performance-engineering-handbook

performance-engineering-handbook

sderosiaux

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++.

28 Stars
4 Forks
4 Watchers
100 SrcLog Score
Cost to Build
$72.7K
Market Value
$160.2K

Growth over time

8 data points  ·  2021-08-01 → 2026-09-01
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What is the sderosiaux/performance-engineering-handbook GitHub project? Description: "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++.". Explain what it does, its main use cases, key features, and who would benefit from using it.

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