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KOLMOS Research & Engineering Journal

Systems, Internals & Cloud Economics

Technical articles on database wire protocol multiplexing, self-compressing storage engines, and eliminating cloud storage bloat.

Featured Guide·20 min read·September 3, 2026

PostgreSQL Compression: How to Reduce Database Storage Without Sacrificing Performance

A practical deep dive into PostgreSQL data compression, TOAST mechanics (LZ4 vs PGLZ), table and index bloat mitigation, declarative partitioning, and how columnar execution eliminates storage bottlenecks without sacrificing read latency.

K
KOLMOS Engineering Team
Database Systems & Storage Architecture
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PostgreSQL Compression: How to Reduce Database Storage Without Sacrificing Performance
PostgreSQL Compression: How to Reduce Database Storage Without Sacrificing Performance
PostgreSQL20 min read

PostgreSQL Compression: How to Reduce Database Storage Without Sacrificing Performance

Your PostgreSQL database is getting bigger. Your cloud bill is following it. Discover how native TOAST LZ4 tuning, MVCC bloat cleanup, declarative partitioning, and columnar execution engines like KOLMOS can shrink database storage without degrading query execution speed.

K
KOLMOS Engineering Team
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How to Make PostgreSQL Cheaper Without Sacrificing Performance
PostgreSQL22 min read

How to Make PostgreSQL Cheaper Without Sacrificing Performance

Scaling hardware before diagnosing resource consumption papers over underlying inefficiencies. Learn how to tame PostgreSQL costs across compute churn, storage bloat, I/O operations, and how columnar performance engines like KOLMOS cut infrastructure spend while preserving performance.

K
KOLMOS Engineering Team
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How to Reduce Amazon Aurora Costs in 2026: Taming the I/O and Storage Beast
Cloud Costs28 min read

How to Reduce Amazon Aurora Costs in 2026: Taming the I/O and Storage Beast

Amazon Aurora bills escalate rapidly due to hidden I/O charges and row-based storage multiplication. Discover how moving to a drop-in multi-wire columnar engine like KOLMOS slashes storage by 10× and eliminates query I/O via segment-skipping—with zero application rewrites.

K
KOLMOS Engineering Team
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How to Reduce Cloud Database Storage Costs in 2026
Cloud Costs10 min read

How to Reduce Cloud Database Storage Costs in 2026

Cloud database storage costs compound fast on RDS, Aurora, and MongoDB Atlas. Learn 5 proven ways to cut your storage bill in 2026 — with real pricing and an explanation-first compression approach.

K
KOLMOS
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How to Slash Cloud Database Storage Bills by 90%: The Complete Engineering Guide
Economics16 min read

How to Slash Cloud Database Storage Bills by 90%: The Complete Engineering Guide

Storage quietly accounts for 70%+ of cloud database invoices above 20TB. Here is how modern database engines use FastCDC chunking, Minimum Description Length (MDL) theory, and Cloudflare R2 to slash monthly costs from $25,000 to $750.

P
Punit Nigam
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Multi-Wire Protocol Architecture: Unifying PostgreSQL, MySQL, and MongoDB in Rust
Architecture18 min read

Multi-Wire Protocol Architecture: Unifying PostgreSQL, MySQL, and MongoDB in Rust

Migrating databases usually requires rewriting thousands of lines of ORM and query code. Here is the complete systems architecture of how KOLMOS accepts connections from Prisma, Django, Laravel, and Mongoose simultaneously.

P
Punit Nigam
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How to Reduce PostgreSQL Storage Costs (Make Postgres Cheaper in 2026)
PostgreSQL14 min read

How to Reduce PostgreSQL Storage Costs (Make Postgres Cheaper in 2026)

A complete engineering guide to fix table bloat, setup Postgres cold storage, and make your PostgreSQL database cheaper without losing data.

P
Punit Nigam
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