47:51AWS re:Invent 2014: AWS Innovation at Scale with James Hamilton (SPOT301)
Amazon Web Services
2 HN recommenders
Distributed systems
Distributed systems: consensus, Paxos, Raft, replication, CAP theorem, Kafka, event logs, Erlang/OTP, scaling services across machines, fault tolerance, large-scale architectures at Google, Netflix, Facebook.
- Topic: Distributed systems
Results for “ev”
46 videos47:51
59:13AWS re:Invent 2018: [REPEAT 1] A Serverless Journey: AWS Lambda Under the Hood (SRV409-R1)
Amazon Web Services
2 HN recommenders
1:06:08
1:16:07
1:10:23"Systems that run forever self-heal and scale" by Joe Armstrong (2013)
Strange Loop Conference
2 HN recommenders
45:27
55:44AWS re:Invent 2018: How AWS Minimizes the Blast Radius of Failures (ARC338)
Amazon Web Services
2 HN recommenders
53:43AWS re:Invent 2018: Amazon DynamoDB Under the Hood: How We Built a Hyper-Scale Database (DAT321)
Amazon Web Services
2 HN recommenders
25:18dotScale 2015 - John Graham-Cumming - I got 10 trillion problems, but logging ain't one
dotconferences
1 HN recommender
48:04
29:46The past, present, and future of local-first - Martin Kleppmann (Local-First Conf)
Local-First Conf
1 HN recommender
46:15AWS re:Invent 2014 | (SPOT302) Under the Covers of AWS: Its Core Distributed Systems
Amazon Web Services
1 HN recommender
50:06The Many Meanings of Event-Driven Architecture • Martin Fowler • GOTO 2017
GOTO Conferences
1 HN recommender
47:18
1:14:19
42:57
7:27Lamport on writing "Time, Clocks, and the Ordering of Events in a Distributed System"
Turing Awardee Clips
1 HN recommender
28:15Martin Kleppmann | Kafka Summit SF 2018 Keynote (Is Kafka a Database?)
Confluent, an IBM Company
1 HN recommender
53:14
18:22
5:28
47:43Sources and selection
Indie Picks is organized from video metadata and uploader descriptions; it is not a full-video editorial review. HN Library retains community discussions. Sources and data notes