Chapters:

0:00 ScyllaDB internals with Felipe Mendes

07:51 Write Path - API to Storage

11:40 What makes it faster than Cassandra?

13:39 Optimisations: Sea Star, shard per core architecture

15:49 Optimisations: No Garbage collection and Custom Cache Implementation

18:15 Optimisations: Scheduling groups and IO priority classes

20:07 Optimisations: IO scheduler

22:55 Benefits of shard per core architecture

30:16 Write path - Hows is a coordinator chosen?

38:20 Read path

39:27 Read path optimisations - Index Caching

41:48 Shard vs Partition

43:10 Shard per core architecture tradeoff

44:03 Observability of Database

References:

ScyllaDB architecture: https://opensource.docs.scylladb.com/stable/architecture/

Sea star: https://seastar.io/

ScyllaDB Caching: https://www.scylladb.com/2018/07/26/how-scylla-data-cache-works/

Shard per core architecture: https://www.scylladb.com/product/technology/shard-per-core-architecture/

Database performance at Scale: https://www.scylladb.com/2023/10/02/introducing-database-performance-at-scale-a-free-open-source-book/

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