Rêverie by Claude Debussy
Martin Kleppmann
Rêverie by Claude Debussy
6:26
Discussion session on Peritext, a CRDT for rich text
Martin Kleppmann
Discussion session on Peritext, a CRDT for rich text
1:13:31
Automerge: a new foundation for collaboration software
Martin Kleppmann
Automerge: a new foundation for collaboration software
1:05:01
Distributed Systems 6.2: Raft
Martin Kleppmann
Distributed Systems 6.2: Raft
38:09
Thinking in Events: From Databases to Distributed Collaboration Software (ACM DEBS 2021)
Martin Kleppmann
Thinking in Events: From Databases to Distributed Collaboration Software (ACM DEBS 2021)
52:04
Maple Leaf Rag (played by beginner)
Martin Kleppmann
Maple Leaf Rag (played by beginner)
5:04
Distributed Systems 8.1: Collaboration software
Martin Kleppmann
Distributed Systems 8.1: Collaboration software
36:26
Distributed Systems 8.2: Google's Spanner
Martin Kleppmann
Distributed Systems 8.2: Google's Spanner
18:41
Distributed Systems 7.3: Eventual consistency
Martin Kleppmann
Distributed Systems 7.3: Eventual consistency
14:59
Distributed Systems 7.2: Linearizability
Martin Kleppmann
Distributed Systems 7.2: Linearizability
18:44
Distributed Systems 7.1: Two-phase commit
Martin Kleppmann
Distributed Systems 7.1: Two-phase commit
18:45
Distributed Systems 6.2: Raft
Martin Kleppmann
Distributed Systems 6.2: Raft
37:25
Distributed Systems 6.1: Consensus
Martin Kleppmann
Distributed Systems 6.1: Consensus
18:15
Distributed Systems 5.3: State machine replication
Martin Kleppmann
Distributed Systems 5.3: State machine replication
10:15
Distributed Systems 5.2: Quorums
Martin Kleppmann
Distributed Systems 5.2: Quorums
9:37
Distributed Systems 5.1: Replication
Martin Kleppmann
Distributed Systems 5.1: Replication
25:21
Distributed Systems 4.3: Broadcast algorithms
Martin Kleppmann
Distributed Systems 4.3: Broadcast algorithms
13:45
Distributed Systems 4.2: Broadcast ordering
Martin Kleppmann
Distributed Systems 4.2: Broadcast ordering
16:19
Distributed Systems 4.1: Logical time
Martin Kleppmann
Distributed Systems 4.1: Logical time
24:02
Distributed Systems 3.3: Causality and happens-before
Martin Kleppmann
Distributed Systems 3.3: Causality and happens-before
16:25
Distributed Systems 3.2: Clock synchronisation
Martin Kleppmann
Distributed Systems 3.2: Clock synchronisation
15:58
Distributed Systems 3.1: Physical time
Martin Kleppmann
Distributed Systems 3.1: Physical time
20:48
Distributed Systems 2.4: Fault tolerance
Martin Kleppmann
Distributed Systems 2.4: Fault tolerance
8:19
Distributed Systems 2.3: System models
Martin Kleppmann
Distributed Systems 2.3: System models
20:45
Distributed Systems 2.2: The Byzantine generals problem
Martin Kleppmann
Distributed Systems 2.2: The Byzantine generals problem
10:42
Distributed Systems 2.1: The two generals problem
Martin Kleppmann
Distributed Systems 2.1: The two generals problem
11:35
Distributed Systems 1.3: RPC (Remote Procedure Call)
Martin Kleppmann
Distributed Systems 1.3: RPC (Remote Procedure Call)
19:45
Distributed Systems 1.2: Computer networking
Martin Kleppmann
Distributed Systems 1.2: Computer networking
13:07
Distributed Systems 1.1: Introduction
Martin Kleppmann
Distributed Systems 1.1: Introduction
14:36
CRDTs: The Hard Parts
Martin Kleppmann
CRDTs: The Hard Parts
1:10:10
Tied the Rain into a Bow
Martin Kleppmann
Tied the Rain into a Bow
5:07
TRVE DATA demo
Martin Kleppmann
TRVE DATA demo
1:25
Correctness proofs of distributed systems with Isabelle/HOL
Martin Kleppmann
Correctness proofs of distributed systems with Isabelle/HOL
1:58:09
Kryptopathen: Own Way
Martin Kleppmann
Kryptopathen: Own Way
4:01
Die Türme des Februar • Musical (Teil 2)
Martin Kleppmann
Die Türme des Februar • Musical (Teil 2)
1:06:39
Die Türme des Februar • Musical (Teil 1)
Martin Kleppmann
Die Türme des Februar • Musical (Teil 1)
1:17:49
Data liberation and data integration with Kafka — Strata New York 2015
Martin Kleppmann
Data liberation and data integration with Kafka — Strata New York 2015
41:33
Systems that enable data agility
Martin Kleppmann
Systems that enable data agility
40:59
Building real-time data products at LinkedIn with Apache Samza
Martin Kleppmann
Building real-time data products at LinkedIn with Apache Samza
49:42