Algorithm patterns & code templates
End-to-end architecture problems
Design patterns & practical code
Deep dives into core tech
Production systems & operations
Consensus, replication & more
Kernel, networking & system calls
Quick reference cards for interviews
“Start with use case identification, not technology selection. Ask 'what problems can AI solve for us,' not 'how do we use GPT-4'”
“This is the 'messy middle,' too big for startup informality but too small for enterprise bureaucracy. You have to find a careful balance between structure and speed”
The database that uses atomic clocks to solve distributed consistency
Centralized secret storage with encryption at rest and fine-grained access control
ZSTD combines LZ77-style dictionary matching (find repeated byte sequences, replace with back-references) with two entropy coders: Finite State Entropy (FSE) for match lengths and offsets, and Huffman coding for literal bytes. This three-stage pipeline achieves gzip-level compression ratios at LZ4-level speeds