Kubernetes: Self-Hosted or Managed? The Real Math

You're deciding whether to run Kubernetes yourself or use a managed service.

Your CTO says: "Managed Kubernetes (EKS, AKS, GKE) is expensive. We can save money by self-hosting."

Your DevOps lead says: "We don't have time to manage Kubernetes ourselves. We need managed."

Both are partially right. Both are partially wrong. The answer depends on your specific situation.

Here's the problem: Everyone quotes infrastructure costs, but hides operational costs. The real math includes:

• Infrastructure (obvious)
• Operations (hidden)
• Staffing (very hidden)
• Opportunities lost while your team fights infrastructure

A company can cut its cloud infrastructure bill while quietly spending far more on engineers fighting that infrastructure. The net result is a loss, not a saving.

This article walks through the actual financial calculation.

The Managed Kubernetes Model

Managed Kubernetes (EKS, AKS, GKE, Hikube.cloud) means a cloud provider manages the control plane.

What's included:

• Master node management (etcd, API server, scheduler)
• Security updates and patches
• Cluster upgrades
• High availability and disaster recovery
• API access and networking
• Audit logging and monitoring integration

What you still manage:

• Worker nodes (compute)
• Networking configuration
• Storage
• Add-ons (ingress controllers, operators)
• Application deployments
• Monitoring and logging

Cost structure:

• Control plane fee: a modest flat rate (depending on provider)
• Worker node compute: scales with instance size, per node
• Storage and networking: Variable

Total for mid-sized cluster (10 nodes):

• Control plane: a small flat fee
• 10 worker nodes: the bulk of the infrastructure bill
• Storage/networking/load balancing: a variable add-on
• Total: dominated by worker node compute, with a modest control plane fee on top

The Self-Hosted Kubernetes Model

Self-hosted means you run the entire Kubernetes stack: control plane, worker nodes, everything.

What you manage:

• Master node infrastructure and redundancy
• etcd backup and recovery
• API server security and scaling
• Scheduler configuration
• Worker node management
• All networking
• All storage
• All monitoring

Cost structure:

• Master nodes (3x high-availability): an extra infrastructure line the managed model absorbs
• Worker node compute: same as managed, per node
• Storage and networking: Variable
• Software costs (logging, monitoring, backup): a recurring tooling budget
• Staff to manage it: 1 engineer minimum, usually 1.5-2 FTE

Total for mid-sized cluster (10 nodes):

• Infrastructure: comparable to managed, plus the master nodes
• Additional software: a recurring tooling line
• Staff: at least 1 FTE engineer, the single largest line
• Total: several times the managed bill once staff is included

Plus opportunity cost (engineer time could have been spent on product features).

The Real Decision Matrix

Here's what actually determines whether to go managed or self-hosted:

The key insight: This is not primarily a cost decision. It's a team capacity decision.

The Hidden Costs of Self-Hosted

Everyone sees the infrastructure cost difference. Few account for all the hidden costs.

1. Redundancy and High Availability

Managed Kubernetes gives you HA as standard. Self-hosted requires you to build it.

Self-hosted HA setup:

• 3 master nodes for etcd quorum
• Load balancer for API server
• Secondary DNS server
• Network redundancy
• Total: a recurring additional line you build and carry yourself

This is usually not included in "self-hosted" cost estimates.

2. Disaster Recovery and Backups

Managed services have backup and recovery built in. Self-hosted requires you to implement it.

What you need:

• etcd backup automation: Development time (1-2 weeks)
• Backup storage (separate region): a recurring line
• Restore testing (quarterly): 2-3 days per quarter
• Disaster recovery runbooks: Development time (1 week)

Cost: an upfront build plus an ongoing storage line

3. Security and Compliance Updates

Kubernetes releases security updates constantly. Managed services patch automatically. Self-hosted requires you to:

• Monitor security advisories
• Test patches in staging
• Plan upgrades
• Execute upgrades
• Verify no breakage

Estimate: 2-3 days per quarter = about 1 week of engineering time per year

4. Monitoring, Logging, and Observability

Managed services integrate with cloud provider monitoring. Self-hosted requires separate tooling.

What you need:

• Prometheus for metrics: Development and maintenance (1 week setup, 2 days/quarter maintenance)
• ELK or similar for logging: Development and maintenance (2 weeks setup, 4 days/quarter)
• Alerting and paging: Integration work (1 week)
• Tracing infrastructure: Development (1-2 weeks)

Cost: a meaningful upfront build plus an ongoing tools-and-staff line

5. Networking and DNS

Managed Kubernetes simplifies networking. Self-hosted requires complex network management.

What you need:

• Custom CNI configuration: Development time (1 week)
• Network policies: Development time (1 week)
• Ingress controller: Setup and management (1 week setup, 2 days/quarter)
• Service mesh (if needed): Development time (2-4 weeks)

Cost: a one-time engineering investment

6. Storage Management

Managed services provide integrated storage. Self-hosted requires you to manage storage.

What you need:

• NFS or SAN infrastructure: a recurring line
• Persistent volume management: Development time (1 week)
• Backup and recovery for stateful data: Development time (2 weeks)

Cost: a recurring infrastructure line + development time

The Staffing Reality

The single biggest hidden cost of self-hosted Kubernetes: People.

A realistic self-hosted staffing model:

You might argue, "Our engineers can learn Kubernetes and self-host it." That's technically true. But:

• Learning curve is 2-3 months to basic competency
• Full competency (handling all edge cases) is 1-2 years
• During learning, your team can't work on product

That 2 FTE payroll line should be included in any self-hosted ROI calculation.

The Actual Cost Comparison

Let's build a realistic financial model for two scenarios:

Scenario 1: Managed Kubernetes (AWS EKS)

Control plane: a small flat fee
10 m5.large nodes: the bulk of the bill
Load balancers: a minor line
Storage/networking: a minor line
Monitoring integration: a minor line
Staff (0.2 FTE for administration): a light staffing line
Total annual cost: baseline (call it 1x)
Cost per node: the managed per-node baseline

Scenario 2: Self-Hosted Kubernetes

Infrastructure:
- 3 master nodes (m5.large): an extra line vs managed
- 10 worker nodes (m5.large): same as managed
- Load balancer: a minor line
- Storage: a minor line
- Networking: a minor line

Software/Tools:
- Monitoring and logging: a recurring line
- Backups and DR: a minor recurring line
- Licenses: a minor line

Staff (2.0 FTE):
- The single largest line, roughly 10x the managed staffing line

Total annual cost: about 2x the managed scenario
Cost per node: about 2x the managed per-node cost

The math: Managed Kubernetes costs 47% of self-hosted for this scenario.

When Self-Hosted Actually Wins

There are specific situations where self-hosted is genuinely better:

1. You Have Existing Kubernetes Expertise

If you have a team with 5+ years of Kubernetes experience, self-hosting overhead is lower. You already know the hard parts.

Cost advantage: 20-30% savings possible

2. Multi-Cluster at Scale

If you run 10+ clusters, per-cluster managed Kubernetes fees add up.

Example:

• Managed: 10 clusters each carrying a per-cluster control plane fee, which adds up
• Self-hosted: Amortized over 10 clusters, control plane staff is 0.5 FTE instead of 2.0 FTE

Cost advantage: Maybe 10-15%

3. Extreme Cost Sensitivity with Minimal Complexity

If you run simple workloads (stateless, low scale), self-hosting overhead is lower.

Example: 5-node cluster running simple containerized apps

• Managed: lower total cost
• Self-hosted: still higher (includes staffing but lower complexity), though the gap narrows

Still more expensive, but gap narrows

4. Special Compliance Requirements

Some regulated industries require complete control over infrastructure.

Cost: Compliance value justifies self-hosting

The "Hybrid" Approach: Managed for Most, Self-Hosted for Special Cases

Many large organizations use both:

Use managed Kubernetes for:

• General application workloads
• Development and test clusters
• New projects
• Services without special requirements

Use self-hosted (or alternative) for:

• Highly regulated workloads (if compliance demands it)
• Legacy systems already running Kubernetes
• Extreme cost sensitivity (if you can staff it)

Hidora's approach (Swiss context): Hikube.cloud is managed Kubernetes optimized for Swiss data sovereignty requirements. It provides the benefits of managed (HA, backups, updates) while meeting Swiss compliance needs.

This is often better than self-hosting in a Swiss colocation facility (which has the same staffing costs but less operational sophistication).

Making the Decision Framework

Step 1: Calculate your actual staffing costs

• How many engineers would managing Kubernetes consume?
• What else could those engineers build?
• What's the opportunity cost?

Step 2: Calculate infrastructure costs

• Managed: Control plane + compute + storage
• Self-hosted: All infrastructure + redundancy + backup storage

Step 3: Calculate operational software costs

• Monitoring, logging, networking, storage management
• License costs for tools

Step 4: Add compliance and risk factors

• Time to recover from cluster failure
• Regulatory audit effort
• Security review frequency

Step 5: Make the decision If (staffing + operational + infrastructure cost for self-hosted) > (staffing + infrastructure cost for managed), choose managed.

For most organizations with < 5 Kubernetes clusters, managed wins financially.

The Practical Recommendation

Default to managed unless you have:

1. Specific compliance requirement for self-hosting, OR
2. 10+ clusters where per-cluster fees become material, OR
3. Existing Kubernetes expertise (multiple years, multiple engineers)

Special case: Swiss organizations Consider Swiss cloud providers like Hidora/Hikube.cloud if:

• You need Swiss data sovereignty (nLPD compliance)
• Managed Kubernetes cost is acceptable (usually 15-20% premium over global cloud)
• You want the benefits of managed without cloud lock-in

The Swiss premium is often worth it for the compliance certainty and data control.

The Real Math Favors Managed Kubernetes

Managed Kubernetes is almost always cheaper than self-hosting when you account for all costs.

The hidden costs of self-hosting (redundancy, backup, security updates, monitoring, staff) usually exceed the control plane fees of managed services.

Self-hosted wins only in specific scenarios:

• You have substantial Kubernetes expertise
• You run at massive scale (10+ clusters)
• You have special compliance needs

For most enterprises: Choose managed, allocate your engineers to building product, and let cloud providers manage infrastructure complexity.

Related reading:

• Cloud Cost Optimization: What Your CFO Wants to Hear
• Choosing a DevOps MSP: What You Really Need to Know

Evaluating Kubernetes options? Hidora specializes in managed Kubernetes for Swiss enterprises: Managed Kubernetes (Hikube.cloud) · Cost Analysis Consulting · Migration Services