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Druhin Dhavala
Druhin Dhavala

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From Kong-on-K8s to AWS Serverless in 24 Hours: Building a Production‑Grade API Platform

I’ve spent years in the API platform world — Apigee, Kong, hybrid gateways, multi‑DC deployments, modernization programs, and platform rescues. But this week, I decided to do something different:

Rebuild an entire API platform on AWS — from scratch — in under 24 hours.

Not a demo.
Not a tutorial.
A production‑grade platform with:

  • API Gateway v2
  • Lambda
  • Terraform IaC
  • CloudWatch Golden Signals
  • k6 performance testing
  • real JSON business logic
  • alarms, dashboards, and cost controls

The result:

  • 2.9k req/min sustained throughput
  • 120ms p95 latency
  • $0.01/day serverless economics
  • Zero‑drift Terraform
  • Fully observable, fully automated, fully validated

This wasn’t a “hello world” experiment.
It was a full platform build.

Why I moved from Kong-on-K8s to AWS Serverless (for this POC)
I’ve built and operated large-scale API platforms on:

  • Kong (K8s, hybrid, multi‑cluster)
  • Apigee OPDK
  • Apigee Hybrid
  • Apigee X
  • Gravitee
  • Custom gateways

They’re powerful — but they come with:

  • cluster management
  • upgrades
  • patching
  • scaling policies
  • ingress complexity
  • cost overhead
  • operational drag

For this POC, I wanted to see:

What happens when you remove all of that?
What happens when the gateway is the platform?

AWS API Gateway + Lambda answered that question fast.

Architecture Overview
The platform includes:

  • API Gateway v2 (HTTP APIs)
  • Lambda (Node.js backend)
  • Terraform (IaC, modules, zero drift)
  • CloudWatch (metrics, dashboards, alarms)
  • k6 (load testing)
  • IAM (least privilege)

Endpoints:

Code
/api/orders
Returns JSON business logic with consistent performance under load.

Performance Results
Using k6 (50 VUs):

  • 2.9k requests/min
  • 120ms p95 latency
  • 0 errors
  • Stable concurrency
  • No cold start issues

This is production‑grade performance with almost no operational overhead.

Cost Profile
This is the part that surprised me most.

$0.01/day.
Not a typo.
API Gateway + Lambda + CloudWatch + logs + alarms — all in pennies.

This is the kind of economics that changes how you think about platform design.

Lessons Learned

  1. Serverless removes 80% of platform overhead No clusters. No ingress. No autoscaling configs. No patching. No node pools.

Just APIs.

  1. Terraform + API Gateway is a clean combination
    The IaC story is far simpler than K8s CRDs, Helm charts, or hybrid gateway configs.

  2. Observability is built-in
    CloudWatch Golden Signals gave me everything I needed:

  • latency
  • errors
  • duration
  • concurrency
  • throttles
  1. Load testing serverless is fun
    k6 + API Gateway is a great combo.
    You see the platform scale instantly.

  2. Cost is a superpower
    When your platform costs pennies, you design differently.

What’s Next
This is just the beginning.

Next steps include extending this blueprint into:

Azure API Management
GCP Apigee X

The goal:
A multi‑cloud API platform reference architecture with:

  • one API spec
  • three cloud deployments
  • cost comparison
  • latency comparison
  • governance model
  • migration strategy

Full Code, IaC, Load Tests, and Screenshots
Everything is open-source here:

👉 GitHub:

https://github.com/ddruhin/cloud-native-api-platform

If you’re working on API modernization, serverless platforms, or multi‑cloud strategy, feel free to reach out or fork the repo.

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