Production Database Architecture
A practical, production-focused resource for backend engineers, DBAs, and platform architects designing scalable partitioned database systems.
From range and hash partitioning fundamentals to advanced cross-partition query execution, routing automation, and zero-downtime migration — everything you need to build and operate high-throughput data infrastructure.
Three comprehensive tracks covering every aspect of database partitioning at production scale.
Core partitioning concepts, sharding vs partitioning tradeoffs, consistency models, scaling limits, and cost analysis. Start here to understand the architectural foundations.
Hands-on patterns for range, hash, and list partitioning. Routing algorithms, automated partition lifecycle workflows, and production DDL examples.
Federated query execution, proxy routing, cross-shard aggregation patterns, and materialized view strategies for distributed query performance.
Every guide includes production-ready SQL, YAML configs, and JavaScript routing code — not just theory.
Step-by-step playbooks for choosing between sharding and partitioning, selecting partition keys, and planning migrations.
Covers automation, monitoring, zero-downtime rebalancing, and failure recovery — not just initial setup.
Anti-patterns, tuning guides, and observability strategies to keep query latency low at scale.