AI DBA
Production database engineering, architecture and automation for systems that cannot afford to fail.
- PostgreSQL
- ClickHouse
- Kafka
- CDC
- HA
- Performance
- AI Automation
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What this covers
PostgreSQL
Replication, performance, and the operational habits that keep a primary healthy.
ClickHouse
Table design, ingestion, and query patterns for analytics at production scale.
CDC
Change data capture with explicit delivery, ordering, and recovery guarantees.
Database Automation
Migrations, failover, and the routine work that should not depend on memory.
AI for Database Engineering
Where automation genuinely helps operators, and where it quietly does not.
Newsletter
New deep dives, as they publish
Field notes on database reliability, architecture, and operations. No digests, no filler.
Consulting
Running something similar in production?
An independent review of your database or data-platform architecture, before reliability problems turn into incidents.
About
Written by an operator
AI DBA is a publication about running databases that cannot afford to fail: PostgreSQL and ClickHouse in production, the pipelines between them, and the automation worth trusting. Every article is written from work done on real systems, not from documentation.
More about this publicationCode
Reference implementations
The pipelines described in the articles are published as runnable reference repositories, so you can read the configuration rather than reconstruct it from prose.
View the code on GitHub