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The Cost of EKS Auto + Capabilities vs Fairwinds Managed KaaS

Written by Andy Suderman | Jan 15, 2026 6:25:24 PM

Amazon Web Services (AWS) has shifted more of the infrastructure burden from the customer to the service by automating Kubernetes management with Amazon Elastic Kubernetes Service (EKS) Auto Mode and EKS Capabilities. These features automate much of the cluster infrastructure (provisioning, scaling, networking, and storage) on top of the core EKS control plane. What they don’t do is own your Kubernetes platform end‑to‑end: architecture, add‑ons, upgrades, and 24×7 incident response are still your team’s responsibility.

Fairwinds Managed Kubernetes‑as‑a‑Service (KaaS) is designed for teams that want to hand off that platform ownership. Instead of paying AWS a premium support add-on fee and then staffing an internal platform team anyway, you pay for a managed platform where Fairwinds is designing, running, and supporting Kubernetes across your clusters.

In this post, you'll learn what EKS Auto Mode and EKS Capabilities actually manage, what Fairwinds Managed KaaS takes off your plate, and how the costs compare when you include both AWS fees and the engineers who still have to run the platform.

What You Get with EKS Auto Mode and EKS Capabilities

EKS Auto Mode focuses on automating the infrastructure layer: automatic node provisioning, scaling, and lifecycle management, plus some configuration and security best practices out of the box. It also bundles and manages core components like networking, storage, and OS images for the compute it controls, reducing day‑to‑day toil. You still own everything above that layer: the cluster itself, the workloads, and everything around them, including application deployment pipelines, cluster‑level policies, additional add-ons and most incident response.

When you add EKS Capabilities, you are still assembling AWS‑managed pieces for specific concerns, including Managed Argo CD, Kubernetes Resource Operators (KRO), and AWS Controllers for Kubernetes (ACK). AWS does a good job of integrating these pieces and shipping sensible defaults, but they are still individual services you must choose, configure, and operate correctly for your environment. AWS and partners also provide reference architectures and best‑practice guidance, but they don’t take ongoing responsibility for designing and operating your specific platform.

That means you still don’t get:

  • Architecture and design: No one is sitting down with you to design multi‑cluster strategy, networking topology, or tenancy models.
  • 24×7 incident ownership: When something breaks, your team is still the one being paged, doing the diagnostics, and coordinating with AWS support.
  • Full add‑on management: You still need to select, deploy, and upgrade ingress controllers, monitoring agents, Container Storage Interface (CSI) drivers, backup tooling, and policy engines, along with everything else that makes a cluster production‑ready.

AWS is charging you to handle a portion of the infrastructure side of Kubernetes, not to be your platform team. For some organizations with a small number of straightforward clusters, that's exactly the right trade‑off; for others, it leaves a large and expensive gap in the middle once you factor in architecture, add‑on lifecycle, and 24×7 operations.

What You Get with Fairwinds Managed KaaS

Fairwinds Managed KaaS starts from a different premise: most teams don’t want to become Kubernetes infrastructure experts; they want a reliable, secure, cost‑efficient platform that lets them ship software without living in kubectl and AWS tickets. So instead of just enabling features, Fairwinds takes responsibility for the Kubernetes platform layer: cluster architecture, core add‑ons, upgrades, and 24×7 operations.;

Your teams still own application code, product‑specific runbooks, and business decisions; Fairwinds owns the health and evolution of the platform those workloads run on. In practice, that often means faster time to production and fewer infrastructure‑driven incidents compared to running EKS alone plus an internal platform team.

"We actually don't think about our stack anymore. We do what we need to do. We write code. It gets deployed. Everything works."
- Stan, Development Team Member at Fathom (A Fairwinds Managed Kubernetes-as-a-Service customer)

How that shows up day‑to‑day:

  • Hands‑on architecture and design
    Fairwinds engineers work with you to design your Kubernetes footprint: networking, cluster topology, multi‑cluster patterns, security boundaries, and more based on your environment, constraints, and goals. You get opinionated best practices shaped by running Kubernetes at scale for many organizations, not just defaults in a console. Typical engagements include a documented reference architecture, landing zones, and tenancy models that your teams can build on confidently, which shortens the time it takes to move from “we chose EKS” to “we have a production‑ready platform.”
  • 24×7 production on‑call
    Fairwinds provides around‑the‑clock on‑call for the Kubernetes platform so your developers and Site Reliability Engineers (SREs) are not constantly responding to cluster incidents and control‑plane alarms. For many customers, this removes a significant portion of platform‑related pages from the internal on‑call rotation.
  • Full add‑on lifecycle management
    A production Kubernetes platform is more than a control plane and nodes. Fairwinds deploys and manages a whole ecosystem of add‑ons:
    • GitOps tools, like Argo CD
    • Autoscaling (for example, Karpenter)
    • KRO, ACK, and other controllers
    • Monitoring and logging agents
    • CSI drivers and CNI
    • Security and policy tooling, and more

Those components are installed, configured, upgraded, and monitored for you. Fairwinds maintain a standardized stack across customers, so your engineers aren’t spending cycles chasing add‑on CVEs and upgrade windows.

  • Tested, curated upgrades
    Upgrades are one of the most labor-intensive parts of running Kubernetes. Fairwinds plans and executes Kubernetes version bumps and add‑on upgrades only after testing them on internal and non‑production environments, following a documented playbook. You get a safer, repeatable upgrade path instead of reading release notes and hoping nothing breaks, which reduces the risk of surprise downtime or multi‑day firefights during version changes.

The Cost Story

Now let’s look at a concrete example of a client with 150 m5a.4xlarge nodes. To keep the math simple, assume this cluster spends roughly $1,000,000 per year on EC2 for those 150 nodes running 24×7, which is roughly consistent with current on‑demand pricing for this node class and usage pattern.

At a 12% management fee, that $1,000,000 EC2 bill implies an Auto Mode charge of about $120,000 per year (1,000,000 × 0.12 ≈ 120,000). The exact amount will vary with your instance mix, Region, and discounts, but this example shows the order of magnitude of the Auto Mode surcharge for a mid‑sized cluster.

That 120,000 USD per year is not paying for a platform team, 24×7 on‑call, architecture, or add‑on management; it's purely the infrastructure management premium to get Auto Mode’s features on top of your existing EKS and EC2 costs.

Here’s what many organizations end up paying for a single moderately sized environment:

Line item

EKS Auto Mode + Capabilities

Fairwinds Managed KaaS

EKS control plane

Yes (AWS pricing per cluster)​

Yes (AWS pricing remains the same)

EC2 compute

Yes

Yes

Auto Mode management fee

~120,000 USD / year (150 m5a.4xlarge nodes at ~12%)

0

Internal platform/SRE engineer

Often ≥1 FTE (for example, a US‑based senior SRE with 150,000–200,000 USD base comp plus 20–30% benefits and overhead) for K8s management

Still required, but spending more time on enablement and app‑facing work instead of day‑to‑day K8s efforts

Fairwinds Managed KaaS subscription

0

Priced to cover multiple clusters; commonly less than the cost of a single senior Kubernetes engineer for similar platform scope

These are illustrative numbers, not a quote, but they show a simple pattern: Auto Mode adds a percentage fee on your compute while you still fund a platform team, whereas Fairwinds replaces much of that platform headcount with a fixed subscription and a platform designed, built, and maintained for your unique needs.

Similar Spend, Different Outcomes

For many organizations, once you include platform headcount, on‑call overhead, and integration work, the “cheap” AWS feature ends up attached to an expensive home‑grown platform.

All of this means the same responsibilities (architecture, add‑ons, and 24×7 operations) remain on your team unless you hand the platform to a managed provider.

With Fairwinds Managed KaaS, you get:

  • Fewer paging events and faster incident resolution because Kubernetes experts own the platform layer.
  • Shorter upgrade and rollout cycles, since version and add‑on changes follow tested playbooks instead of ad‑hoc experiments.
  • Lower platform toil for SREs, who can focus on internal developer experience and product reliability instead of cluster maintenance.
  • Built‑in cost and security guardrails through Fairwinds Insights across clusters, so you keep cloud spend and risk under control as you scale.

EKS Auto Mode and EKS Capabilities are good building blocks, but they still leave you building and operating the platform with your own engineering time and budget. Fairwinds Managed KaaS gives you the platform, the playbooks, and the people. When you compare the full cost of ownership, not just the line item for an AWS feature toggle, the managed platform plus expert team often ends up being the more efficient and predictable way to run Kubernetes at scale. In customer environments moving from self‑managed EKS to Managed KaaS, Fairwinds reduces internal platform toil while keeping or improving reliability and cost efficiency.

If your team is ready to stop running Kubernetes and start just using it, it makes sense to evaluate Fairwinds Managed KaaS.