Cooking a multi-course meal is a scheduling and dependency management problem. Every experienced cook, whether they realize it or not, is solving the same class of problems that platform engineers solve when orchestrating CI/CD pipelines and distributed deployments.
Dependency Graphs in the Kitchen
A Thanksgiving dinner has a dependency graph: the turkey must rest before carving, the gravy depends on turkey drippings, the mashed potatoes should be served hot, and the pie should be at room temperature. Working backward from serving time and identifying the critical path is exactly how engineers plan deployment sequences with database migrations, service dependencies, and cache warming.
Parallel Processing
An experienced cook runs multiple processes concurrently: the oven handles the roast while the stovetop handles three sauces and the counter handles cold prep. Each "process" uses a different resource (oven, burner, counter space), avoiding resource contention. This is the same principle behind parallel CI/CD stages: run unit tests, linting, and security scanning concurrently because they use independent resources.
Optimization Under Constraints
A kitchen has finite resources: burner count, oven capacity, counter space, and the cook's attention span. Optimizing a meal plan within these constraints mirrors optimizing a deployment pipeline within compute budgets, time windows, and team capacity. The best cooks, like the best engineers, know when to parallelize and when to serialize.
Mise en Place as Infrastructure Preparation
Professional kitchens practice mise en place: everything in its place before cooking begins. Ingredients measured, tools arranged, stations prepped. This is the kitchen equivalent of infrastructure as code: defining the desired state before execution begins. Engineers who practice the software equivalent, setting up environments, seeding databases, and configuring monitoring before deployment, experience fewer surprises in production.
Error Handling and Recovery
A burnt sauce is a production incident. The recovery options mirror engineering recovery patterns: restart (make a new batch), failover (substitute a different sauce), degrade gracefully (serve without sauce and add extra seasoning), or escalate (order takeout). The decision depends on time budget, available resources, and impact on the overall meal, just like production incident triage.
The Connection
The cognitive patterns that make someone a good cook, dependency awareness, parallel thinking, resource optimization, preparation discipline, and graceful error recovery, are the same patterns that make someone a good platform engineer. The domain changes but the thinking does not.