Rama: the 100x programming platform with functional programming at its core
summary
Rama claims a 100x reduction in backend code by reimplementing a Twitter-like consumer (Mastodon) in 10k LOC vs. 1M LOC, running live under 100 million bots posting 3,500/sec with 400 average fan-out, and matching or beating Twitter’s latency (P50 ~500ms, P99 <1s). It replaces multiple specialty stores with composable P-states and ETL/topology computations, supports ACID cross-partition transfers, incremental replication, and instant schema migrations — and the demo runs at scale.
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chapters (14)
- 0:00Introduction to Rama and functional programming
- 1:08Rama's 100x productivity
- 3:37Macedon performance
- 5:45Twitter scale challenges
- 8:52Composability in backend
- 10:42Event sourcing and views
- 13:14FP model for backend
- 17:03Deploying Rama apps
- 19:11Partition states storage
- 23:51Querying with path API
- 29:09Composable computation CPS
- 36:52Distributed partitioners
- 41:29Summary and advanced
- 44:20Getting started with Rama
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