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Kubernetes Consulting Services for Teams Whose Cluster Became a Second Job

For product teams running Kubernetes on EKS, GKE, or AKS: workloads tuned, upgrades rehearsed, and a cluster your team can change with confidence. From $1,150.

  • 1

    Rehearsed upgrade path per cluster

  • 100%

    Workloads with requests and limits

How your project runs

page.jsx123456TERMINAL$ npm run buildCompiled successfullyyourapp.comLive

Teams we have built for:

  • Amazon Web Services
  • HubSpot
  • Linode
  • Microsoft Azure
  • Moodle
  • Magento
  • Oracle
  • Salesforce
  • SAP
  • Squarespace
  • Weebly
  • WP Engine
  • Google Cloud
  • DigitalOcean

The Problem

Your Cluster Works, but Nobody Wants to Touch It

It shows up a year after the first cluster goes live. The engineer who built it moves on, versions fall behind, and every upgrade notice lands like a threat.

  1. 01 · Noisy pods

    One busy pod starves every other workload on the node.

    Requests and limits per workload keep each one inside its own share.

  2. 02 · Laptop deploys

    Deploys still run from a laptop with kubectl apply.

    GitOps with Argo CD or Flux applies every change from a reviewed commit.

  3. 03 · Upgrade fear

    Upgrade notices pile up while the cluster version falls behind.

    Each upgrade is rehearsed on a test cluster first, with a written runbook.

  4. 04 · Mass evictions

    A node pool upgrade evicts every pod at once.

    Disruption budgets and readiness probes let nodes drain without taking the app down.

Your cluster went live last year, and the engineer who set it up has since moved on. Half the workloads have no resource requests, so one busy pod starves the rest. Deploys still run from someone's laptop with kubectl apply. Upgrade notices from your provider keep arriving, and Kubernetes ships a new minor version about 3 times a year. Nobody knows which APIs the old manifests use. Then a node pool upgrade evicts everything at once, and checkout goes down mid-afternoon.

We start with a review of the cluster you already run: versions, add-ons, deprecated APIs, and how each workload asks for CPU and memory. Then we set requests and limits, add readiness probes and disruption budgets, and rehearse the next upgrade on a test cluster. Deploys move to GitOps, so the cluster matches Git. The next upgrade notice becomes a scheduled task, not a fire drill.

  • Upgrades rehearsed first

    Each version upgrade runs on a test cluster before it touches production, with a written runbook.

  • Requests and limits set

    Every workload in scope asks for the CPU and memory it really needs, so one pod can't starve the rest.

  • Git as the source of truth

    Argo CD or Flux keeps the cluster matching Git, so laptop deploys and silent drift stop.

Our Kubernetes Consulting Services Process

From a Fragile Cluster to Routine Upgrades in Five Clear Steps

You see every finding with its risk, approve each change as a pull request, and keep the manifests, Helm charts, and runbooks when we finish.

  1. We talk through your cluster, where it runs, what it hosts, and what keeps breaking. If a simpler platform would serve you better, we say so on this call. Otherwise you get a plan and a fixed price within 2 business days.

What's Included

What You Get With Container Orchestration Consulting

Every plan audits one cluster, sets requests and limits, and rehearses the next upgrade. Larger plans add GitOps, autoscaling, dashboards, and a new managed cluster with services moved in.

  • Cluster audit report

    Versions, add-ons, deprecated APIs, and resource use reviewed, with every gap ranked by its risk to production.

  • Requests, limits, and probes

    Each workload in scope gets CPU and memory requests, limits, readiness probes, and a disruption budget.

  • Rehearsed upgrade runbook

    The next minor version tested on a short-lived cluster, with steps your team can repeat at every release.

  • GitOps deploys

    Argo CD or Flux applies changes from Git, so every deploy is reviewed and every rollback is a revert.

  • Autoscaling that fits

    Horizontal Pod Autoscaler for workloads, plus Cluster Autoscaler or Karpenter for nodes, tuned to real traffic.

  • Dashboards and training

    Prometheus and Grafana dashboards with alerts, runbooks for common incidents, and team training on the largest plan.

Compare Options

DeveloperLook vs a Freelance Expert vs a Managed Platform

A managed platform can take clusters off your plate entirely, and a freelance expert costs less for a single task. Here's where a fixed-price Kubernetes engagement fits.

DeveloperLook
Freelance expert
Starting cost
DeveloperLook: From $1,150, fixed scopeFreelance expert: Hourly, often the lowest
Need for Kubernetes
DeveloperLook: Questioned on the first callFreelance expert: Rarely questioned
Version upgrades
DeveloperLook: Rehearsed, with a runbookFreelance expert: Depends on the person
Deploy method
DeveloperLook: GitOps with Argo CD or FluxFreelance expert: Varies by freelancer
Flexibility
DeveloperLook: Full Kubernetes controlFreelance expert: Full Kubernetes control
Who does the work
DeveloperLook: Senior engineers, named upfrontFreelance expert: One person
What you keep
DeveloperLook: Manifests, charts, and runbooksFreelance expert: Depends on the contract
Best fit
DeveloperLook: Teams already on KubernetesFreelance expert: One clear, small task

Projects We've Built

Platforms our team built with an app, a dashboard, and APIs working together, the kind of systems that end up on Kubernetes. They're builds, not Kubernetes engagements.

What Our Clients Say

What Clients Say After Launch

Feedback from teams we have built web apps and websites for.

We had a pretty specific idea of what we wanted our website to become, but I wasn’t sure how easily we could explain all of it to a development team. There were quite a few moving parts, and we were working toward a deadline, so I expected a few things to get lost along the way. That never really happened. They understood what we were trying to achieve, kept us updated throughout the process, and got everything ready within the agreed timeline. The final site feels much easier to navigate, works beautifully on mobile, and is noticeably smoother for our customers. It was a huge relief seeing the original idea actually turn into the website we had in mind.

Michael BennettFounder & CEO of Northbridge Consulting01 / 03
  • 1,250+

    Projects shipped

  • 10+

    Years of experience

  • Top 3%

    Upwork Top Rated Plus

  • 5 stars

    Average review score

Want results like these?

Tell us what you are building. You get a reply within 24 hours on business days, then a written estimate.

Work Culture

Why Platform Teams Trust Us With Kubernetes

Good Kubernetes help should leave your team calmer about the cluster, not more dependent on us. These habits keep changes reviewable and upgrades routine.

  • Kubernetes only when it fits

    A few services and one database often run better on a managed platform. If that already covers your case, we'll tell you before we quote.

  • Upgrades on a calendar

    Kubernetes ships about 3 minor versions a year, each with roughly 14 months of patches. We plan your upgrades around that rhythm instead of reacting to deadline emails.

  • Pull requests, not kubectl

    Every change lands as a commit your team reviews. Nothing gets applied by hand, so the cluster and Git stay in step from one release to the next.

  • Simple defaults first

    We pick managed add-ons and standard tools over custom operators where they do the job. Fewer moving parts mean fewer pages in the middle of the night.

  • Your team runs it after

    Runbooks and walkthroughs explain the reason behind each setting. Our goal is a team that handles the next upgrade on its own, without calling us.

  • Measured before tuned

    We read real CPU and memory use before setting any request or limit. Guessing too low causes evictions, and guessing too high wastes money on idle nodes.

Overview

What do Kubernetes consulting services include?

DeveloperLook provides Kubernetes consulting services for teams running EKS, GKE, AKS, or self-managed clusters. We audit the cluster, set requests and limits, rehearse upgrades on a test cluster, and add GitOps and autoscaling. Plans start at $1,150 and take 2 to 3 weeks, larger builds 4 to 10 weeks, and we'll say so when a simpler platform fits better.

DEVELOPERLOOK

Project facts · Kubernetes Consulting Services

Service
Kubernetes consulting services (cluster audit, tuning, upgrades, GitOps)
Typical timeline
2 to 3 weeks for a tune-up, 4 to 10 weeks for readiness and builds
Platforms
Amazon EKS, Google Kubernetes Engine, Azure Kubernetes Service, and self-managed clusters
Built with
Helm, Argo CD, Flux, Karpenter, Prometheus, and Terraform
Experience
10+ years of development experience and 1,250+ shipped projects
Post-launch support
14, 30, or 60 days of follow-up questions, by plan
Communication
Calls in US, UK, and AU business hours
Starting price
From $1,150 USD, fixed scope after a free cluster call

Reviewed 10 Oct 2026 by Saimul Islam

Good fit

  • Teams that inherited a cluster

    You inherited a Kubernetes cluster when its builder left, and you need Kubernetes consultants who explain it before changing anything.

  • Startups facing a forced upgrade

    Your EKS version leaves standard support soon, and extended support adds a per-cluster fee. You want to hire a Kubernetes expert to upgrade it safely.

  • Companies moving off virtual machines

    You're moving services off virtual machines and want Kubernetes professional services that plan the cluster, the deploys, and the cutover together.

  • Teams comparing outside help

    You're weighing a Kubernetes consulting company against an in-house hire and want a small fixed-price project as a test before any retainer.

  • Agencies with Kubernetes clients

    Your agency runs client apps on Kubernetes without a platform engineer, and you need Kubernetes developers for hire who work under your brand.

Not a fit

  • A few services, one database

    You run a few services and one database with steady traffic. A managed platform such as Cloud Run fits better, and Docker Containerization Services can package your app for it.

  • Want monthly cluster ops

    You want someone running the cluster every month rather than a fixed project. DevOps Services covers ongoing cluster work on a monthly plan.

  • Need SLOs and on-call

    Your cluster is healthy, but alerts fire on server graphs instead of user pain. Site Reliability Engineering Services sets SLOs and on-call around your apps.

  • Budget under $1,150

    Your budget is under $1,150 and the cluster runs one small app. An automatic mode such as GKE Autopilot or EKS Auto Mode may cover what you need.

Not sure we're the right fit?

Book a free call or message us. We'll tell you honestly whether we're the right team.

Pricing

Transparent Starting Prices for Kubernetes Consulting Services

These are starting points in USD. Your final price depends on cluster count, workloads in scope, and whether we build a new cluster, and you get a fixed proposal after a free cluster call.

$2k$4k$6k$8k$10k$1,150$3,500$7,900

For one cluster with up to 10 workloads that needs tuning and a safe next upgrade.

$1,150one-time, USD

Get a fixed quote
  • One EKS, GKE, AKS, or self-managed cluster
  • Version, add-on, and deprecated API audit
  • Requests and limits for up to 10 workloads
  • Readiness probes and disruption budgets
  • Next upgrade rehearsed, with a runbook
  • 14 days of follow-up questions

Recommended

For teams with up to 30 workloads that want GitOps, autoscaling, and dashboards.

$3,500one-time, USD

Get a fixed quote
  • Everything in Cluster Tune-Up
  • Up to 30 workloads tuned
  • Helm charts and GitOps with Argo CD or Flux
  • Pod autoscaling plus Cluster Autoscaler or Karpenter
  • Prometheus and Grafana dashboards with alerts
  • One live upgrade and 30 days of follow-up

For teams moving onto a new managed cluster, with services migrated and staff trained.

$7,900one-time, USD

Get a fixed quote
  • Everything in Production Readiness
  • New EKS, GKE, or AKS cluster built in Terraform
  • Up to 15 services moved from VMs or an old cluster
  • Namespaces, quotas, and RBAC for each team
  • Cost allocation per team with OpenCost
  • 2 training sessions and 60 days of follow-up

For Agencies

White-Label Kubernetes Consulting for Agencies and Studios

You own the client relationship. We supply the Kubernetes engineering: cluster audits, tuning, upgrades, and GitOps for the client platforms you run, delivered under your brand. Your team stays the contact, while we work inside each client's cluster and repositories.

How the partnership works

White label: your client only ever sees your brand

  • Your client
  • You, the agency
  • DeveloperLook
  1. Share the clusters

    List client clusters, where they run, and what keeps breaking in each one.

    1. Client needs
    2. You share the details
    3. Details received
  2. We audit and tune

    We audit each cluster, fix the agreed gaps, and rehearse its next upgrade.

    1. Scope and plan
    2. Proposal to resell
    3. Your quoteYOUR LOGO
  3. You present the work

    You walk each client through the changes in your own branded report.

    1. Done by our team
    2. Your brand on it
    3. Handed to your clientDone
  • Your brand, our engineers

    Audit reports and runbooks delivered with your agency's name on them.

  • Upgrades handled

    Client clusters kept on supported versions, with every upgrade rehearsed first.

  • Set price per cluster

    A set price for each client cluster, easy to quote onward.

  • Platform backup

    Engineers who answer your developers' Kubernetes questions during client work.

The Right Technology for Your Project

Technology Stack

The managed Kubernetes services we work on, plus the deploy, scaling, infrastructure, and observability tools we use to keep clusters healthy.

    • Amazon EKS
    • Google Kubernetes Engine
    • Azure Kubernetes Service
    • Kubernetes
    • K3s
    • Helm
    • Argo CD
    • Flux
    • GitHub Actions
    • Docker logoDocker
    • Terraform
    • Karpenter
    • Cilium
    • NGINX Ingress
    • Prometheus
    • Grafana
    • OpenTelemetry
    • Datadog

FAQ

Frequently Asked Questions

Straight answers on cost, timelines, choosing and hiring consultants, whether you need Kubernetes, and safe upgrades.

  • DeveloperLook's Kubernetes work starts at $1,150 for a fixed-price tune-up of one cluster with up to 10 workloads and a rehearsed upgrade. Production Readiness is $3,500 for up to 30 workloads with GitOps, autoscaling, and dashboards. Platform Build is $7,900 for a new managed cluster with up to 15 services moved in. You get a fixed proposal after a free cluster call.

  • A cluster tune-up takes 2 to 3 weeks, including the upgrade rehearsal. Production Readiness takes 4 to 6 weeks, because GitOps and autoscaling get tested under real traffic. A Platform Build with services moved in takes 8 to 10 weeks. Follow-up questions are covered for 14 to 60 days after handover, by plan.

  • Kubernetes consulting is bringing in outside experts to design, fix, or run your Kubernetes clusters and the workloads on them. Work ranges from a one-off audit to a production platform with GitOps, autoscaling, and monitoring. A good Kubernetes consultancy also teaches your team, so the cluster doesn't depend on the consultant.

  • Teams hire Kubernetes consultants when the cluster has become a risk they can't fix alongside product work. Typical triggers are a forced version upgrade, repeated evictions, or a builder who left. Consultants bring patterns from many clusters, so fixes that would take your team weeks of trial and error take far less time.

  • The best Kubernetes consulting companies for you depend on your cluster count and how much help you need. Large firms suit enterprise platform programs. Smaller teams like DeveloperLook suit companies with 1 to 3 clusters that want senior engineers on a fixed price. If certification matters to procurement, the CNCF lists Kubernetes Certified Service Providers.

  • Yes, Kubernetes consulting improves your cloud infrastructure when the cluster is part of the problem. Right-sized requests cut wasted nodes, autoscaling matches capacity to traffic, and GitOps makes every change traceable. If the real issue sits outside the cluster, such as the network or the database, we'll say so and point to the right fix.

  • To hire Kubernetes developers, test them on your real cluster rather than on trivia questions. Ask how they'd upgrade it, how they'd set requests and limits, and how they'd roll back a bad deploy. If you need help before a hire can start, a fixed-scope project covers the gap and leaves runbooks your new hire can use.

  • Not every team needs Kubernetes: a few services often run better on a managed platform such as Cloud Run or Azure Container Apps. Kubernetes earns its cost when you run many services, need custom networking or scheduling, or want one platform across clouds. We ask this on the first call, before any quote.

  • We upgrade a Kubernetes cluster by rehearsing first, on a short-lived test cluster at the next version. Deprecated APIs in your manifests get fixed in Git. Then the control plane upgrades, followed by node pools one at a time, with disruption budgets keeping apps up. On EKS, staying current also avoids the extra fee for extended support.

  • You keep every manifest, Helm chart, Terraform module, dashboard, and runbook, all in your own repositories and accounts. With GitOps, the cluster's full state lives in Git, so your team or a new hire can rebuild it from there. Our access ends at handover, and follow-up questions stay covered for 14 to 60 days.

Saimul IslamFounder & CEO, DeveloperLook

Still have questions?

Send a message or book a call with the team.

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