Staying in Sync: From Transactions to Streams (Extended Version) - Speaker Deck

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Kafka at LinkedIn • 1.4 trillion messages/day (as of April 2016) • = average 16 million messages/sec • = 2 petabytes/week • 200 bytes/message after compression • Typically retained on disk for 2 weeks

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References (1) 1. Mahesh Balakrishnan, Dahlia Malkhi, Ted Wobber, et al.: “Tango: Distributed Data Structures over a Shared Log,” at 24th ACM Symposium on Operating Systems Principles (SOSP), pages 325–340, November 2013. http://research.microsoft.com/pubs/199947/Tango.pdf 2. Molly Bartlett Dishman and Martin Fowler: “Agile Architecture,” at O'Reilly Software Architecture Conference, March 2015. http://conferences.oreilly.com/software- architecture/sa2015/public/schedule/detail/40388 3. Shirshanka Das, Chavdar Botev, Kapil Surlaker, et al.: “All Aboard the Databus!,” at ACM Symposium on Cloud Computing (SoCC), October 2012. http://www.socc2012.org/s18- das.pdf 4. Pat Helland: “Life beyond Distributed Transactions: an Apostate’s Opinion,” at 3rd Biennial Conference on Innovative Data Systems Research (CIDR), pages 132–141, January 2007. http://www-db.cs.wisc.edu/cidr/cidr2007/papers/cidr07p15.pdf 5. Pat Helland: “Immutability Changes Everything,” at 7th Biennial Conference on Innovative Data Systems Research (CIDR), January 2015. http://www.cidrdb.org/cidr2015/Papers/CIDR15_Paper16.pdf 6. Martin Kleppmann: “Designing Data-Intensive Applications.” O’Reilly Media, April 2017. http://dataintensive.net/ 7. Joel Koshy: “Kafka Ecosystem at LinkedIn.” 19 April 2016. https://engineering.linkedin.com/blog/2016/04/kafka-ecosystem-at-linkedin 8. Jay Kreps: “I ♥ Logs.” O'Reilly Media, September 2014. http://shop.oreilly.com/product/0636920034339.do

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References (2) 9. Jay Kreps: “Putting Apache Kafka to use: A practical guide to building a stream data platform.” 25 February 2015. http://blog.confluent.io/2015/02/25/stream-data-platform-1/ 10. Leslie Lamport: “Time, Clocks, and the Ordering of Events in a Distributed System,” Communications of the ACM, volume 21, number 7, pages 558–565, July 1978. http://research.microsoft.com/en-US/um/people/Lamport/pubs/time-clocks.pdf 11. Neha Narkhede: “Announcing Kafka Connect: Building large-scale low-latency data pipelines.” 18 February 2016. http://www.confluent.io/blog/announcing-kafka-connect- building-large-scale-low-latency-data-pipelines 12. Fred B Schneider: “Implementing Fault-Tolerant Services Using the State Machine Approach: A Tutorial,” ACM Computing Surveys, volume 22, number 4, pages 299–319, December 1990. http://www.cs.cornell.edu/fbs/publications/smsurvey.pdf 13. Yogeshwer Sharma, Philippe Ajoux, PetcheanAng, et al.: “Wormhole: Reliable Pub-Sub to Support Geo-replicated Internet Services,” at 12th USENIX Symposium on Networked Systems Design and Implementation (NSDI), May 2015. https://www.usenix.org/system/files/conference/nsdi15/nsdi15-paper-sharma.pdf 14. Martin Thompson: “Single Writer Principle.” 22 September 2011. http://mechanical- sympathy.blogspot.co.uk/2011/09/single-writer-principle.html 15. Vaughn Vernon: Implementing Domain-Driven Design. Addison-Wesley Professional, February 2013. 16. Debezium: http://debezium.io/

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