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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
Illustration of an LSM tree merging levels of data files.

Why LSM Trees Outperform B‑Trees for Write‑Intensive Workloads

LSM trees turn random writes into sequential appends, dramatically boosting write performance over B‑trees. Learn the mechanics behind compaction, bloom filters, and real‑world adoption.

May 15, 2026 · 6 min · 1271 words · martinuke0
Illustration of a B‑tree node being duplicated on write.

How Copy-on-Write B-Trees Enable Instant Database Snapshots

A deep dive into the mechanics of copy‑on‑write B‑trees and why they power instant snapshot features in today’s high‑performance databases.

May 14, 2026 · 6 min · 1248 words · martinuke0
Diagram comparing LSM and B‑Tree write paths.

Why Log Structured Merge Trees Outperform B Trees for Writes

An in‑depth look at why LSM trees beat B‑trees on writes, covering architecture, trade‑offs, and practical implications.

May 14, 2026 · 6 min · 1068 words · martinuke0
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