Lesson 12: Production-Ready Distributed Scheduler

Production-Ready Distributed Scheduler

By this point you have every piece of a real scheduler platform: tenants that must not starve each other, hybrid local and serverless execution, performance numbers you can trust, durable multi-step workflows, and a control plane operators can actually use. This lesson stitches those pieces into one product—Platform Scheduler—and shows why production readiness is an architecture choice, not a polish pass.

Agenda

1. Multi-tenant isolation and fair resource governance

2. Hybrid execution (local vs serverless offload)

3. Measuring and tuning the hot path

4. Traditional sagas vs durable checkpointed workflows

5. Build, test, demo the integrated control plane

Core Concepts (what matters at ultra-scale)

1) Tenancy is a scheduling problem, not only an auth problem

Shopify, Stripe, and SaaS billing engines all share the same trap: one noisy tenant can monopolize workers. Isolation is not “separate databases or bust.” Shared-schema multi-tenancy with a tenant id on every row, an API key → tenant resolution layer, and a resource governor (concurrent + daily quotas) is how most high-scale schedulers start.

In this project, ResourceGovernor answers a binary question before any work starts: may this tenant run one more task right now? The dispatcher also walks tenants fairly so a single busy tenant cannot empty the due-queue alone.