggregation, and event reprocessing. You'll also explore scaling, resiliency, advanced stream patterns, and much more! By the time you're finished, you'll be designing large-scale data-driven applications that are easier to build, deploy, and maintain.What's insideValidating and monitoring event streamsEvent analyticsMethods for event modelingExamples using Apache Kafka and Amazon KinesisAbout the ReaderFor readers with experience coding in Java, Scala, or Python.About the AuthorAlexander Dean developed Snowplow, an open source event processing and analytics platform. Valentin Crettaz is an independent IT consultant with 25 years of experience.Table of ContentsPART 1 - EVENT STREAMS AND UNIFIED LOGSIntroducing event streamsThe unified log 24Event stream processing with Apache KafkaEvent stream processing with Amazon KinesisStateful stream processingPART 2- DATA ENGINEERING WITH STREAMSSchemasArchiving eventsRailway-oriented processingCommandsPART 3 - EVENT ANALYTICSAnalytics-on-readAnalytics-on-write