Kubernetes for Irish Teams: When GKE Makes Sense BuiltBrilliant

Kubernetes is the default answer in too many architecture meetings and the right answer in too few. The honest decision for Irish teams is the same one our serverless vs VMs guide applies to everything: match the tool to the workload, not the workload to the tool.

When GKE makes sense

Multi-service platforms. When you run several services with shared infrastructure needs, Kubernetes gives you one platform instead of several bespoke setups.
Teams that already know it. If your engineers operate Kubernetes well, GKE removes the control-plane chores while keeping the familiar model.
Portability requirements. Containers that must run in multiple environments, cloud and on-premise, travel best on Kubernetes.
AI and batch workloads at scale. Orchestrating GPU workloads and scheduled jobs is a strength of the platform, and our managed GKE AI case study shows the working version.

When it does not

Small applications. A single service does not need a cluster; Cloud Run runs it cheaper and simpler.
Spiky traffic. Serverless scales to zero; a cluster bills through the quiet hours, the economics from our serverless guide.
Teams without Kubernetes operators. The platform’s complexity is real, and an unmanaged cluster is a liability, the security checklist multiplied.

The honest cost picture

The cluster has a floor: control plane, nodes, and the operational discipline. Serverless has a floor of near zero. The crossover where Kubernetes wins is sustained, predictable load across multiple services, which is why the decision belongs in the cloud cost guide conversation, not the architecture fashion conversation.

How we decide it for clients

We model both options on real usage before recommending one, run GKE where it wins, and keep the rest on Cloud Run and Functions. If you are being told you need Kubernetes, book a call and we will tell you honestly whether you do.