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Data Storage: CAP Theorem
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Classroom Contents
Building Blocks of Distributed Systems - Parts 1 & 2
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- 1 Intro
- 2 Pipeline & Batch Systems (Part 1)
- 3 Orchestration: Finding, Ordering, Sharding
- 4 Making Reliability Worse: Failover
- 5 Lockservers, discovery
- 6 Clients, self-resolution
- 7 So, what lockserver ?
- 8 Let's talk about Consensus
- 9 Consensus Challenges
- 10 Consensus; Requirements
- 11 Consensus; Raft
- 12 Spot the Difference!
- 13 Ordered Queues: Pain And Suffering
- 14 Queues: PubSub & SQS
- 15 Queues: Kafka, Log Device, Kinesis
- 16 Data Storage: CAP Theorem
- 17 Data Storage; B-Trees vs. LSM
- 18 Data Storage: Weak vs Strong Isolation
- 19 Data Storage: Database Types
- 20 Datacenter / Cluster Filesystems
- 21 Useful Distributed DB/Cluster patterns