#Database

A deep Linux kernel systems guide to memory architecture: how multi-level page tables and TLB misses degrade performance, how Transparent Huge Pages (THP) and hugetlbfs expand TLB coverage, why THP compaction causes latency spikes in Redis/Postgres, and how to eliminate TLB shootdowns with zero-copy I/O.

A deep systems architecture guide to high-performance analytical databases: how columnar storage, dictionary/RLE compression, SIMD vectorized query execution, and morsel-driven parallelism make engines like DuckDB and ClickHouse 100x faster than traditional row-oriented databases.

A deep architectural guide to deterministic distributed OLTP: how the Calvin protocol completely eliminates the latency, distributed locking, and abort cascades of Two-Phase Commit (2PC) by ordering transactions before execution using Paxos sequencers and lock-free parallel execution pipelines.

A deep systems architecture guide to database durability and crash recovery: how the ARIES protocol guarantees ACID atomicity and durability using Write-Ahead Logging (WAL), Steal/No-Force buffer management, Log Sequence Numbers (LSNs), and three-phase recovery with Compensation Log Records (CLRs).

A comprehensive architectural deep dive into distributed locking: why naive Redis SETNX locks fail during GC pauses and clock drift, the Martin Kleppmann vs. Salvatore Sanfilippo Redlock debate, fencing tokens, etcd consensus leases with watch revisions, PostgreSQL advisory locks, and production Go implementations.

A comprehensive systems engineering guide to Change Data Capture (CDC): solving the dual-write problem, PostgreSQL Write-Ahead Log (WAL) logical decoding with pgoutput, Debezium capture pipelines, the Transactional Outbox pattern, schema evolution, and building event-driven synchronization in Go.

A comprehensive architectural guide to stateful distributed stream processing: mastering Event Time vs. Processing Time, Watermark heuristics for out-of-order data, RocksDB state backends, the Chandy-Lamport checkpoint barrier algorithm, and end-to-end Exactly-Once processing with 2PC sinks in Apache Flink and Kafka Streams.

A deep systems engineering breakdown of distributed consensus protocols: the FLP Impossibility Theorem, Replicated State Machines, Raft leader election & log matching safety invariants, Multi-Paxos Phase 1/Phase 2 quorum rounds, joint consensus cluster reconfiguration, and building a mini Raft state machine in Go.

A comprehensive architectural deep dive into database storage engines: dissecting B+Tree in-place page splits vs. LSM-Tree append-only SSTables, MemTable skip-lists, Bloom filters, write/read amplification trade-offs, and building a mini LSM engine in Python.