reading

https://engineering.linkedin.com/distributed-systems/log-what-every-software-engineer-should-know-about-real-time-datas-unifying
https://www.oreilly.com/ideas/questioning-the-lambda-architecture
http://www.paperplanes.de/2011/12/9/the-magic-of-consistent-hashing.html
http://www.benstopford.com/2015/04/28/elements-of-scale-composing-and-scaling-data-platforms/
http://www.benstopford.com/2015/02/14/log-structured-merge-trees/
https://www.confluent.io/blog/data-dichotomy-rethinking-the-way-we-treat-data-and-services/
http://adrianmarriott.net/logosroot/papers/LifeBeyondTxns.pdf
http://robertgreiner.com/2014/08/cap-theorem-revisited/
http://the-paper-trail.org/blog/consistency-and-availability-in-amazons-dynamo/
https://blog.parse.ly/post/1691/lucene/
https://www.confluent.io/blog/turning-the-database-inside-out-with-apache-samza/
https://blog.discordapp.com/how-discord-stores-billions-of-messages-7fa6ec7ee4c7
https://martin.kleppmann.com/2015/05/11/please-stop-calling-databases-cp-or-ap.html
https://aphyr.com/tags/jepsen
http://martin.kleppmann.com/2017/01/26/data-loss-in-large-clusters.html
https://zcox.wordpress.com/2017/01/16/updating-materialized-views-and-caches-using-kafka/
https://blog.acolyer.org/2017/01/27/cardinality-estimation-done-right-index-based-join-sampling/
https://blog.acolyer.org/2017/01/30/how-good-are-query-optimizers-really/
http://engineering.skybettingandgaming.com/2017/01/23/streaming-architectures/
https://www.instaclustr.com/post-500-nodes-high-availability-scalability-with-riemann/