46:39What I Wish I Had Known Before Scaling Uber to 1000 Services • Matt Ranney • GOTO 2016
GOTO Conferences
3 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 “system 2”
48 videos46:39
44:37Kubernetes for SysAdmins | Kelsey Hightower at PuppetConf | Talk & Demo
Perforce Puppet
2 HN recommenders
47:51AWS re:Invent 2014: AWS Innovation at Scale with James Hamilton (SPOT301)
Amazon Web Services
2 HN recommenders
59:13AWS re:Invent 2018: [REPEAT 1] A Serverless Journey: AWS Lambda Under the Hood (SRV409-R1)
Amazon Web Services
2 HN recommenders
45:31
1:16:07
52:41
1:10:23"Systems that run forever self-heal and scale" by Joe Armstrong (2013)
Strange Loop Conference
2 HN recommenders
48:45
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
40:04
38:43
25:18dotScale 2015 - John Graham-Cumming - I got 10 trillion problems, but logging ain't one
dotconferences
1 HN recommender
48:04
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
42:57
2:15:36
28:15Martin Kleppmann | Kafka Summit SF 2018 Keynote (Is Kafka a Database?)
Confluent, an IBM Company
1 HN recommender
18:22
1:01:39
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