Knowledge · Patterns
AnovaCloud Architecture Patterns
Five field-tested reference architectures we implement — the reasoning, tradeoffs, and operating discipline behind each, written for practitioners.
Pattern 01 · AI
Enterprise RAG, done right
Problem: LLMs hallucinate on private knowledge; naive document uploads don't fix retrieval, permissions, or freshness.
Read pattern →Pattern 02 · AI
Multi-Agent Systems that stay controllable
Problem: single agents collapse on multi-step work — no separation between planning, doing, and verifying.
Read pattern →Pattern 03 · Data
The Lakehouse, without the swamp
Problem: warehouse bills grow while data lakes accumulate ungoverned copies nobody trusts.
Read pattern →Pattern 04 · Modernization
SQL Server → PostgreSQL migration pattern
Problem: SQL Server licensing taxes growth; migration without a disciplined pattern is a heroic cutover.
Read pattern →Pattern 05 · Modernization
Oracle → PostgreSQL migration pattern
Problem: Oracle licensing taxes growth and PL/SQL idioms don't transliterate; migration without a disciplined pattern is a heroic cutover.
Read pattern →Patterns connect to everything we do
Each pattern links to the reference blueprints that instantiate it, the engineering notes that argue about it, and the practices that implement it. Start with the problem you have; follow the links to the engagement that solves it.
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Put a pattern to work
Patterns are the reasoning; engagements are the application. Bring your problem and we'll map it to the right architecture.