HardPhase 9 — Production AI platform engineering

Week 94 — Traffic routing

Production AI platform engineering · Implement

Hard

Phase 9 — Production AI platform engineering

Overview

Model router, kill switch, sticky rollout

Mode this week: implement. Match the work to that mode (operating model): implement ships running code; read/diagram ships a doc; deploy/benchmark ships a measured run. Personal dates, checkboxes, and the RPG layer stay in a learner journal.

Core deliverable

Router service

Optional depth

Add a production-shaped benchmark, cost or safety analysis, and an architecture trade-off note.

Week loop (from the cookiecutter journal)

Forge theme: Euler indexing, subtree aggregation, DSU on Tree, HLD survey

Leetcode Darbar (parallel)

This week's band (82-102): Heaps, priority queues, graphs, trees, range queries. Production connection: Inference schedulers, quotas, queues, tenant fairness.

Standard: one aligned problem. Auror: the five-slot queue on the Darbar page. Tracker stays in the learner journal.

Topics: graphs · heap · queue · range query · trees

Evidence contract

Every core week records all four (cookiecutter journal/weeks/week_094.md):

  1. Code / implementation (or the design artifact on a writing week)
  2. Benchmark / result
  3. Design doc / technical explanation
  4. Retrospective / learning note (Sailboat: destination, wind, anchor, rocks, heading)

On this site

Official Tensor-to-Tenant


Week 94 of Tensor-to-Tenant · Previous week · Next week.