Lucas and Luna dig into Zstandard, the compression algorithm that's quietly replacing gzip and zlib across modern data infrastructure. They trace its origins at Facebook, where a team led by Yann Collet set out to close the gap between compression ratio and speed. The episode walks through Zstd's key innovations: entropy coding with Finite State Entropy, dictionary compression for small records, and the ability to tune compression levels without recompressing. Lucas and Luna discuss why Zstd's decompression speed is the real game-changer, how it handles streaming data, and where it sits versus LZ4, Brotli, and gzip. They also cover practical trade-offs: when to use `zstd` vs `gzip` in your stack, how it impacts storage costs and latency, and why it's becoming the default in tools like PostgreSQL and Kafka. If you're building data pipelines or managing infrastructure, this episode gives you a concrete mental model for when Zstd earns its keep.