sderosiaux / performance-engineering-handbookView on GitHub
Full-stack performance engineering handbook — Linux kernel & eBPF, profiling/tracing, network & JVM/GPU tuning, storage engines, databases, distributed systems and streaming/ML data architectures, plus the high-performance data structures behind them: probabilistic sketches, vector/ANN indexes, columnar encoding, LSM & learned indexes, HFT C++.
19Jun 4, 2026Updated this week

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