Pain-Free Fallback Cache in Scala
summary
Describes Tinkoff’s approach to building a resilient fallback cache for Scala backends in microservice architectures so services keep responding when important data sources are down. Covers database choice and rationale, maintaining data format versioning, detecting service liveness, integrating a cache without rewriting Scala applications, and performance measurements and results.
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chapters (10)
- 0:00Introduction
- 3:12FBPH library overview
- 7:04Cache storage selection
- 14:10Cassandra vs Couchbase vs Tarantool
- 20:14Schema initialization and migration
- 26:42Circuit Breaker pattern
- 33:10Prepared Statements issues
- 37:28Cache warming and data filling
- 41:36Testing and dependency checks
- 42:21Q&A
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