EKS vs GKE

Managed K8s.

Overview

EKS and GKE both run upstream Kubernetes, but GKE has historically led on Kubernetes-as-a-product (Autopilot, automatic upgrades, deeper opinionated defaults) while EKS leads on AWS-ecosystem integration breadth. The choice almost always follows cloud gravity rather than feature parity.

• EKS. Tight AWS IAM and VPC integration, mature add-on ecosystem (AWS Load Balancer Controller, EBS CSI, Karpenter), per-cluster control-plane fee.
• GKE. GCP-native networking, Autopilot mode that abstracts node management entirely, fast Kubernetes upstream-version cadence, native Cloud Logging/Monitoring.
• Operational fit. Where data and identity already live in AWS, EKS wins; where the team prefers managed-everything and runs on GCP, GKE Autopilot is hard to beat.
• Per-cluster decision and exit cost. Workloads port; cluster-level glue (IAM, networking, observability) is the migration tax.

The approach

Pick on cloud gravity first, autopilot-versus-control preference second. Cross-cloud Kubernetes for portability is mostly a separate (harder) decision.

• Cloud-gravity check. Whichever cloud holds your data, identity, and existing IaC patterns wins by default.
• Autopilot vs node-management preference. Teams that want zero node management prefer GKE Autopilot; teams that want fine-grained control over instance types prefer EKS with Karpenter or GKE standard.
• Cost modelling. Control-plane fees, node prices, egress, and observability charges all vary; published per-vCPU rates rarely match real bills.
• Document the choice and the trigger to revisit. Capture rationale and the conditions (regional gap, autopilot maturity, pricing change) that would flip it.

Why this compounds

One managed-K8s flavour per cloud keeps paying back: deploy pipelines, IAM patterns, observability adapters, and on-call muscle memory all anchor on the same surface.

• Operational consolidation. Fewer flavours means fewer add-on combinations to test, fewer breakage modes for on-call.
• Cost predictability. A documented choice keeps surprise bills out of the next quarter.
• Operational reliability. Managed control planes upgrade on a schedule the team can plan around instead of own.
• Decision trail for the next cluster. Each documented choice teaches the next team which questions to ask, not which cluster to default to.