---
title: "Amazon EKS as a Platform Boundary Map"
description: "See how a shared Amazon EKS architecture separates workloads, platform services, and network connectivity so teams can scale delivery without multiplying operational ownership."
---

# Amazon EKS as a Platform Boundary Map

**Type:** [Architecture](https://yomu.fyi/visual-explainers/category/architecture.md)

![Layered architecture diagram showing workload accounts connected to shared platform services and a separate network account through directional links.](https://yomufyi.s3.us-east-1.amazonaws.com/visual-explainers/e188f464-c5fb-4ea2-9920-15e5cf3b41f3/image-d19f99ce-4697-4c7a-9b2b-1fe882b6925b.webp)

> See how a shared Amazon EKS architecture separates workloads, platform services, and network connectivity so teams can scale delivery without multiplying operational ownership.

## Explanation

Amazon EKS can be organized as a platform boundary rather than a collection of isolated clusters. The architecture separates Workloads, Platform, and Network accounts: application workloads span two Availability Zones, shared services and delivery tooling sit in the Platform account, and cross-account or multi-Region connectivity is handled in the Network account. This model clarifies ownership, reduces duplicated infrastructure practices, and gives engineers a practical way to reason about scale and operations.

## FAQ

### Why separate Workloads, Platform, and Network accounts?

The separation gives cloud operations ownership of shared platform capabilities while application teams focus on business services. It also makes cross-account connectivity and service boundaries explicit instead of repeating infrastructure practices in every cluster.

### What belongs in the shared Platform account?

The supplied architecture places shared data services, GitHub Runners, and platform services there. These are common capabilities used by workload teams, rather than application-specific business services.

### What is the main trade-off of this architecture?

Centralizing platform ownership can reduce operational sprawl and standardize infrastructure, but it creates a dependency on the cloud operations team. Clear ownership boundaries and reliable network connectivity are therefore important conditions for the model to work.

**Tags:** [Amazon EKS](https://yomu.fyi/topic/amazon-eks.md), [Architecture](https://yomu.fyi/topic/architecture.md), [AWS](https://yomu.fyi/topic/aws.md), [Kubernetes](https://yomu.fyi/topic/kubernetes.md)

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### [MLOps Frameworks: A Complete Guide to Tools and Platforms for Production ML](https://yomu.fyi/post/mlops-frameworks-a-complete-guide-to-tools-and-platforms-for-productio.md)
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### [How Equinix cut operational overhead with a shared services architecture on Amazon EKS](https://yomu.fyi/post/how-equinix-cut-operational-overhead-with-a-shared-services-architectu.md)
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Equinix replaced its self-managed Kubernetes environment on Amazon EKS to address operational sprawl caused by independently managed clusters and inconsistent infrastructure practices. The new shared services architecture assigns platform ownership to a cloud operations team while application teams focus on business services. It uses separate Workloads, Platform, and Network accounts: workloads run across two Availability Zones with ALB, Gateway API, Cilium, and Hubble, while shared data services, GitHub Runners, and platform services reside in the Platform account. The Network account provides cross-account and multi-Region connectivity through AWS Transit Gateway, Route 53 Resolver, and Direct Connect. Equinix reports 40% lower operational overhead, 4x higher deployment frequency, and adoption of a unified architecture across multiple business organizations.
