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Data Structures & AlgorithmsComplexity analysis up to graphs and DP.Operating SystemsProcesses, scheduling, memory and concurrency.Database Management SystemsRelational modelling, transactions and indexing.Computer NetworksFrom wires and radio waves up to the web.

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AI Inference EngineeringQuantization, batching and KV caching in production.System DesignScalable systems from first principles.Context EngineeringDesigning the context that LLMs actually reason over.Docker & KubernetesContainers and orchestration, explained.

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Local to Production: Scaling Systems

The Database Problem4

Scaling the App Layer4

Caching for Speed4

Async Work & Scheduling4

Putting It All Together4

The scaling journey of one app, start to finish
A decision framework for scaling
Production essentials you cannot skip: logging, monitoring, payments and cost
The ultimate scaling cheat sheet

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Local to Production: Scaling Systems

The Database Problem4

Scaling the App Layer4

Caching for Speed4

Async Work & Scheduling4

Putting It All Together4

The scaling journey of one app, start to finish
A decision framework for scaling
Production essentials you cannot skip: logging, monitoring, payments and cost
The ultimate scaling cheat sheet

Learn Local to Production: Scaling Systems Putting It All Together

Contribute, invite only

Production essentials you cannot skip: logging, monitoring, payments and cost

The practical, easy-to-overlook pieces every real production system needs — observability, error tracking, analytics, payments, and when to stop using free tiers.

12 min readUpdated 2026-09-04observabilityloggingpaymentscostscaling