Scotty, I need warp speed in three minutes

The author shares performance optimization lessons learned while building Ultravisor, an Elixir-based Postgres connection pooler that handles hundreds of thousands of queries per second, emphasizing the critical importance of flame graphs and call tracing tools like eFlambè and tprof for identifying performance bottlenecks in tight loops. Key findings include that reducing unnecessary operations, understanding telemetry costs, choosing appropriate data structures, and knowing the performance limits of Elixir primitives like ETS tables and GenServer calls are essential for achieving sub-millisecond query handling at scale.

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