Managed Kubernetes или самостоятельная установка — что выгоднее для бизнеса

A team decides to move to Kubernetes — and the question comes up immediately: set up the cluster yourselves or use managed k8s from a provider? 
At first glance, self-managed looks cheaper. In practice it isn't. Let's break it down point by point — what actually goes into the cost of each option and when each choice makes sense.

What self-hosted Kubernetes means

Self-managed Kubernetes is when you deploy and maintain the entire cluster yourself: the control plane, worker nodes, network plugins, updates, monitoring, and security. The tools exist — kubeadm, kubespray, k3s — but each one requires a deep understanding of k8s architecture.

Any control plane failure, network issue, or incompatibility after an update is your responsibility. A DevOps engineer with Kubernetes administration experience is needed not only for the initial setup, but for ongoing cluster maintenance.

What Managed Kubernetes is

Managed Kubernetes is a ready-to-use cloud k8s cluster where the provider takes on the operational load of running the infrastructure. SERVERPLUS manages the control plane, performs Kubernetes updates, monitors cluster availability, and backs up the configuration. You manage only your applications and worker nodes — everything else is on the provider's side.

Comparison: managed k8s vs self-hosted

Managed Kubernetes and a self-hosted installation differ across six key parameters.

Time to launch. With self-managed — from several days to several weeks. With Managed Kubernetes (SERVERPLUS), the cluster is ready for deployment as soon as it is created.

Team requirements. Self-managed requires a DevOps engineer with deep experience administering k8s. For Managed Kubernetes, knowing kubectl is enough.

Updates. With self-managed, updates are performed manually, with a risk of component incompatibility. With Managed Kubernetes, the provider performs updates without taking the cluster offline.

Control plane. With self-managed, a control plane failure is your team's responsibility. With Managed Kubernetes, control plane availability is guaranteed by the provider.

Monitoring. With self-managed, monitoring (Prometheus, Grafana) is set up on your own. With Managed Kubernetes, basic monitoring is enabled by default.

Cost. Self-managed looks cheaper at first glance, but it carries hidden DevOps costs. Managed Kubernetes — a fixed cost with no unforeseen expenses.

The hidden costs of self-hosted Kubernetes

Many teams underestimate the real cost of a self-managed cluster, counting only the cost of the servers. But behind the servers are people and time.

DevOps engineer time to launch. Initial setup of a Kubernetes cluster from scratch takes 40 to 80 hours of a specialist's work. This includes selecting and configuring the CNI plugin, the Ingress controller, the storage system, monitoring, and security policies.

Ongoing maintenance. Kubernetes releases new minor versions every 4 months. Each update means testing component compatibility, a risk of breakage, and manual work. Plus incident analysis, resource optimization, and certificate rotation.

Downtime during failures. If the control plane goes down or network problems occur, recovery time depends solely on your team. If the incident happens at night or on a weekend, it is a matter for the on-call DevOps engineer.

Monitoring and alerting. Setting up Prometheus, Grafana, and an alerting system is a project within a project. Without monitoring, you find out about problems only once they have already affected users.

Security. RBAC policies, network policies, log auditing, security component updates — all of this takes time and expertise. An unpatched vulnerability in a k8s cluster is a serious risk.

With managed k8s at SERVERPLUS, all these costs are included in the price of Kubernetes cluster hosting. You pay a predictable fixed amount with no unexpected support expenses.

When self-hosting is justified

Self-managed Kubernetes makes sense in specific situations — it is not always a bad choice:

• The team has a dedicated DevOps engineer with deep hands-on experience administering k8s.

• The project requires a non-standard cluster configuration that a managed provider does not support.

• There are strict infrastructure isolation requirements or specific regulatory requirements.

• The scale of the project (hundreds of nodes) justifies maintaining a dedicated k8s team.

In all other cases, managed k8s saves real time and money — especially for teams that want to focus on building the product rather than administering infrastructure.

When to choose Managed Kubernetes

Managed Kubernetes is optimal if:

• The team wants to focus on development rather than infrastructure maintenance.

• There is no dedicated DevOps engineer with experience administering a Kubernetes cluster.

• Speed of launch matters — cloud Kubernetes is ready for deployment as soon as it is created.

• You need predictable k8s hosting costs without unexpected support and incident expenses.

• The project uses a microservices architecture and Docker containers and wants to build out CI/CD.

• High availability is required without arranging after-hours DevOps on-call coverage.

A real-world scenario: a startup moves to k8s

A team of 5 developers is launching a microservices application. There is one DevOps engineer — he handles CI/CD, monitoring, and infrastructure. The options:

Self-managed. The DevOps engineer spends 2 weeks setting up the cluster, plus several hours a month on maintenance. When an incident occurs, the whole cluster is on him. Developers wait for the infrastructure to come back up.

Managed k8s SERVERPLUS. The DevOps engineer configures namespaces, deployments, and CI/CD in 1–2 days. The control plane runs, is updated, and is monitored by the provider. The team deploys from day one. The DevOps engineer works on tasks that genuinely add value to the product.

Managed Kubernetes at SERVERPLUS

Cloud Kubernetes at SERVERPLUS is deployed on servers in an Uzbek data center connected to TAS-IX. This means minimal latency for local applications and compliance with data storage legislation. You get a ready-to-use managed k8s cluster, technical support in Russian, and the ability to scale worker nodes as your project grows.

Submit a request — we will help you choose a Kubernetes cluster configuration for your workloads and discuss the deployment architecture.