Advanced|19 hours|35 lessons

Internal Developer Platform

Building the platform your developers actually use: where to draw the abstraction line and what leaks through it, golden paths and the fleet of services they generate, a service catalog that stays true, self-service infrastructure with quota and policy at the request, versioning a platform API two hundred services depend on, and measuring adoption honestly. Lifetime updates included.

Text-based, no videos

9 modules, 35 lessons

Lifetime access

What you'll learn

The team ratio arithmetic that forces a platform, and what it means for how you staff one

Where to draw the abstraction line, what leaks through it first, and what leaking costs at 3am

Designing golden paths, and operating the fleet of services those paths generate

Building a service catalog whose ownership data is still correct when you need it

Turning infrastructure requests into an API, with quota and policy applied at request time

Namespaces, preview environments and production access as products with a cost

Versioning a platform API that hundreds of services already depend on, and moving the tail

Measuring adoption and developer experience without the metrics that flatter you

Curriculum

9 modules · 35 lessons

The Platform Is a Product

Why a platform becomes necessary, what developers actually want from it, and the ways it fails to be adopted.

4 lessons

The Ratio That Forces a Platform30 minFREE What Developers Actually Ask For28 minFREE The Platform Nobody Adopted32 min What a Platform Does Not Solve26 min

Where the Abstraction Line Goes

The central design decision: how much to hide, what leaks anyway, and what it costs when it does.

4 lessons

What a Service Is in Your Model32 min Hiding Kubernetes, and What Leaks First34 min The Escape Hatch and Who Uses It30 min Abstraction Debt at 3am30 min

Golden Paths

The supported way to build a service, and the fleet of services that way produces.

4 lessons

What a Paved Road Actually Includes30 min Scaffolding a Service in One Command32 min The Fleet You Created34 min Keeping the Road Paved32 min

The Service Catalog

Knowing what exists, who owns it, and what depends on it, accurately enough to act on.

4 lessons

The Catalog as a Data Problem30 min Ownership That Stays Correct28 min Backstage and What It Is Not32 min The Question You Ask During an Incident30 min

Self-Service Infrastructure

Turning a ticket into an API call, and the guardrails that make that safe.

5 lessons

From Ticket to API30 min The Control Plane Pattern34 min Quota, Policy and the Request That Should Be Denied32 min Databases and What You Cannot Give Away Freely32 min When Self Service Provisions a Bill30 min

Environments and Tenancy

What a team gets, what it can see, and how teams stay out of the way of other teams.

4 lessons

Namespace as a Product30 min Preview Environments and What They Cost32 min The Developer's View of Production Access30 min Noisy Neighbours Between Teams30 min

The Platform API and Its Versions

The interface developers write against, and changing it after everyone depends on it.

4 lessons

Designing the Interface Developers Write32 min Breaking Changes in an Abstraction Everyone Uses32 min Rolling Out a Change to 200 Services34 min Deprecating a Golden Path30 min

Measuring and Operating the Platform

Whether the platform is working, and what happens when it is the thing that is broken.

5 lessons

Adoption as the Primary Metric30 min Measuring Developer Experience Honestly32 min Support Load and What It Tells You30 min When the Platform Is the Outage32 min The Platform Team's On Call30 min

Capstone

A complete internal developer platform design for a stated organisation, with explicit tradeoffs.

1 lessons

Capstone: Design the Internal Developer Platform60 min

About the Author

Sharon Sahadevan

AI Infrastructure Engineer

Building production GPU clusters on Kubernetes. H100s, large-scale model serving, and end-to-end ML infrastructure across Azure and AWS.

10+ years designing cloud-native platforms with deep expertise in Kubernetes orchestration, GitOps (Argo CD), Terraform, and MLOps pipelines for LLM deployment.

Author of KubeNatives, a weekly newsletter read by 3,000+ DevOps and ML engineers for production insights on K8s internals, GPU scheduling, and model-serving patterns.

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