Show Notes
- Amazon USA Store: https://www.amazon.com/dp/1492043087?tag=9natree-20
- Amazon Worldwide Store: https://global.buys.trade/Kafka-Gwen-Shapira.html
- Apple Books: https://books.apple.com/us/audiobook/the-trial/id1478867118?itsct=books_box_link&itscg=30200&ls=1&at=1001l3bAw&ct=9natree
- eBay: https://www.ebay.com/sch/i.html?_nkw=Kafka+Gwen+Shapira+&mkcid=1&mkrid=711-53200-19255-0&siteid=0&campid=5339060787&customid=9natree&toolid=10001&mkevt=1
- Read more: https://english.9natree.com/read/1492043087/
#distributedlog #topicpartitioning #replicationprotocol #exactlyoncesemantics #KafkaConnectandKafkaStreams #Kafka
Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale is a technical reference for designing, developing, and operating systems built on Apache Kafka. Written by Gwen Shapira, Todd Palino, Rajini Sivaram, and Krit Petty, the second edition reflects expertise from Confluent and LinkedIn, organizations closely associated with Kafka development and large-scale operation. Its subject is not merely message delivery. The book explains Kafka as a durable distributed log that lets independent applications publish, retain, replay, and process streams of events. It moves from the fundamental vocabulary of brokers, topics, partitions, producers, and consumers to the operational and architectural choices behind reliable production deployments. The coverage also includes Kafka Connect, Kafka Streams, administration, security, transactions, and monitoring. Rather than following a single application tutorial, the book aims to give readers a durable mental model for assessing tradeoffs in event-driven architectures. Its practical purpose is to help teams use Kafka for data pipelines, microservices communication, and stream-processing workloads without treating configuration and reliability as afterthoughts.