Hosted vs. self-hosted control planes

One of the first decisions teams face when adopting Konstruct is whether to run the control plane themselves or have it managed for them. While this can look like a simple deployment choice, it is really a question of operational responsibility, control, and how your platform needs to evolve over time.

Both models exist to solve the same underlying problem: providing a consistent, GitOps-driven platform across teams and environments. The difference is not in what you can build, but in how much of the system you are responsible for operating.

What is a hosted control plane?

The hosted control plane is designed to remove as much operational overhead as possible, particularly in the early stages of platform adoption. Instead of provisioning infrastructure and designing for availability, you can start with a working system in minutes and focus immediately on delivering value to your teams.

Civo operates and maintains the control plane, which means upgrades, patching, and availability are handled as part of the service. This significantly reduces the amount of platform engineering effort required to get to a production-ready baseline.

This model does introduce constraints, but they are deliberate. You do not have direct kubectl access to the control plane cluster, and you cannot modify its internal operators or pin specific versions. These limitations reduce complexity and eliminate entire categories of operational failure, particularly for teams that do not yet need deep control over the platform internals.

For teams evaluating Konstruct, or for organizations that want to prioritize speed and simplicity over customization, the hosted model provides the lowest-friction path to a functioning platform.

What is a self-hosted control plane?

The self-hosted model is built for teams that need full control over every layer of the system, including the control plane itself. In this model, you provision and operate the control plane on infrastructure of your choosing, whether that is a public cloud, private cloud, or bare metal environment.

This unlocks capabilities that are not available in the hosted model. You can access the control plane cluster directly using kubectl, configure and extend Konstruct operators, and pin platform versions to align with your internal release processes. Authentication can be integrated with your existing identity systems, and deployments can be tailored to meet strict compliance or data residency requirements.

That flexibility comes with additional responsibility. You are now accountable for control plane availability, upgrade strategy, and lifecycle management, just as you would be for any other critical Kubernetes system. Setup also takes longer, as you are building the full platform stack rather than consuming it as a service.

For organizations operating in regulated environments, running air-gapped systems, or requiring multi-cloud and on-premise management clusters from day one, this model provides the control surface necessary to meet those constraints.

Hosted vs. self-hosted control planes

Which option should you pick?

Summary

Both deployment models ultimately deliver the same core outcome: a GitOps-driven platform where your teams own their environments, their workflows, and their applications. The difference lies in who operates the control plane and how much responsibility you are willing to take on.

The hosted model optimizes for speed and simplicity by abstracting the control plane away. The self-hosted model optimizes for control and flexibility by exposing it fully.

Choosing between them is not about which is more capable, but about which aligns with how your organization needs to operate today, and how much of the platform you want to own.