Pinboard (jm)
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recent bookmarks from jmExactly-once Support in Apache Kafka – Jay Kreps2017-07-05T14:22:01+00:00
https://medium.com/@jaykreps/exactly-once-support-in-apache-kafka-55e1fdd0a35f
jmIf you’re one of the people who think [exactly-once support is impossible], I’d ask you to take an actual look at what we actually know to be possible and impossible, and what has been built in Kafka, and hopefully come to a more informed opinion. So let’s address this in two parts. First, is exactly-once a theoretical impossibility? Second, how does Kafka support it.
]]>exactly-once-delivery distributed kafka distcomp jay-kreps coding broadcasthttps://pinboard.in/https://pinboard.in/u:jm/b:995120a6256e/Announcing Confluent, A Company for Apache Kafka And Realtime Data2014-11-06T20:41:44+00:00
https://www.linkedin.com/pulse/article/20141106180403-2945786-announcing-confluent-a-company-for-apache-kafka-and-realtime-data
jmrealtime event-processing logs kafka streaming open-source jay-kreps jun-rao confluenthttps://pinboard.in/https://pinboard.in/u:jm/b:5d37bc318bf2/Great quote from Voldemort author Jay Kreps2014-11-05T10:50:30+00:00
https://twitter.com/jaykreps/statuses/528284080170106880
jmvoldemort jay-kreps dynamo cap-theorem ap riak papers lww conflict-resolution distcomphttps://pinboard.in/https://pinboard.in/u:jm/b:b1654f1c576e/Tehuti2014-10-08T09:45:50+00:00
https://groups.google.com/forum/#!msg/project-voldemort/Y52UyHQ8tBA/9Ei79_RvS3EJ
jmkafka metrics dropwizard java scala jvm timers ewma statistics measurement latency sampling tehuti voldemort linkedin jay-krepshttps://pinboard.in/https://pinboard.in/u:jm/b:b56664c1a098/Questioning the Lambda Architecture2014-07-03T17:07:11+00:00
http://radar.oreilly.com/2014/07/questioning-the-lambda-architecture.html
jmjay-kreps toread architecture data stream-processing batch hadoop storm lambda-architecturehttps://pinboard.in/https://pinboard.in/u:jm/b:a8ed8296bab9/The Log: What every software engineer should know about real-time data's unifying abstraction | LinkedIn Engineering2013-12-16T21:36:40+00:00
http://engineering.linkedin.com/distributed-systems/log-what-every-software-engineer-should-know-about-real-time-datas-unifying
jmcoding databases log network kafka jay-kreps linkedin architecture storagehttps://pinboard.in/https://pinboard.in/u:jm/b:385d5e788e83/Call me maybe: Kafka2013-09-26T21:36:22+00:00
http://aphyr.com/posts/293-call-me-maybe-kafka
jmjay-kreps kafka replication distributed-systems distcomp networking reliability fault-tolerance jepsenhttps://pinboard.in/https://pinboard.in/u:jm/b:b84fc1db2d14/Getting Real About Distributed System Reliability2013-09-17T21:35:49+00:00
http://blog.empathybox.com/post/19574936361/getting-real-about-distributed-system-reliability
jmI have come around to the view that the real core difficulty of [distributed] systems is operations, not architecture or design. Both are important but good operations can often work around the limitations of bad (or incomplete) software, but good software cannot run reliably with bad operations. This is quite different from the view of unbreakable, self-healing, self-operating systems that I see being pitched by the more enthusiastic NoSQL hypesters. Worse yet, you can’t easily buy good operations in the same way you can buy good software—you might be able to hire good people (if you can find them) but this is more than just people; it is practices, monitoring systems, configuration management, etc.
]]>reliability nosql distributed-systems jay-kreps opshttps://pinboard.in/https://pinboard.in/u:jm/b:6dec1f8b86d3/