Diagram of a database log file with arrows showing write-ahead logging flow.

Why Write-Ahead Logging Prevents Database Corruption During Crashes

Write-ahead logging (WAL) writes changes to a durable log before modifying the database, allowing recovery after crashes and eliminating corruption.

May 13, 2026 · 8 min · 1673 words · martinuke0
Diagram of shared memory pages before and after a write.

Why Copy on Write Bypasses Memory Allocation Bottlenecks

Copy‑on‑write avoids costly memory allocation by sharing data until a write occurs, dramatically improving throughput in many systems.

May 13, 2026 · 7 min · 1475 words · martinuke0
Diagram of a distributed system with interlocking resource requests.

Deadlock Detection Algorithms for Resource Allocation in Distributed Databases

A deep dive into deadlock detection strategies for distributed databases, explaining core algorithms, performance trade‑offs, and real‑world deployment advice.

May 13, 2026 · 7 min · 1422 words · martinuke0
Illustration of a B‑tree node beside an LSM tree log segment.

Why B‑Trees Outperform LSM Trees for Read‑Heavy Workloads

A deep dive into the structural differences that make B‑trees superior for read‑intensive scenarios, backed by benchmarks and real‑world engineering insights.

May 13, 2026 · 7 min · 1368 words · martinuke0
Illustration of a B-Tree branching with copy-on-write overlays.

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

Copy-on-Write B‑Trees provide immutable snapshots for readers while writers work on new nodes, enabling high concurrency with minimal blocking.

May 13, 2026 · 7 min · 1364 words · martinuke0
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