Kubernetes operations carry costs beyond infrastructure spend. The question is whether your organization has the ownership, expertise, and capacity to operate production Kubernetes over time.
Kubernetes has become established infrastructure for many organizations. But launching a cluster is different from operating production Kubernetes reliably over time.
The cost of getting Kubernetes operations wrong is not limited to an infrastructure bill or the duration of a production incident. It also includes the engineering time required to investigate platform issues, maintain the Kubernetes environment and its supporting components, respond to changing requirements, and keep operating practices consistent as clusters, applications, and teams grow.
For leaders, the question is not whether their engineers are capable of running Kubernetes. Many are. The more useful question is whether self-managing Kubernetes is the right use of the organization’s time, expertise, and attention.
Operating Kubernetes in production requires planning for availability, changing demand, and secure access, and it’s not a project with a clean finish line.
Kubernetes releases and supporting components change, cloud services evolve, and application teams introduce new resource-intensive requirements, such as scaling AI inference. A cluster that is well designed at launch still requires ongoing maintenance across upgrades, worker nodes, networking, monitoring, and infrastructure incidents.
None of that means that Kubernetes is the wrong technology. It means Kubernetes needs clear operational ownership. Without it, platform responsibilities can accumulate around engineers whose core job is building applications, enabling developers, or maintaining business-critical services. Those teams may be able to handle Kubernetes work when it arises. But when infrastructure issues compete with product commitments and other strategic priorities, leaders need to decide whether the current ownership model is still the right one.
One of the clearest costs is opportunity cost. Every hour spent resolving a cluster issue, coordinating an upgrade, or investigating a networking problem is an hour that cannot be spent on the application, platform capability, or customer experience that differentiates the business.
Cloud-managed Kubernetes services, such as Amazon Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), and Google Kubernetes Engine (GKE), reduce the responsibility an organization carries for the Kubernetes control plane.
That’s valuable. It does not mean the full Kubernetes platform is managed.
Teams still need to make and maintain decisions around the Kubernetes platform that exists beyond the control plane. Depending on the environment, that can include worker nodes, cluster networking, add-ons, DNS, monitoring, upgrades, security practices, and the way those components work together.
Cloud-managed Kubernetes and Managed Kubernetes-as-a-Service address different layers of responsibility. A cloud provider can manage core Kubernetes capabilities, while a Managed Kubernetes partner can take responsibility for agreed Kubernetes infrastructure operations and work with an internal team on the shared areas that remain.
Self-managed Kubernetes can be the right choice for organizations with a dedicated platform or SRE team, a well-defined operating model, and a strategic reason to keep Kubernetes operations in-house.
Some teams have highly specialized requirements. Others view Kubernetes expertise as a core part of their platform strategy. In those situations, investing in the people, processes, operational coverage, and ongoing maintenance required to manage Kubernetes can be intentional and justified.
But assigning Kubernetes responsibilities alongside product work is not the same as staffing for Kubernetes operations. Running the platform over time requires sustained attention to cluster lifecycle management, upgrades, incident response, security, and the infrastructure work required to support production workloads.
The decision should be based on the level of Kubernetes responsibility an organization wants to maintain internally, not on the assumption that a team must handle every aspect of Kubernetes simply because it runs Kubernetes. Bringing in a Managed Kubernetes-as-a-Service provider can make sense when ongoing operational work begins competing with the platform, product, and customer priorities internal teams need to own.
Managed Kubernetes-as-a-Service provides a clearer division of responsibility for organizations that need dependable Kubernetes infrastructure without building and maintaining a complete Kubernetes operating function internally.
With Fairwinds Managed Kubernetes-as-a-Service, customers remain responsible for the application layer: their applications, services, and business logic. Fairwinds manages the Kubernetes layer, including the control plane and worker nodes, cluster networking, and agreed add-on upgrades. DNS and monitoring are managed in partnership with the customer.
That shared-responsibility model is important. Managed Kubernetes is not about removing internal engineering or SRE teams from infrastructure decisions. It is about giving them a partner with defined responsibility for the Kubernetes platform, so internal teams can focus on the work that is most important to the business.
Fairwinds can build and manage Kubernetes infrastructure based on an organization’s requirements, then provide ongoing support as those requirements evolve. Fairwinds Managed Kubernetes-as-a-Service supports AKS, EKS, GKE, and other Kubernetes environments.
Before deciding to self-manage Kubernetes, leaders should be able to answer several practical questions:
If those answers are unclear, the issue is not necessarily technical capability. It may be that the organization has not yet made a deliberate decision about who owns the ongoing work of running Kubernetes.
For some organizations, building that capability internally is the right investment. For others, a Managed Kubernetes partner provides defined support for the Kubernetes infrastructure responsibilities that would otherwise compete with the work internal teams need to prioritize.
See how Fairwinds Managed Kubernetes-as-a-Service can support your Kubernetes infrastructure.