Dave Stokes Talks Open - Episode 6
summary
An engineer responsible for seven major database types at Udemy evaluates concrete tradeoffs: whether 10 terabyte table → 100 virtual shards actually speeds schema changes, how much data duplication across regions inflates costs, and whether postgres replication beneath FerretDB meets Mongo oplog semantics. Kubernetes adoption looks real for stateless services but debugging and tooling gaps slow persistent data moves. Practical metrics, toolchains used (MySQL Postgres Kafka Redis distributed SQL), and migration friction determine whether to adopt or wait.
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chapters (8)
- 0:00Introduction
- 1:05Databases in Kubernetes
- 3:55Persistent data challenges
- 6:00Schema changes scalability
- 8:08Developer choices at Udemy
- 11:44FerretDB MongoDB alternative
- 14:30Document and relational future
- 16:20Community plans
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