Kubernetes: When It Makes Sense (and When It Doesn't)

Kubernetes gets adopted for two very different reasons: because a team has outgrown simpler deployment models, or because it's assumed to be the default choice for 'serious' infrastructure. Only the first reason holds up under scrutiny.

Kubernetes earns its complexity when you have multiple services that need independent scaling, when deployment frequency is high enough that manual orchestration becomes a bottleneck, or when you need consistent behavior across many environments or clusters.

It's the wrong first step for a single application with predictable load, a small team, or an early-stage product still finding its architecture. In those cases, a simpler container platform or managed application hosting service delivers most of the benefit with a fraction of the operational overhead.

The operational cost of Kubernetes is often underestimated. Someone on the team needs to understand networking, ingress, secrets management, and cluster upgrades, or you need a partner who does. Without that expertise, Kubernetes becomes a source of incidents rather than a solution to them.

A practical middle path exists: start with managed Kubernetes offerings like AKS or EKS, which remove control-plane management overhead, and adopt a small, well-understood set of patterns before expanding. Most production issues we see come from teams who copied a complex reference architecture before they needed it, not from Kubernetes itself.

The right question isn't 'should we use Kubernetes' in the abstract. It's whether your current deployment model is actually the bottleneck limiting your team, and whether you have, or can access, the operational expertise to run it well.