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Kubernetes consulting that starts with whether you need it. Kubernetes consulting services: honest fit assessment, cluster setup on EKS, AKS or k3s, Helm and GitOps deploys, upgrades, monitoring and managed operations.
We design, build and run Kubernetes clusters for teams that genuinely need them, and we tell you plainly when a simpler setup would serve you better. That covers managed clusters on Amazon EKS and Azure AKS, lightweight k3s on your own servers, the manifests and pipelines that deploy your services, and the upgrades, monitoring and backups that keep a cluster healthy after launch. Everything is written down and lives in your accounts.
Where teams usually are when they call us. Kubernetes was chosen before the problem was clear A cluster is running a handful of services that would fit on one server, and the team spends more time on the platform than on the product.
The cluster nobody wants to upgrade It is several minor versions behind, out of standard support, and nobody is sure which add-ons or APIs will break on the next upgrade.
Deploys are kubectl from a laptop Manifests were edited live, what is running no longer matches the repository, and rollbacks depend on memory.
Costs and failures are hard to explain Nodes sit half empty, pods restart without anyone noticing, and there is no clear picture of what each service uses or why it fails.
What our Kubernetes work covers. Fit assessment We look at your services, traffic, team and budget, then recommend Kubernetes, Docker Compose or a managed container service, with the reasons in writing.
Cluster design and setup Managed clusters on EKS or AKS, or k3s on your own servers, defined as code with node sizing, networking, storage classes and access control.
Application packaging Helm charts or Kustomize overlays per service, with resource requests and limits, health probes and separate values for staging and production.
Deploy pipelines and GitOps Images built and scanned in GitHub Actions or Azure DevOps, then rolled out from Git with Argo CD or a pipeline step, so the repository is the source of truth.
Traffic, TLS and secrets Gateway API or ingress routing, cert-manager for certificates, and secrets kept out of the repository with your cloud's secret store or sealed secrets.
Monitoring and logging Prometheus metrics, Grafana dashboards, central logs and alerts on the things that matter: failing pods, full disks, expiring certificates and error rates.
Upgrades and backups A tested routine for control plane, node and add-on upgrades, and backups of cluster state and persistent volumes with restores practised on a schedule.
Runbooks and hand-over Written procedures for deploys, rollbacks, scaling and common incidents, plus sessions with your engineers so they can operate the cluster themselves.
Engagement options Kubernetes readiness review A short engagement for teams deciding whether to adopt Kubernetes, or unsure about the cluster they already have.
Review of services, hosting, traffic and team skills Kubernetes versus simpler options, compared in writing Risks in an existing cluster: versions, access, backups A prioritised plan you can act on with or without us Cluster build or migration A fixed-scope project to stand up a production cluster or move services onto one, then hand it to your team.
Cluster defined as code on EKS, AKS or k3s Helm or Kustomize packaging for each service CI/CD, monitoring, TLS and secrets in place Runbooks and a hand-over session Managed Kubernetes A monthly retainer where we operate the cluster alongside your developers.
Version upgrades and add-on maintenance Monitoring, alerting and incident response Capacity and cost reviews Coverage hours and response times agreed in the retainer How it works Scoping call We talk through what you run, how you deploy today, and what you expect Kubernetes to fix.
Assessment We review the code, hosting and any existing cluster, then send a written recommendation. Sometimes that recommendation is not to use Kubernetes.
Build in staging The cluster, packaging and pipelines are built in two-week increments on staging, and services move across one at a time once each is proven.
Hand over or run On a project we hand over code, configuration and documentation. On a retainer we keep the cluster upgraded, monitored and backed up.
Why Infigini We will say no Plenty of the systems we run work well on Docker Compose or Dokploy on a single server. We recommend Kubernetes when it solves a problem you actually have, and we explain the trade-off either way.
We operate what we build We run our own platforms and client infrastructure, so upgrades, outages and restores are routine work for us, not theory.
Developers and operators in one team The same engineers write application code, so health checks, migrations and resource limits are set up around how your services behave.
Nothing is locked to us Clusters, pipelines, images and documentation sit in your cloud and Git accounts from day one, so you can take operations in-house at any point.
Technologies: Kubernetes, Amazon EKS, Azure AKS, k3s, Helm, Kustomize, Argo CD, GitHub Actions, cert-manager, Prometheus, Grafana, Docker
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Frequently asked questions What do Kubernetes consulting services include? It depends on where you are. For a new adoption we start with a fit assessment, then design and build the cluster, package your services with Helm or Kustomize, set up CI/CD, monitoring, TLS and secrets, and hand over runbooks. For an existing cluster we review versions, access, costs and backups, then fix the gaps or take over day-to-day running on a retainer.
How do we know if we actually need Kubernetes? Kubernetes earns its keep when several things are true at once: many services owned by different teams, workloads that no longer fit on one or two servers, traffic that varies enough for autoscaling to matter, and people who can operate it. With a few services and steady traffic, Docker Compose on a well-run server is usually cheaper and easier to support. Our assessment puts this comparison in writing.
Should we use EKS, AKS or run our own cluster? If you already use AWS or Azure, the managed service there is usually the right start, because the provider runs and patches the control plane. You still plan version upgrades, node updates and add-ons. Self-managed k3s on your own servers suits private or on-premise setups and smaller budgets, but you take on all the patching and recovery. We recommend based on where your data, team and existing accounts already are.
Can you take over and upgrade a cluster someone else built? Yes. We start by capturing what is actually running, including live edits that never reached the repository, and moving it into version-controlled manifests. We then check for deprecated APIs and add-on compatibility, upgrade one minor version at a time on a staging copy first, and only then upgrade production. Each Kubernetes minor release gets about 14 months of upstream patch support, so upgrades need to be a routine.
Can you move our existing applications onto Kubernetes? Yes, one service at a time. We containerise each application if needed, add health probes and resource limits, write its chart, and run it in staging next to the current setup. Traffic moves across once it is proven. Databases often stay on a managed service or a dedicated server rather than in the cluster, because that is simpler to back up and recover.
How are Kubernetes consulting services priced? Readiness reviews and cluster builds are quoted at a fixed price once we understand the scope, which depends on the number of services, environments and existing infrastructure. Managed Kubernetes is a fixed monthly retainer based on cluster size, the number of workloads and the support hours you need. Cloud and hosting costs are billed to your own account. Tell us about your setup and we will send an estimate.
Will our team be able to run the cluster without you? That is the aim. Everything is defined as code in your repository, deploys go through pipelines rather than manual commands, and runbooks cover upgrades, rollbacks and common incidents. We run hand-over sessions with your engineers and can stay on a small retainer for upgrades or escalations if you want a safety net.
Do you work with teams outside India? Yes. We are based in Dehradun, work remotely with clients in India and abroad, and reply within one business day. For managed clusters, the coverage hours and response times for alerts and incidents are agreed in the retainer before work starts.
Further reading Zero-downtime deploys without Kubernetes, step by step
Kubernetes requests and limits: setting CPU and memory right
k3s for small production clusters: when it fits and how to run it
When we don't recommend Kubernetes
Docker Compose in production: the checklist we use
Infigini IT Services · 11 Kanwali Road, Dehradun 248001, India · info@infigini.com · +91 95684 87789