Illustration of a Log‑Structured Merge tree versus a B‑tree.

Why LSM Trees Outperform B-Trees for Write Heavy Workloads

LSM trees excel in write‑heavy scenarios by batching writes and deferring compaction, while B‑trees suffer from random I/O. This post breaks down the mechanisms that give LSM trees their edge.

May 14, 2026 · 7 min · 1387 words · martinuke0
Diagram of memory pages being shared and duplicated on write.

Why Copy on Write Accelerates Fast Process Cloning

COW lets the OS clone a process in microseconds by postponing actual copying, a technique that underpins containers, virtualization, and high‑performance servers.

May 14, 2026 · 8 min · 1591 words · martinuke0
Diagram of a B‑tree node split during a copy‑on‑write operation.

Why Copy-on-Write B-Trees Outperform Traditional In-Place Updates

An in‑depth look at why copy‑on‑write B‑trees beat traditional in‑place updates, covering algorithmic details, performance metrics, and practical deployment tips.

May 14, 2026 · 8 min · 1671 words · martinuke0
Diagram of a B‑tree node being split with copy‑on‑write semantics.

Why Copy-on-Write B-Trees Improve Database Concurrency Performance

This article explains how copy‑on‑write (COW) B‑trees work, why they improve concurrency, and what trade‑offs they introduce for modern database engines.

May 14, 2026 · 9 min · 1712 words · martinuke0
Diagram illustrating shared memory pages before and after a write operation.

How Copy on Write Semantics Optimize Memory Management

Copy‑on‑write lets multiple processes reference the same memory until a write occurs, dramatically reducing duplication and improving performance. This post explains the mechanics, real‑world implementations, and trade‑offs.

May 13, 2026 · 7 min · 1474 words · martinuke0
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