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Explore by engineering domain

AI engineering, databases, cloud platforms, system design, fundamentals, and field notes.

Agents, context engineering, harness design, MCP, evaluation, token efficiency, and AI-assisted engineering workflows.

Retrieve, Constrain, Verify, Abstain: A Near-Zero Hallucination RAG Architecture, Reviewed
Agentic RAG: When Natural Language Search Becomes an Action System
The Agentic Orchestration Layer: Scaling Database Operations from Sailor to Captain

PostgreSQL, Aurora, MySQL, Oracle, Cassandra, MongoDB, pgvector, replication, migrations, indexing, and database operations.

MySQL HeatWave in Production: Operations, Autopilot, Lakehouse, and Failure Modes
PostgreSQL on Kubernetes: HA Requires Fencing, Replication, and Recovery
Vitess for MySQL Sharding: Routing, Resharding, and Failure Boundaries

AWS, Azure, GCP, OCI, Terraform, Kubernetes, CI/CD, Cloudflare, developer platforms, and operational control planes.

Architecture reviews, scalability, failure modes, guardrails, distributed systems, reliability boundaries, and production tradeoffs.

Why Your Non-Prod Databases Cost as Much as Production
330 Redundant Data Centers All Failed Simultaneously — Because They Were Identical
The End of Single-Signal Alerting: Correlating Metrics, Logs, Traces, Deployments, and Cost

Core engineering principles, debugging workflows, observability, performance basics, reviews, and practical operating habits.

Scaling PostgreSQL Reads with AlloyDB: Read Pools, Columnar Execution, and TQF
Cloud SQL PostgreSQL Performance at Scale: Data Cache, Replicas, and Evidence-Driven Tuning
AI Cost Observability Dashboard: LangSmith vs Helicone

Short practical observations, checklists, production lessons, debugging notes, and decision patterns from real engineering work.

Design an IoT Platform for 10 Million Devices: Bigtable vs DynamoDB vs Cassandra vs MongoDB
Why Distributed NoSQL Databases Develop Hot Partitions
The Hidden Cost of Secondary Access Patterns in NoSQL