Practical notes on building reliable software by Arunkumar Ganesan

CQRS in Production: One Write Path, Many Read Models

How strong writes, transactional outbox, eventual read models, and different databases work together in production CQRS.

Should You Update to Java 25? A Code First Look at the New LTS

A code driven look at Java 25 through scoped values, structured concurrency, AOT warmup, JFR profiling, safer HTTP calls, and KDF.

Tree Data Structures: Search, Hierarchy, and Fast Decisions

A practical guide to tree structures, business hierarchy, search, indexes, priority, prefixes, range queries, diagrams, and code.

Influence Is Overrated. Credibility Is What Actually Moves Work

Why individual contributors earn trust through evidence, timing, and decision quality instead of title or meeting visibility.

Vector Data Architecture: Similarity Search and AI Retrieval

How embeddings, metadata, vector indexes, and retrieval services support semantic search and AI applications.

Derived Data Architecture: Metrics, Features, and Reusable Results

How calculated metrics, aggregates, ML features, and materialized views are built, tested, served, and reused.

Metadata Architecture: Make Data Findable and Trustworthy

How catalogs, lineage, owners, schemas, quality signals, and freshness data make the data estate usable.

Reference Data Architecture: Small Data That Keeps Systems Aligned

How country codes, currencies, tax categories, statuses, and policy lists are governed, versioned, searched, and analyzed.

Master Data Architecture: Golden Records for Core Entities

How customer, product, supplier, employee, and location master data is matched, governed, published, and analyzed.