Cheat Sheets Jun 28, 2026 P0 intermediate
API Design Checklist
A practical checklist for reliable HTTP API design.
Learning Map
A role-readiness map for Founding Infrastructure & Backend Engineer work: backend APIs, deployment, databases, GPU inference, LLM reliability, security, observability, and creative AI pipelines.
Role Readiness Map
Priority, confidence, and next actions for backend and AI infrastructure ramp-up.
Backend API design
2 P0 developing
Keep API contracts, errors, pagination, idempotency, and job states reusable.
FastAPI production systems
3 P0 developing
Build one small service with auth, jobs, tests, and deploy notes.
GCP / Vercel deployment
2 P0 developing
Document Cloud Run, Vercel, env vars, secrets, and rollback paths.
Cloudflare / Edge publishing
2 P1 operational
Keep Pages, DNS, Access, sitemap, RSS, and public/private boundaries documented.
Docker / Kubernetes / CI/CD
4 P0 developing
Practice container build, rollout, rollback, probes, logs, and CI validation.
Database design / Postgres / MongoDB
6 P0 developing
Model access patterns, indexes, migrations, transactions, and document boundaries.
RunPod GPU inference
1 P0 seed
Write a minimal GPU inference runbook with cost and cold-start notes.
Hugging Face inference endpoints
2 P1 seed
Compare endpoints, Spaces, model artifacts, and deployment tradeoffs.
LLM API reliability
3 P0 developing
Add timeout, retry, fallback, quota, and telemetry examples.
IAM / RBAC / secrets
3 P0 developing
Create least-privilege examples for service accounts and secret access.
Observability / Sentry
2 P0 developing
Define logs, metrics, traces, errors, alerts, and first-debug dashboards.
Creative AI / animation pipelines
1 P1 seed
Map ingest, generation, review, storage, export, and failure states.
P0 Learning Queue
12 notes Cheat Sheets Jun 28, 2026 P0 intermediate
Database Design Checklist
A checklist for choosing and shaping relational or document data models.
Cheat Sheets Jun 28, 2026 P0 intermediate
FastAPI Production Checklist
A compact checklist for taking a FastAPI service from useful prototype to production-ready backend.
Cheat Sheets Jun 28, 2026 P0 intermediate
Docker Production Checklist
A checklist for production-friendly Docker images and container runtime behavior.
Cheat Sheets Jun 28, 2026 P0 beginner
GCP Cloud Run Checklist
A deployment checklist for containerized backend services on Google Cloud Run.
Cheat Sheets Jun 28, 2026 P0 intermediate
Kubernetes Operational Checklist
A small operational checklist for Kubernetes services and AI workloads.
Cheat Sheets Jun 28, 2026 P0 advanced
LLM API Reliability Checklist
A checklist for integrating external LLM and model APIs safely.
Cheat Sheets Jun 28, 2026 P0 intermediate
Observability and Reliability Checklist
A checklist for making backend services debuggable before they are painful.
Cheat Sheets Jun 28, 2026 P0 intermediate
PostgreSQL Production Checklist
A compact checklist for Postgres-backed backend services.
Cheat Sheets Jun 28, 2026 P0 intermediate
Secrets Management Checklist
A checklist for safely handling API keys, database credentials, and service secrets.
Runbooks Jun 28, 2026 P0 intermediate
API Design for Backend Services
A compact mental model for designing reliable, boring, useful APIs.
Runbooks Jun 28, 2026 P0 intermediate
Backend and AI Infrastructure Roadmap
A role-readiness roadmap for backend, cloud, data, AI API, and production infrastructure skills.
Topic Operating Model
Backend API design
P0Keep API contracts, errors, pagination, idempotency, and job states reusable.
FastAPI production systems
P0Build one small service with auth, jobs, tests, and deploy notes.
GCP / Vercel deployment
P0Document Cloud Run, Vercel, env vars, secrets, and rollback paths.
Cloudflare / Edge publishing
P1Keep Pages, DNS, Access, sitemap, RSS, and public/private boundaries documented.
Docker / Kubernetes / CI/CD
P0Practice container build, rollout, rollback, probes, logs, and CI validation.
Database design / Postgres / MongoDB
P0Model access patterns, indexes, migrations, transactions, and document boundaries.
RunPod GPU inference
P0Write a minimal GPU inference runbook with cost and cold-start notes.
Hugging Face inference endpoints
P1Compare endpoints, Spaces, model artifacts, and deployment tradeoffs.
LLM API reliability
P0Add timeout, retry, fallback, quota, and telemetry examples.
IAM / RBAC / secrets
P0Create least-privilege examples for service accounts and secret access.
Observability / Sentry
P0Define logs, metrics, traces, errors, alerts, and first-debug dashboards.
Creative AI / animation pipelines
P1Map ingest, generation, review, storage, export, and failure states.