Knowledge Library
The structured knowledge behind every recommendation: patterns, technologies, failure modes, and workload profiles, encoded as typed, auditable entries rather than free-form documentation.
Reusable backend architecture patterns with explicit tradeoffs, scaling profiles, and operational requirements.
Operational characteristics of specific technologies: consistency models, scaling limits, and known failure modes.
How real systems break in production: triggers, propagation, detection signals, and mitigation strategies.
Demand characterizations that drive pattern selection: access patterns, latency requirements, and consistency needs.
Typed, directed edges connecting knowledge entities: supports, mitigates, introduces risk, benefits from, and more.
Structured compositions of patterns, technologies, workloads, and failure modes into reusable architecture blueprints with scaling thresholds and migration paths.
Real-world architecture decisions from public engineering sources: what broke, why it was changed, and what operational lessons carried over.