SQLAlchemy + Postgres Cheatsheet 17 — pg_stat_statements and Slow Queries
Cheatsheet: enable pg_stat_statements, find top queries, auto_explain, slow-query log via SQLAlchemy events.
Performance
Django Cheatsheet 19 — Performance Optimization
Cheatsheet: N+1, query optimization, connection pool, caching, pgbouncer.
React Cheatsheet 19 — Lists and Virtualization
Cheatsheet: TanStack Virtual, react-window, infinite scroll, keyed updates.
Load Testing in 2026 — k6, Vegeta, Locust, and Tests That Predict Production
Practical load testing: pick the right tool, model real traffic, find capacity ceilings, integrate into CI, and avoid common pitfalls.
Rust Performance in 2026 — Benchmarking, Profiling, and Real Wins
Practical Rust perf: criterion benchmarks, perf flamegraphs, dhat for allocations, common bottlenecks, and the discipline of measure-then-optimize.
Connection Pooling for Postgres in 2026 — PgBouncer, Hyperdrive, Supavisor
Why connection pooling is non-negotiable for Postgres apps. PgBouncer transaction-mode quirks, modern alternatives (pgcat, Supavisor, Hyperdrive), and the patterns from production.
Postgres VACUUM and Bloat in 2026 — The Operator's Manual
Why VACUUM matters, how MVCC creates bloat, autovacuum tuning, bloat detection, pg_repack, and the playbook for keeping Postgres healthy at scale.
Python 3.13 Features for Developers in 2026 — JIT, GIL Removal, and More
What 3.13 brought, what’s experimental, and which features matter for production backend Python in 2026 — JIT, free-threaded mode, typing improvements, REPL.
Postgres Performance Tuning Cheat Sheet 2026
Practical Postgres tuning cheat sheet. Config knobs that matter, indexing patterns, reading EXPLAIN ANALYZE BUFFERS, vacuum and bloat, connection pooling, and slow-query diagnostics.
Postgres Partitioning in 2026 — Range, List, and the Patterns That Scale
When and how to partition Postgres tables. Range / list / hash, partition pruning, attach/detach, default partitions, and the gotchas at scale.