CS Programming- AI and ML

Connection Pool Sizing, Measured: Why 48 Connections Beat 400 A benchmark sweep of a PostgreSQL instance from 1 to 400 connections shows throughput peaking at 48 connections (18,039 tps) and dropping 37% by 400 connections, while average latency multiplied 13x. The piece explains why connections are OS processes competing for cores rather than free capacity, tests the Universal Scalability Law fit (R²=0.94, predicted optimum 45.1), evaluates the (cores×2)+spindles formula (predicts 9, far off the measured 48), and finds that synchronous_commit=off raises throughput but does not shift the peak. It closes with practical guidance: watch queue depth (cl_waiting in PgBouncer, pending-threads in HikariCP) rather than connection count, account for instances × pool size multiplication, and use transaction pooling or RDS Proxy for Lambda to avoid connection exhaustion.

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Postgres 19: How Our Advice Has Changed Since... A deep retrospective revisits years of Crunchy Data's Postgres advice on COPY, TOAST, BRIN indexes, covering indexes, and partitioning, mapping which Postgres versions (14 through the upcoming 19) changed the underlying mechanics while the core recommendations largely held. Highlights for Postgres 19 (currently in beta) include SIMD-accelerated COPY parsing, ON_ERROR SET_NULL, LZ4 becoming the default TOAST compression algorithm, native REPACK CONCURRENTLY, native MERGE/SPLIT PARTITION syntax, COPY TO working directly on partitioned parents, autoscaling async I/O workers, parallel autovacuum workers, and JIT being turned off by default after being on since version 12. The piece closes with a checklist of advice that remains unchanged across all these releases.