API Design for Backend Services
A compact mental model for designing reliable, boring, useful APIs.
Operational guides, deployment notes, security models, and durable backend/AI infrastructure references.
A compact mental model for designing reliable, boring, useful APIs.
A deployment checklist for publishing the knowledge base to Cloudflare Pages and mapping notes.bianrui.net.
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 systems map for AI-enabled creative and animation workflows.
Practical Dockerfile patterns for FastAPI and Python services.
A starter note for comparing Hugging Face deployment paths and model-serving tradeoffs.
A backend-focused map of Google Cloud services for APIs, data, jobs, secrets, and observability.
Reliability patterns for OpenAI, Anthropic, OpenRouter, and other model APIs.
A practical map of Kubernetes concepts that matter for backend and AI infrastructure work.
A document-database mental model for aggregates, embedding, references, indexes, and operational tradeoffs.
Operational Postgres concepts for backend engineers: schemas, indexes, transactions, migrations, and reliability.
A backend engineer's starting point for logs, metrics, traces, alerts, and incident-ready systems.
A runbook for keeping public notes safe and understanding what private GitHub repositories do and do not protect.
A practical way to reason about identity, permissions, secrets, and access boundaries.
A starter runbook for thinking about RunPod GPU inference workloads, costs, cold starts, and reliability.