jm + cap + aphyr   4

Call me Maybe: Chronos
Chronos (the Mesos distributed scheduler) comes out looking pretty crappy here
aphyr  mesos  chronos  cron  scheduling  outages  ops  jepsen  testing  partitions  cap 
august 2015 by jm
Call me maybe: Aerospike
'Aerospike offers phenomenal latencies and throughput -- but in terms of data safety, its strongest guarantees are similar to Cassandra or Riak in Last-Write-Wins mode. It may be a safe store for immutable data, but updates to a record can be silently discarded in the event of network disruption. Because Aerospike’s timeouts are so aggressive–on the order of milliseconds -- even small network hiccups are sufficient to trigger data loss. If you are an Aerospike user, you should not expect “immediate”, “read-committed”, or “ACID consistency”; their marketing material quietly assumes you have a magical network, and I assure you this is not the case. It’s certainly not true in cloud environments, and even well-managed physical datacenters can experience horrible network failures.'
aerospike  outages  cap  testing  jepsen  aphyr  databases  storage  reliability 
may 2015 by jm
Call me maybe: Elasticsearch 1.5.0
tl;dr: Elasticsearch still hoses data integrity on partition, badly
elasticsearch  reliability  data  storage  safety  jepsen  testing  aphyr  partition  network-partitions  cap 
may 2015 by jm
Call me maybe: Carly Rae Jepsen and the perils of network partitions
Kyle "aphyr" Kingsbury expands on his slides demonstrating the real-world failure scenarios that arise during some kinds of partitions (specifically, the TCP-hang, no clear routing failure, network partition scenario). Great set of blog posts clarifying CAP
distributed  network  databases  cap  nosql  redis  mongodb  postgresql  riak  crdt  aphyr 
may 2013 by jm

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