L1 Field Note
Engineering Fundamentals Scaling PostgreSQL Reads with AlloyDB: Read Pools, Columnar Execution, and TQF
A current guide to AlloyDB read pools, the columnar engine, Preview autoscaling, and Preview Transparent Query Forwarding.
L1 Field Note
Databases AlloyDB vs Amazon Aurora PostgreSQL: A Workload-First Architecture Comparison
A source-backed comparison of AlloyDB and Aurora PostgreSQL across storage, HA, reads, analytics, scaling, and operational fit.
L1 Field Note
Engineering Fundamentals Cloud SQL PostgreSQL Performance at Scale: Data Cache, Replicas, and Evidence-Driven Tuning
A performance-engineering guide to Cloud SQL Enterprise Plus, Data Cache, read replicas, and workload-specific validation.
L2 Deep Dive
AI Engineering From Chat to Agents: Designing Goal-to-Result Systems for Real Work
Chat is request-response; agents are task systems that plan, call tools, iterate, and stop when done. The minimum architecture — loop, tools, bounded memory, stopping conditions — required to make the transition from chat reliable.
L1 Field Note
Engineering Fundamentals SIMD vs SIMT Explained for Database Engineers
A DBA-friendly explanation of SIMD and SIMT using query execution, vectorized processing, and GPU mental models instead of hardware jargon.