Platform APIs and Abstractions

📖 Introduction

One of the most important lessons I've learned in platform engineering is that the API is the product. No matter how sophisticated your underlying infrastructure, if developers can't interact with it through well-designed APIs, adoption will struggle.

Platform APIs create the abstraction layer that hides infrastructure complexity while exposing the capabilities developers actually need. In this article, we'll explore how to design platform APIs, leverage Kubernetes operators for automation, and use tools like Crossplane for infrastructure abstraction.


🎯 What Are Platform APIs?

Definition

Platform APIs are programmatic interfaces that expose platform capabilities as self-service resources. They abstract underlying infrastructure complexity while maintaining the flexibility developers need.

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API Design Principles

Principle
Description
Example

Declarative

Describe desired state, not steps

"I want a database" not "create RDS, configure VPC..."

Self-Describing

APIs document themselves

OpenAPI specs, CRD schemas

Versioned

Backward compatible evolution

v1alpha1 → v1beta1 → v1

Consistent

Predictable patterns

Same structure across resources

Observable

Status reflects reality

Conditions, events, metrics


🔧 Kubernetes Custom Resources

The Power of CRDs

Custom Resource Definitions (CRDs) extend Kubernetes with your own resource types, creating a declarative API for your platform.

Using the Custom Resource


🎮 Kubernetes Operators

Operator Pattern

Operators encode operational knowledge into software, automating the lifecycle management of applications and infrastructure.

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Python Operator with Kopf


🌉 Crossplane for Infrastructure

What is Crossplane?

Crossplane extends Kubernetes to manage any infrastructure resource using the same declarative approach as Kubernetes resources.

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Crossplane Composition

Python Client for Crossplane Resources


🔌 REST API Design

Platform API Gateway


📊 API Versioning Strategy

Version Evolution

Conversion Webhook


✅ Best Practices

API Design

  1. Start declarative - State what you want, not how to get it

  2. Use schemas - Strong typing catches errors early

  3. Version from day one - Plan for evolution

  4. Include status - Users need to know what's happening

  5. Document with OpenAPI - Self-documenting APIs

Operators

  1. Be idempotent - Same input = same output

  2. Handle errors gracefully - Update status, don't crash

  3. Use owner references - Enable garbage collection

  4. Implement finalizers - Clean up external resources

  5. Rate limit reconciliation - Avoid API throttling

Crossplane

  1. Start with compositions - Build abstractions early

  2. Use claims - Separate consumer from implementation

  3. Test compositions - Validate before production

  4. Monitor drift - Ensure desired state matches actual


🔗 What's Next?

In Article 10: Security and Compliance, we'll explore how to embed security into your platform using policy as code, shift-left security practices, and compliance automation.


📚 References

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