API Design for Backend Services
A compact mental model for designing reliable, boring, useful APIs.
Runbooks, decision notes, setup docs, and durable technical references.
A compact mental model for designing reliable, boring, useful APIs.
A role-readiness roadmap for backend, cloud, data, AI API, and production infrastructure skills.
A durable set of data modeling questions for relational and document databases.
A deployment checklist for publishing the knowledge base to Cloudflare Pages and mapping notes.bianrui.net.
A backend-focused map of Google Cloud services for APIs, data, jobs, secrets, and observability.
A practical map of Kubernetes concepts that matter for backend and AI infrastructure work.
Reliability patterns for OpenAI, Anthropic, OpenRouter, and other model APIs.
Practical Dockerfile patterns for FastAPI and Python services.
A document-database mental model for aggregates, embedding, references, indexes, and operational tradeoffs.
A backend engineer's starting point for logs, metrics, traces, alerts, and incident-ready systems.
A practical way to reason about identity, permissions, secrets, and access boundaries.
Operational Postgres concepts for backend engineers: schemas, indexes, transactions, migrations, and reliability.