Diagram of a B-Tree node being duplicated on write.

Why Copy on Write B-Trees Improve Database Concurrency

Copy‑on‑write B‑trees enable high‑concurrency database operations by allowing readers to see a stable snapshot while writers modify a new version of the tree. The article explains the underlying mechanics, performance benefits, and practical implementation tips.

May 15, 2026 · 8 min · 1524 words · martinuke0
Diagram of a memory page being duplicated lazily.

How Copy on Write Semantics Impact Linux Kernel Memory Management

A deep dive into Linux’s copy‑on‑write semantics, explaining its inner workings, benefits, and the trade‑offs developers must consider.

May 15, 2026 · 8 min · 1686 words · martinuke0
Short description of the cover image subject.

Why Copy on Write Optimizes Memory in Modern Kernels

Copy‑on‑write (CoW) lets the kernel share pages between processes until a write occurs, cutting memory use and speeding up forks.

May 15, 2026 · 8 min · 1603 words · martinuke0
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Why Write-Ahead Logging Rescues Databases From Power Failures

Write-ahead logging (WAL) ensures that databases can survive sudden power loss by recording changes before they reach the data files, enabling rapid, loss‑free recovery.

May 15, 2026 · 7 min · 1319 words · martinuke0
Diagram comparing LSM tree levels with a B‑tree node hierarchy.

Why LSM Trees Outperform B-Trees for Write Heavy Workloads

The article explains the fundamental design of LSM trees, contrasts them with B‑trees for write‑intensive scenarios, and outlines when each structure shines.

May 15, 2026 · 6 min · 1141 words · martinuke0
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