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Study mode:
on
1
Intro
2
About Riak
3
What is consistent hashing
4
What happens when a node fails
5
What happens when a node returns
6
What happens when requests come in
7
How requests play out in react
8
Clients
9
Erlang
10
Hash Lookup
11
Cluster
12
Replicas
13
Vector Clocks
14
Client Requests
15
Need Repair
16
Architecture
17
Consistency
18
Clusters
19
React
20
React Erlang
21
Eventually Consistency
22
Limits
23
immutable data
24
conflictfree commutative
25
eventual consistency
26
recon 2012 comm
27
Google TCP
28
Riak Dynamo
29
Riak CS
30
Super Systems Research
31
OpenX
32
Multi datacenter replication
33
Erlang language
34
Security model
35
Wrapup
Description:
Explore the evolution of distributed databases in this GOTO Night 2013 presentation by Andy Gross, Chief Architect at Basho Technologies. Delve into the impact of Amazon's Dynamo paper on NoSQL databases, particularly Riak, five years after its publication. Learn about consistent hashing, node failures and recoveries, request handling, and the architecture of Riak. Examine topics such as eventual consistency, immutable data, conflict-free commutative structures, and multi-datacenter replication. Gain insights into the successes, challenges, and future prospects of Riak as it moves beyond its Dynamo roots. Discover how distributed systems have progressed and what the next five years may hold for this technology.

Riak & Dynamo, Five Years Later

GOTO Conferences
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