Ricon West 2013 : Full day streams jump list

gistfile1.txt

## Day 1 - Track 1  ##

00:10:00 Pat Helland: Keystone - Between a ROC and a SOFT place
01:12:18 Lindsey Kuper: LVars: Lattice-based Data Structures for Deterministic Parallelism
02:11:54 Eric Redmond: Yokozuna!
04:10:50 Justin Shoffstall & Charlie Voiselle: The Seven-Layer Burrito; Troubleshooting a Distributed Database in Production
05:11:00 Peter Bailis: Bad as I wanna be - Coordination and Consistency in Distributed Databases
06:13:24 Joseph Blomstedt: Bringing Consistency to Riak (Part 2) 
07:16:22 Lightning talks (_nb_: you **must** see @tsantero!)

**Update**: the 1st talk was removed from the stream. You'll have to subtract aprox. 01h11' from the rest of the times.

## Day 1 - Track 2  ##0:00:04 

00:00:20 Miles O'Connell: More Than Just Data: Using Riak Core to Manage Distributed Services
00:58:06 James Hughes: The Seagate Kinetic Open Storage Platform: Innovation to Enable Scale Out Storage
02:59:17 Jeff Hodges: Practicalities of Productionizing Distributed Systems
03:58:30 Ryland Degnan: Yuki: Functional Data Structures for Riak
05:03:05 Derek Murray: Timely Dataflow in Naiad

## Day 2 - Track 1 ##

00:00:04 Justin Sheehy: Maximum Viable Product
00:57:35 Diego Ongaro: The Raft Consensus Algorithm
01:58:37 Jordan West: Controlled Epidemics: Riak's New Gossip Protocol and Metadata Store
03:03:00 The distributed podcast live
03:45:30 Jason Brown: Dynamic Dynamos: Comparing Riak and Cassandra
04:43:27 Michael Bernstein: Distributed Systems Archeology
05:46:14 Andrew Thompson: Riak Security; Locking the Distributed Chicken Coop
06:45:02 Jeff Dean: The Tail at Scale: Achieving Rapid Response Times in Large Online Services

## Day 2 - Track 2 ##

00:00:05 Jeremy Ong: CRDTs in Production
00:59:54 Susan Potter: Distributing Work Across Clusters: Adventures With Riak Pipe
02:28:40 Richard Simon & Richard Berglund: Denormalize This!
03:44:55 Sam Elliott: CRDTs: An Update (or maybe just a PUT)
04:48:50 Raja Selvaraj & Arvinda Gillella: Building Next Generation Weather Data Distribution and On-demand Forecast Systems Using Riak