Most teams searching "Kubernetes consulting" need one of three things: an EKS cluster designed right the first time, a fragile or expensive cluster made boring, or an honest second opinion on whether they need Kubernetes at all. This page covers what a real EKS engagement includes, the mistakes consultants fix, how to vet a partner, and what it costs.
EKS gives you a managed control plane. Out of the box you do not get ingress, autoscaling that fits your workloads, a delivery pipeline or sensible network and account isolation. Bridging that gap, in code you can hand to your engineers, is the work.
The most valuable thing a good consultant can tell you is that you do not need Kubernetes yet. Its generality is why it is heavy to run: more moving parts, version upgrades, a second permission system and add-ons to keep current.
If your answer to "why Kubernetes?" is "it is the standard" or "we might need it later", start on ECS with Fargate and move to EKS when a concrete need appears; images and CI carry over. If your answer is "we have N teams and M services and need a shared platform", EKS is probably right. See ECS vs EKS.
Most EKS rescue work is the same handful of mistakes from a cluster stood up under deadline. If several sound familiar, the job is hardening what you have, not a rebuild.
Fargate is a capacity mode that runs under both ECS and EKS, so the real choice is usually orchestrator (ECS or EKS) and capacity (Fargate or EC2), with Lambda when you do not want containers at all.
| Runtime | What it is | Best for | Ops burden | Watch out for |
|---|---|---|---|---|
| Amazon EKS | Managed Kubernetes; portable, large ecosystem | Many services or teams, portability, GPU and complex workloads | Highest: you run the data plane, add-ons, upgrades, RBAC | Complexity, learning curve, per-cluster fee |
| Amazon ECS | AWS-native orchestrator; simpler | Containers without operating Kubernetes | Low to medium | AWS-only; smaller ecosystem |
| AWS Fargate | Serverless capacity for ECS or EKS | Removing node patching and scaling; spiky load | Lowest for the data plane | Higher price than EC2 at steady state; some limits |
| AWS Lambda | Functions, no servers or containers | Event-driven work, glue, bursty APIs, scheduled jobs | Minimal | Cold starts, time and size limits, cost at sustained high volume |
The gap between someone who has "used Kubernetes" and someone who has run EKS through real incidents and audits is large, and it does not show on a résumé. Strong practitioners answer with specifics and trade-offs.
Rough 2026 ranges, not quotes. Independent senior EKS specialists and boutique firms often bill $150 to $300+ an hour; larger consultancies more. Good partners scope to an outcome, not hours.
EKS work on its own is paid by you. If the build is part of a move to AWS (for example from GKE or AKS), a proof of concept, or a new workload you are launching on AWS, your matched partner can file MAP, POC or incremental workload (IW) funding: typically $50K to $150K for startups. Depends on the workload; AWS approves. AWS Activate credits are separate: you apply for them yourself, and they pay AWS usage, not partner fees.
Hiring for Kubernetes is slow and hard to judge if you lack the skill in-house. CloudRoute matches you with one vetted EKS partner instead.
CloudRoute is free for startups. Partners pay CloudRoute a monthly membership plus 10% of AWS-approved funding.
Be honest about which column describes you. The extra complexity of EKS pays off only in the left one.
| Factor | Amazon EKS | ECS with Fargate |
|---|---|---|
| Right when | Many services and teams, portability, platform engineering, GPU or complex workloads | A handful of services, small team, AWS-only is fine |
| Operational burden | Highest: data plane, add-ons, upgrades, second RBAC system | Low: no nodes to patch |
| Portability | High | AWS-only |
| Ecosystem | Large: Argo CD, Karpenter, service mesh, operators, Helm | Smaller, AWS-native |
| Learning curve | Steep | Gentle |
| Cost shape | $0.10 per cluster per hour plus compute; Karpenter and Spot can save a lot when tuned | No orchestration fee; pay per task; Fargate premium at steady state |
| Migration path | You can move here later; images and CI carry over | A sound start; rarely a dead end |
You fill in a short form: what you run today, what you want to move, test or build, your stage and your region.
We read your answers and pick one vetted AWS consulting partner that fits the work, the stack and the region. We reply within 24 hours; your matched partner reaches out within 5 business days.
Your matched partner scopes the work with you. Then it checks which partner-filed funding fits: MAP if you are moving to AWS, POC if you want to test something, or incremental workload (IW) funding if you are already on AWS and launching new work.
If the work qualifies, the partner files the funding request with AWS. AWS reviews it and decides. The amount depends on the workload.
CloudRoute is free for startups. Partners pay CloudRoute a monthly membership plus 10% of AWS-approved funding.
AWS Activate credits are separate, and you apply for them yourself. Use Activate Founders if no investor backs you. Use Activate Portfolio with the Org ID or invite from your VC, accelerator, incubator or angel group if it is an Activate Provider. A consulting partner cannot apply for Activate on your behalf.
CloudRoute matches you with one vetted EKS partner who designs the cluster, fixes the fragile one, or tells you honestly that ECS with Fargate is the better call. CloudRoute is free for startups.