do-domain-database

What problem does it solve?

This Skill helps software teams design, implement, and optimize complex database architectures by providing advanced patterns for PostgreSQL, MongoDB, and Redis, enabling scalable, high-performance applications.

Core Features & Use Cases

• Advanced multi-database patterns for relational, document, and in‑memory data stores.
• Polyglot persistence strategies to optimize storage, access, and consistency across systems.
• Performance optimization including indexing, partitioning, caching, and cross-store coordination for analytics and transactional workloads.
• Use Case: Build a SaaS analytics platform that stores structured data in PostgreSQL, unstructured logs in MongoDB, and fast session data in Redis, while ensuring cross-database transactions and consistent read models.

Quick Start

Set up PostgreSQL, MongoDB, and Redis instances (local or cloud) and apply the provided design patterns by examining the referenced modules to implement schemas, aggregation pipelines, and caching strategies in your project.